Name: Linux Operating System: A Complete Linux Guide for Beginners
Price: 82.99 GBP
Availability: InStock

Progression in today's data-driven world requires proficiency in Python data science. Proficiency in Python for data science can revolutionise one's career by enabling professionals to build models, extract insights, and make well-informed decisions from large datasets. This can lead to a variety of opportunities across industries. Because of its simplicity of use, data scientists prefer it over other languages for efficiently handling data. Robust data manipulation, analysis, visualisation, and machine learning tools are available with Python's vast libraries, including NumPy, Pandas, Matplotlib, and Scikit-learn. These tools enable experts to use Python to efficiently extract insights, build predictive models, and make data-driven decisions. To get everything you need in one place, sign up for our QLS-approved "Python Data Science: QLS Machine Learning" course!The fundamentals of Python for data science are the main focus of the course "Python Data Science: QLS Machine Learning." It begins with an introductory unit that familiarises students with the syntax of Python and critical ideas in data science. The upcoming units focus on specialised software for data cleaning and visualisation, two essential skills for any data scientist. A range of Python techniques and tools that facilitate the cleanup of jumbled datasets and the creation of visually appealing data visualisations are covered in the course.Missing out on this perfect pack will be a significant loss for IT enthusiasts. Take the "Python Data Science-QLS Machine Learning" course to discover the full potential of Python in data science. Explore the possibilities of Python for more than just data manipulation and cleaning. Get practical experience with the state-of-the-art instruments and methods necessary for a prosperous data science career.Learning outcomes at a glance:Completing the study of this Python Data Science-QLS Machine Learning makes learners able to:<ul><li>Learn the syntax of Python to manipulate and analyse data</li><li>Use data cleaning software to prepare datasets effectively</li><li>Make effective use of data visualisation tools when presenting insights</li><li>Apply predictive analysis and machine learning methods</li><li>Analyse and effectively convey conclusions drawn from data visualisations</li><li>Gain knowledge of Python for practical data science applications</li></ul>Kinstone Open College offers the following services for the "Python Data Science-QLS Machine Learning" course:<ul><li>Intensive Study Notes</li><li>Tutor Support</li><li>Customer Support</li><li>Assignment Help</li><li>QLS-endorsed certificate</li><li>24/7 Learning Portal Access</li><li>Widely Compatible Study Materials</li></ul>"QLS approved this accredited course as a highly qualified, unregulated training programme and supply. A trainer will be available to address your inquiries, including how to advance into additional higher education."Course Curriculum of Python Data Science<ul><li>Unit 01: Introduction to Python Data Science</li><li>Unit 02: Data Cleaning Packages</li><li>Unit 03: Data Visualisation packages</li></ul>Assessment and CertificationTo receive a Python Data Science certificate, learners must submit a comprehensive assignment summarising all the units our expert tutor will assess. The assignment must meet the learning outcomes according to the standard set by QLS. The learner will be awarded the certificate once the assignment passes the quality check.Endorsed Certificate of Achievement from the Quality Licence SchemeWhen the course is over, students will receive an endorsed certificate to prove they completed it. A certificate can be obtained if the student completes all class assessments.<h2>
 
 <div>CPD</div>
 </h2>

 <div id="cpd">
 <div>
 <div>
 <div>
 10 CPD hours / points
 </div>
 <div>
 Accredited by CPD Quality Standards
 </div>
 </div>
 </div>
 </div><h2>
 
 <div>Who is this course for?</div>
 </h2>

 <div id="who_is_this_course_for">
 Regardless of experience and educational background, anyone can study and benefit from this Python Data Science-QLS Machine Learning course. However, the following categories of learners are the best for this course:<ul><li>Data Enthusiasts: People who have a strong interest in working with data and are keen to see how Python may help with data cleaning, analysis, and visualisation</li><li>Aspiring Data Scientists: People who want to work in data science and are looking for a core understanding of Python for machine learning and data manipulation.</li><li>Analytics Professionals: Analytics experts are eager to broaden their expertise by becoming proficient in Python's data handling packages to enable more effective analysis.</li><li>Business Analysts: professionals who want to sharpen their abilities in interpreting data so they can use visualisation to communicate their ideas successfully.</li><li>Computer Science Students: Computer science students who want hands-on experience with Python-based data analysis and manipulation</li><li>Career Switchers: People making the move into the data science field who need to have a basic understanding of the use of Python in data analysis.</li><li>Researchers and Academics: Academic professionals who want to use Python for data-related research and disseminate their findings with clear and concise visual aids.</li></ul>
 </div><h2>
 
 <div>Requirements</div>
 </h2>

 <div id="requirements">
 There are no formal requirements needed for this Python Data Science course. So, learners are not required to have prior qualifications to enrol in this course.
 </div><h2>
 
 <div>Career path</div>
 </h2>

 <div id="career_path">
 Python Data Science-QLS Machine Learning course is relevant and demanded in many job roles, including:<ul><li>Data Analyst: £25,000 to £50,000</li><li>Data Scientist: £35,000 to £80,000</li><li>Machine Learning Engineer: £40,000 to £90,000</li><li>Business Intelligence Analyst: £30,000 to £60,000</li><li>Quantitative Analyst: £40,000 to £100,000+</li><li>Data Engineer: £40,000 to £80,000</li><li>Research Scientist (in AI/ML): £40,000 to £90,000+</li></ul>
 </div>

Progression in today's data-driven world requires proficiency in Python data science. Proficiency in Python for data science can revolutionise one's career by enabling professionals to build models, extract insights, and make well-informed decisions from large datasets. This can lead to a variety of opportunities across industries. Because of its simplicity of use, data scientists prefer it over other languages for efficiently handling data. Robust data manipulation, analysis, visualisation, and machine learning tools are available with Python's vast libraries, including NumPy, Pandas, Matplotlib, and Scikit-learn. These tools enable experts to use Python to efficiently extract insights, build predictive models, and make data-driven decisions. To get everything you need in one place, sign up for our QLS-approved "Python Data Science: QLS Machine Learning" course!
The fundamentals of Python for data science are the main focus of the course "Python Data Science: QLS Machine Learning." It begins with an introductory unit that familiarises students with the syntax of Python and critical ideas in data science. The upcoming units focus on specialised software for data cleaning and visualisation, two essential skills for any data scientist. A range of Python techniques and tools that facilitate the cleanup of jumbled datasets and the creation of visually appealing data visualisations are covered in the course.
Missing out on this perfect pack will be a significant loss for IT enthusiasts. Take the "Python Data Science-QLS Machine Learning" course to discover the full potential of Python in data science. Explore the possibilities of Python for more than just data manipulation and cleaning. Get practical experience with the state-of-the-art instruments and methods necessary for a prosperous data science career.
Learning outcomes at a glance:
Completing the study of this Python Data Science-QLS Machine Learning makes learners able to:
Learn the syntax of Python to manipulate and analyse data
Use data cleaning software to prepare datasets effectively
Make effective use of data visualisation tools when presenting insights
Apply predictive analysis and machine learning methods
Analyse and effectively convey conclusions drawn from data visualisations
Gain knowledge of Python for practical data science applications
Kinstone Open College offers the following services for the "Python Data Science-QLS Machine Learning" course:
Intensive Study Notes
Tutor Support
Customer Support
Assignment Help
QLS-endorsed certificate
24/7 Learning Portal Access
Widely Compatible Study Materials
"QLS approved this accredited course as a highly qualified, unregulated training programme and supply. A trainer will be available to address your inquiries, including how to advance into additional higher education."
Course Curriculum of Python Data Science
Unit 01: Introduction to Python Data Science
Unit 02: Data Cleaning Packages
Unit 03: Data Visualisation packages
Assessment and Certification
To receive a Python Data Science certificate, learners must submit a comprehensive assignment summarising all the units our expert tutor will assess. The assignment must meet the learning outcomes according to the standard set by QLS. The learner will be awarded the certificate once the assignment passes the quality check.
Endorsed Certificate of Achievement from the Quality Licence Scheme
When the course is over, students will receive an endorsed certificate to prove they completed it. A certificate can be obtained if the student completes all class assessments.
 CPD 
10 CPD hours / points  Accredited by CPD Quality Standards
 Who is this course for? 
Regardless of experience and educational background, anyone can study and benefit from this Python Data Science-QLS Machine Learning course. However, the following categories of learners are the best for this course:
Data Enthusiasts: People who have a strong interest in working with data and are keen to see how Python may help with data cleaning, analysis, and visualisation
Aspiring Data Scientists: People who want to work in data science and are looking for a core understanding of Python for machine learning and data manipulation.
Analytics Professionals: Analytics experts are eager to broaden their expertise by becoming proficient in Python's data handling packages to enable more effective analysis.
Business Analysts: professionals who want to sharpen their abilities in interpreting data so they can use visualisation to communicate their ideas successfully.
Computer Science Students: Computer science students who want hands-on experience with Python-based data analysis and manipulation
Career Switchers: People making the move into the data science field who need to have a basic understanding of the use of Python in data analysis.
Researchers and Academics: Academic professionals who want to use Python for data-related research and disseminate their findings with clear and concise visual aids.
 Requirements 
There are no formal requirements needed for this Python Data Science course. So, learners are not required to have prior qualifications to enrol in this course.
 Career path 
Python Data Science-QLS Machine Learning course is relevant and demanded in many job roles, including:
Data Analyst: £25,000 to £50,000
Data Scientist: £35,000 to £80,000
Machine Learning Engineer: £40,000 to £90,000
Business Intelligence Analyst: £30,000 to £60,000
Quantitative Analyst: £40,000 to £100,000+
Data Engineer: £40,000 to £80,000
Research Scientist (in AI/ML): £40,000 to £90,000+

Kingston Open College

Managed Learning Programme (MLP)

Data Science

NLP Practitioner

Professional Skills Course (PSC)

Data Skills

QLS Endorsed + CPD QS Accredited - Dual Certification | Instant Access | 24/7 Tutor Support | All-Inclusive Cost

Python Data Science - QLS Machine Learning

General Admission

'Good trainers inspire, educate, and empower. They don't just teach skills; they shape futures and build better professionals.'Acquiring the skills necessary to train, facilitate, and develop others effectively is why taking the UK 'Train the Trainer' course is so important for one's career. The ability to transfer knowledge and skills is a sought-after asset across industries in an increasingly competitive job market. This 'Train the Trainer' course will help you stand out as a qualified and competent trainer, offering opportunities for career growth and advancement, whether your goal is to advance in corporate training, education, or consultancy. This course is intended to give participants the abilities and information required to become proficient facilitators and trainers.The course materials are divided into several parts, each focusing on specific aspects of training and coaching. Participants in 'Train the Trainer' get an introduction to the essential ideas behind developing a secure and stimulating learning environment. They gain knowledge on how to establish rapport and credibility with their trainees, efficiently lead classroom activities, and begin their training sessions with captivating openings. To further support the learning, some workbooks include useful exercises and resources. For those looking to coach trainers themselves, the 'Train the Trainer Coach' section offers a detailed guide to coaching trainers, assisting them in maximising their skill development. 'Train the Trainer Coliseum' covers how to attract, teach, and support a significant number of participants as it dives into the nuances of training very large classes. 'Train the Trainer Recharge' addresses the health of instructors by providing methods for handling private matters, classroom dynamics, and audience participation. Lastly, strategies for managing disruptions, negativity, and inattentiveness in the classroom are offered by the 'Train the Trainer Serenity Course.'In order to become a competent and self-assured trainer capable of leading memorable and captivating training sessions, we cordially invite you to enrol in our 'Train the Trainer' course. Begin your path now to become a highly successful trainer!Why learn with us? We, as one of the leading eLearning service providers across the globe, strive to provide all our learners with the best eLearning experience possible that can make a real difference in their career progression.Our Service for the Train the Trainer Includes: <ul><li>Intensive Study Notes</li><li>Tutor Support</li><li>Customer Support</li><li>Assignment Help</li><li>QLS Endorsed Certificate</li><li>24/7 Learning Portal Access</li><li>Widely Compatible Study Materials</li></ul>Course Curriculum of the "Train the Trainer" Course:<ul><li>Train the Trainer - Part 1</li><li>Introduction and Welcome</li><li>Make Them Feel Safe Before Class</li><li>Start with an amazing opener</li><li>Build Credibility and Rapport Qui</li><li>Workbook - Train the Trainer - Part 1</li><li>Training on Facilitating Classroom Activity</li><li>Introduction and Welcome</li><li>Get Buy-In for the Activity</li><li>Find Trainees Who Need Help</li><li>Tutor Effectively During Activities</li><li>Manage the Activity Pace</li><li>Prepare to Lead an Activity</li><li>Workbook - Training on Facilitating Classroom Activity</li><li>Train the Trainer Coach: Complete Guide to Coaching Trainers</li><li>Resources - Train the Trainer Coach: Complete Guide to Coaching Trainers</li><li>Train the Trainer Coliseum: How to Train Very Large Classes</li><li>Hook A Large Class</li><li>Teach A Large Class</li><li>Support A Large Class</li><li>Workbook - Train the Trainer Coliseum: How to Train Very Large Classes</li><li>Train the Trainer Recharge: The Healthy Trainer</li><li>Welcome to Healthy Trainer</li><li>Manage Yourself</li><li>Manage Your Issues</li><li>Manage Your Classroom</li><li>Manage Your Audience</li><li>Manage Your Feedback</li><li>Resources - Train the Trainer Recharge: The Healthy Trainer</li><li>Train the Trainer Serenity Course</li><li>Welcome to Serenity</li><li>Stop Interruptions</li><li>Handle Negativity</li><li>Manage Inattention</li><li>Workbook - Train the Trainer Serenity Course</li></ul>Assessment &amp; CertificationIn order to have our professional tutor determine whether all learning outcomes have been fulfilled in accordance with the standards set by QLS, students must submit a thorough summarisation assignment for each unit. The Train the Trainer certificate will be given to the student following the quality check.Endorsed Certificate of Achievement from the Quality Licence SchemeAt the conclusion of the course, students will get an endorsed certificate as proof of their accomplishment. As long as the student completes every assessment in the course, they are eligible to receive a certificate.Endorsement:This accredited course was approved by QLS as a highly qualified, unregulated training programme and supply. A trainer will be available to address all of your inquiries, including those on how to advance into additional higher education.<h2>
 
 <div>CPD</div>
 </h2>

 <div id="cpd">
 <div>
 <div>
 <div>
 20 CPD hours / points
 </div>
 <div>
 Accredited by CPD Quality Standards
 </div>
 </div>
 </div>
 </div><h2>
 
 <div>Who is this course for?</div>
 </h2>

 <div id="who_is_this_course_for">
 Our course is open to everyone. This Train the Trainer is ideal for those who aspire to gain in-depth knowledge &amp; efficient skills to embark into the relevant sector as a promising potential.
 </div><h2>
 
 <div>Requirements</div>
 </h2>

 <div id="requirements">
 This Train the Trainer course does not have any formal prerequisites. Therefore, there are no prerequisites for students to enrol in this course.
 </div><h2>
 
 <div>Career path</div>
 </h2>

 <div id="career_path">
 Here are some of the jobs that need skills found in the "Level 7 Diploma in Train the Trainer" course:<ul><li>Training Manager: £30,000-£60,000 per year</li><li>Corporate Trainer: £25,000-£50,000 per year</li><li>Education Consultant: £30,000-£60,000 per year</li><li>Training and Development Specialist: £25,000-£45,000 per year</li><li>Training Officer: £20,000-£40,000 per year</li><li>E-Learning Developer: £25,000-£45,000 per year</li></ul>
 </div>

'Good trainers inspire, educate, and empower. They don't just teach skills; they shape futures and build better professionals.'
Acquiring the skills necessary to train, facilitate, and develop others effectively is why taking the UK 'Train the Trainer' course is so important for one's career. The ability to transfer knowledge and skills is a sought-after asset across industries in an increasingly competitive job market. This 'Train the Trainer' course will help you stand out as a qualified and competent trainer, offering opportunities for career growth and advancement, whether your goal is to advance in corporate training, education, or consultancy. This course is intended to give participants the abilities and information required to become proficient facilitators and trainers.
The course materials are divided into several parts, each focusing on specific aspects of training and coaching. Participants in 'Train the Trainer' get an introduction to the essential ideas behind developing a secure and stimulating learning environment. They gain knowledge on how to establish rapport and credibility with their trainees, efficiently lead classroom activities, and begin their training sessions with captivating openings. To further support the learning, some workbooks include useful exercises and resources. For those looking to coach trainers themselves, the 'Train the Trainer Coach' section offers a detailed guide to coaching trainers, assisting them in maximising their skill development. 'Train the Trainer Coliseum' covers how to attract, teach, and support a significant number of participants as it dives into the nuances of training very large classes. 'Train the Trainer Recharge' addresses the health of instructors by providing methods for handling private matters, classroom dynamics, and audience participation. Lastly, strategies for managing disruptions, negativity, and inattentiveness in the classroom are offered by the 'Train the Trainer Serenity Course.'
In order to become a competent and self-assured trainer capable of leading memorable and captivating training sessions, we cordially invite you to enrol in our 'Train the Trainer' course. Begin your path now to become a highly successful trainer!
Why learn with us? 
We, as one of the leading eLearning service providers across the globe, strive to provide all our learners with the best eLearning experience possible that can make a real difference in their career progression.
Our Service for the Train the Trainer Includes: 
Intensive Study Notes
Tutor Support
Customer Support
Assignment Help
QLS Endorsed Certificate
24/7 Learning Portal Access
Widely Compatible Study Materials
Course Curriculum of the "Train the Trainer" Course:
Train the Trainer - Part 1
Introduction and Welcome
Make Them Feel Safe Before Class
Start with an amazing opener
Build Credibility and Rapport Qui
Workbook - Train the Trainer - Part 1
Training on Facilitating Classroom Activity
Introduction and Welcome
Get Buy-In for the Activity
Find Trainees Who Need Help
Tutor Effectively During Activities
Manage the Activity Pace
Prepare to Lead an Activity
Workbook - Training on Facilitating Classroom Activity
Train the Trainer Coach: Complete Guide to Coaching Trainers
Resources - Train the Trainer Coach: Complete Guide to Coaching Trainers
Train the Trainer Coliseum: How to Train Very Large Classes
Hook A Large Class
Teach A Large Class
Support A Large Class
Workbook - Train the Trainer Coliseum: How to Train Very Large Classes
Train the Trainer Recharge: The Healthy Trainer
Welcome to Healthy Trainer
Manage Yourself
Manage Your Issues
Manage Your Classroom
Manage Your Audience
Manage Your Feedback
Resources - Train the Trainer Recharge: The Healthy Trainer
Train the Trainer Serenity Course
Welcome to Serenity
Stop Interruptions
Handle Negativity
Manage Inattention
Workbook - Train the Trainer Serenity Course
Assessment & Certification
In order to have our professional tutor determine whether all learning outcomes have been fulfilled in accordance with the standards set by QLS, students must submit a thorough summarisation assignment for each unit. The Train the Trainer certificate will be given to the student following the quality check.
Endorsed Certificate of Achievement from the Quality Licence Scheme
At the conclusion of the course, students will get an endorsed certificate as proof of their accomplishment. As long as the student completes every assessment in the course, they are eligible to receive a certificate.
Endorsement:
This accredited course was approved by QLS as a highly qualified, unregulated training programme and supply. A trainer will be available to address all of your inquiries, including those on how to advance into additional higher education.
 CPD 
20 CPD hours / points  Accredited by CPD Quality Standards
 Who is this course for? 
Our course is open to everyone. This Train the Trainer is ideal for those who aspire to gain in-depth knowledge & efficient skills to embark into the relevant sector as a promising potential.
 Requirements 
This Train the Trainer course does not have any formal prerequisites. Therefore, there are no prerequisites for students to enrol in this course.
 Career path 
Here are some of the jobs that need skills found in the "Level 7 Diploma in Train the Trainer" course:
Training Manager: £30,000-£60,000 per year
Corporate Trainer: £25,000-£50,000 per year
Education Consultant: £30,000-£60,000 per year
Training and Development Specialist: £25,000-£45,000 per year
Training Officer: £20,000-£40,000 per year
E-Learning Developer: £25,000-£45,000 per year

Life Coach Training

Teacher Training

Trainers Course

Train the Trainer (TTT)

Trainer

Teaching & Training

Level 7 Diploma in Train the Trainer - QLS Endorsed

Packt

Windows

Linux

Database Administration

In this comprehensive course, we will guide you through the world of Oracle Database Administration, starting from the basics and equipping you with the skills to create databases, manage storage, implement backup plans, apply patches, troubleshoot issues, and excel in the role of a professional DBA.

Oracle Database Administration from Zero to Hero

Turn your skills into a competitive advantage that is recognised globally and endorsed for quality by QLS, the UK's most reputable high-quality course auditor.The goal of this KS1 and KS2 Teaching Assistant training is to strengthen your skills, passion, and dedication to delivering an exceptional intervention that will demonstrate and share best practices in increasing kid development and attainment, and you will be able to give critical assistance to youngsters and instructors. The KS1 and KS2 Teaching Assistant course teaches students how to set up equipment and help prepare the classroom for lessons, as well as how to clean up afterward and assist with displays. You will be able to care for children's pastoral needs, such as dealing with playground mishaps and comforting distressed youngsters.This premium QLS endorsed KS1 and KS2 Teaching Assistant course comes with intensive study modules, dedicated tutor assistance, customer support, flexible learning opportunity and a globally recognised certification all-together. Thus, successful completion of our KS1 and KS2 Teaching Assistant course will give you limitless opportunities anywhere and everywhere, since the value of QLS endorsed courses are quite high, to say the least!!What's more, the quality of our first-class course is uncompromising for both you and us. You will be taught the richest of materials from this exquisite KS1 and KS2 Teaching Assistant course, enabling you to open up a vast world of opportunities for you to grasp and gain success from. For the price point, this course is actually an absolute steal! It's an investment you absolutely do not want to miss out on!So, why delay any longer? Benefit your career progression by joining us today and distinguish yourself as, unquestionably, the most skilled one in your workplace!Why Learn with us: We, as one of the leading eLearning service providers across the globe, strive to provide all our learners with the best eLearning experience possible that can make a real difference in their career progression.Our Service for the KS1 and KS2 Teaching Assistant Includes:<ul><li>Intensive Study Notes</li><li>Tutor Support</li><li>Customer Support</li><li>Assignment Help</li><li>QLS Endorsed Certificate</li><li>24/7 Learning Portal Access</li><li>Widely Compatible Study Materials</li></ul>Course Curriculum of KS1 and KS2 Teaching Assistant**Early Years Teaching**<ul><li>Module 01: Introduction to EYFS</li><li>Module 02: Importance of Early Years in Development</li><li>Module 03: EYFS Teaching Techniques</li><li>Module 04: Working as an EYFS Teacher</li><li>Module 05: Promoting Learning and Development</li><li>Module 06: Children Having Special Education Needs or Disabilities</li><li>Module 07: Parents' Guide to the Early Years Foundation Stage</li><li>Module 08: Welfare Requirements</li><li>Module 09: The EYFS Educational Philosophies and Privileges</li><li>Module 10: Registration, Inspection, and Quality Improvement</li><li>Module 11: EYFS Framework in 2021</li></ul>**KS1 and KS2 Teaching Assistant**<ul><li>Module 01: Primary Education in the UK</li><li>Module 02: Responsibilities, Qualifications and Skills</li><li>Module 03: Children with Special Educational Needs</li><li>Module 04: National Curriculum in England</li><li>Module 05: Types of Schools in the UK</li><li>Module 06: Child Development</li><li>Module 07: Moving to Key Stage 1 from EYFS</li><li>Module 08: Starting at Key Stage 1</li><li>Module 09: English Requirements at Key Stage 1</li><li>Module 10: English Requirements at Key Stage 2</li><li>Module 11: English Teaching Strategies</li><li>Module 12: Mathematics for Key Stage 1</li><li>Module 13: Mathematics for Lower Key Stage 2</li><li>Module 14: Mathematics for Upper Key Stage 2</li><li>Module 15: Teaching Strategies for Mathematics</li><li>Module 16: Science for Key Stage 1</li><li>Module 17: Science for Key Stage 2</li><li>Module 18: Science Teaching Strategies</li><li>Module 19: Geography and History Study Program</li><li>Module 20: Geography and History Teaching Strategies</li><li>Module 21: Other Primary Subjects for Key Stage 1</li><li>Module 22: Other Primary Subjects for Key Stage 2</li></ul>Assessment &amp; CertificationLearners must submit a comprehensive summerised assignment on all the units that will be assessed by our expert tutor if all the learning outcomes are met as per the standard set by QLS. After the quality check, learner will be provided with the KS1 and KS2 Teaching Assistant certificate.Endorsed Certificate of Achievement from the Quality Licence SchemeAn endorsed certificate will be issued to learners at the end of the course as recognition of course completion. Provided that learner completes all the assessment of a course can claim for certificate.Endorsement:QLS endorsed this certified course as a highly qualified, non-regulated provision and training programme. There will be a trainer to answer all your questions including your progression routes into further higher education.<h2>
 
 <div>CPD</div>
 </h2>

 <div id="cpd">
 <div>
 <div>
 <div>
 15 CPD hours / points
 </div>
 <div>
 Accredited by CPD Quality Standards
 </div>
 </div>
 </div>
 </div><h2>
 
 <div>Who is this course for?</div>
 </h2>

 <div id="who_is_this_course_for">
 Our course is open for everyone. This KS1 and KS2 Teaching Assistant is ideal for those who aspire to gain in-depth knowledge &amp; efficient skill to embark into the relevant sector as a promising potential.
 </div><h2>
 
 <div>Requirements</div>
 </h2>

 <div id="requirements">
 There are no formal requirements needed for this KS1 and KS2 Teaching Assistant course. So learners do not require any prior qualifications to enrol in this course.
 </div>

Turn your skills into a competitive advantage that is recognised globally and endorsed for quality by QLS, the UK's most reputable high-quality course auditor.
The goal of this KS1 and KS2 Teaching Assistant training is to strengthen your skills, passion, and dedication to delivering an exceptional intervention that will demonstrate and share best practices in increasing kid development and attainment, and you will be able to give critical assistance to youngsters and instructors. The KS1 and KS2 Teaching Assistant course teaches students how to set up equipment and help prepare the classroom for lessons, as well as how to clean up afterward and assist with displays. You will be able to care for children's pastoral needs, such as dealing with playground mishaps and comforting distressed youngsters.
This premium QLS endorsed KS1 and KS2 Teaching Assistant course comes with intensive study modules, dedicated tutor assistance, customer support, flexible learning opportunity and a globally recognised certification all-together. Thus, successful completion of our KS1 and KS2 Teaching Assistant course will give you limitless opportunities anywhere and everywhere, since the value of QLS endorsed courses are quite high, to say the least!!
What's more, the quality of our first-class course is uncompromising for both you and us. You will be taught the richest of materials from this exquisite KS1 and KS2 Teaching Assistant course, enabling you to open up a vast world of opportunities for you to grasp and gain success from. For the price point, this course is actually an absolute steal! It's an investment you absolutely do not want to miss out on!
So, why delay any longer? Benefit your career progression by joining us today and distinguish yourself as, unquestionably, the most skilled one in your workplace!
Why Learn with us: 
We, as one of the leading eLearning service providers across the globe, strive to provide all our learners with the best eLearning experience possible that can make a real difference in their career progression.
Our Service for the KS1 and KS2 Teaching Assistant Includes:
Intensive Study Notes
Tutor Support
Customer Support
Assignment Help
QLS Endorsed Certificate
24/7 Learning Portal Access
Widely Compatible Study Materials
Course Curriculum of KS1 and KS2 Teaching Assistant
**Early Years Teaching**
Module 01: Introduction to EYFS
Module 02: Importance of Early Years in Development
Module 03: EYFS Teaching Techniques
Module 04: Working as an EYFS Teacher
Module 05: Promoting Learning and Development
Module 06: Children Having Special Education Needs or Disabilities
Module 07: Parents' Guide to the Early Years Foundation Stage
Module 08: Welfare Requirements
Module 09: The EYFS Educational Philosophies and Privileges
Module 10: Registration, Inspection, and Quality Improvement
Module 11: EYFS Framework in 2021
**KS1 and KS2 Teaching Assistant**
Module 01: Primary Education in the UK
Module 02: Responsibilities, Qualifications and Skills
Module 03: Children with Special Educational Needs
Module 04: National Curriculum in England
Module 05: Types of Schools in the UK
Module 06: Child Development
Module 07: Moving to Key Stage 1 from EYFS
Module 08: Starting at Key Stage 1
Module 09: English Requirements at Key Stage 1
Module 10: English Requirements at Key Stage 2
Module 11: English Teaching Strategies
Module 12: Mathematics for Key Stage 1
Module 13: Mathematics for Lower Key Stage 2
Module 14: Mathematics for Upper Key Stage 2
Module 15: Teaching Strategies for Mathematics
Module 16: Science for Key Stage 1
Module 17: Science for Key Stage 2
Module 18: Science Teaching Strategies
Module 19: Geography and History Study Program
Module 20: Geography and History Teaching Strategies
Module 21: Other Primary Subjects for Key Stage 1
Module 22: Other Primary Subjects for Key Stage 2
Assessment & Certification
Learners must submit a comprehensive summerised assignment on all the units that will be assessed by our expert tutor if all the learning outcomes are met as per the standard set by QLS. After the quality check, learner will be provided with the KS1 and KS2 Teaching Assistant certificate.
Endorsed Certificate of Achievement from the Quality Licence Scheme
An endorsed certificate will be issued to learners at the end of the course as recognition of course completion. Provided that learner completes all the assessment of a course can claim for certificate.
Endorsement:
QLS endorsed this certified course as a highly qualified, non-regulated provision and training programme. There will be a trainer to answer all your questions including your progression routes into further higher education.
 CPD 
15 CPD hours / points  Accredited by CPD Quality Standards
 Who is this course for? 
Our course is open for everyone. This KS1 and KS2 Teaching Assistant is ideal for those who aspire to gain in-depth knowledge & efficient skill to embark into the relevant sector as a promising potential.
 Requirements 
There are no formal requirements needed for this KS1 and KS2 Teaching Assistant course. So learners do not require any prior qualifications to enrol in this course.

Learning Support Assistant (LSA)

Secondary Teaching

Primary Teaching

Initial Teacher

Further Education Teacher

Higher Level Teaching Assistant (HLTA)

Level 7 Diploma in KS1 and KS2 Teaching Assistant - QLS Endorsed

In the UK, pursuing a Security Management Diploma programme offers a wealth of opportunities for career advancement in the security management field, as well as worldwide recognition and top-notch instruction. It gives pupils the abilities and information required to prosper in a society where people are becoming more aware of security. In the security management diploma programme, students can anticipate receiving top-notch instruction and training. Students who complete our Security Management Diploma programme, which is approved by QLS, will have a thorough understanding of security management in both digital and physical contexts. The way the course curriculum is structured makes it very learner-friendly. The first part of the course provides an overview of security management, setting the stage for the remaining lessons. After that, it concentrates on organisational security management, stressing the importance of risk analysis and mitigation to successfully safeguard an organisation's assets. To provide students with the necessary tools to secure both digital and physical assets, the following lessons cover the critical elements of maintaining information security as well as physical security. Students learn about business resilience and crisis management, two crucial competencies for maintaining an organisation's viability in trying times. Together with these crucial topics, the programme emphasises the growing threats that businesses face from the digital world by covering cybersecurity and fraud prevention. The final section of the course completes the curriculum by emphasising threat awareness, security investigations, and the legal framework that governs security management. This diploma programme will teach you how to effectively manage security in a constantly changing and dynamic security environment. So, obtain access right away to see it for yourself!Learning Outcomes:Students who successfully complete the Security Management Diploma programme will be equipped to assume leadership positions in security management in a variety of industries. They will:<ul><li>Excel in written and verbal communication, effectively conveying ideas to diverse audiences Possess a strong grasp of the subject's key concepts and theories</li><li>Be adept at critical thinking and problem-solving, applying these skills to address complex issues</li><li>Be able to apply their knowledge and skills in real-world scenarios</li><li>Adhere to ethical standards and professional conduct in their field</li><li>Completers of the programme will embrace continuous learning and adapt to evolving challenges and technologies.</li></ul>Why learn with us? We, as one of the leading e-learning service providers across the globe, strive to provide all our learners with the best e-learning experience possible that can make a real difference in their career progression.Our service for the Security Management Diploma includes:<ul><li>Intensive Study Notes</li><li>Tutor Support</li><li>Customer Support</li><li>Assignment Help</li><li>QLS-endorsed certificate</li><li>24/7 Learning Portal Access</li><li>Widely Compatible Study Materials</li></ul> Course Curriculum of Security Management Diploma<ul><li>Module 01: Introduction to Security Management</li><li>Module 02: Organisational Security Management</li><li>Module 03: Security Risk Analysis and Risk Reduction</li><li>Module 04: Physical and Information Security Protection</li><li>Module 05: Business Resilience and Crisis Management</li><li>Module 06: Cyber Security and Fraud Prevention</li><li>Module 07: Security Investigations and Threat Awareness</li><li>Module 08: Laws and Regulations</li></ul>Assessment &amp; CertificationLearners must submit a comprehensively summarised assignment on all the units that will be assessed by our expert tutor if all the learning outcomes are met as per the standard set by QLS. After the quality check, learner will be provided with the Security Management Diploma certificate.Endorsed Certificate of Achievement from the Quality Licence SchemeAn endorsed certificate will be issued to learners at the end of the Security Management course as recognition of course completion. Provided that the learner completes all the assessments of a course, they can claim a certificate.Endorsement:QLS endorsed this certified Security Management course as a highly qualified, non-regulated provision and training programme. There will be a trainer to answer all your questions, including your progression routes into further higher education.<h2>
 
 <div>CPD</div>
 </h2>

 <div id="cpd">
 <div>
 <div>
 <div>
 10 CPD hours / points
 </div>
 <div>
 Accredited by CPD Quality Standards
 </div>
 </div>
 </div>
 </div><h2>
 
 <div>Who is this course for?</div>
 </h2>

 <div id="who_is_this_course_for">
 The Security Management Diploma course is designed for individuals who are interested in or currently working in roles related to security management, risk assessment, and protection of assets in various industries. It is suitable for:Aspiring Security Managers: Individuals who aspire to work in security management and want to have a solid foundation of expertiseCurrent Security Professionals: Security professionals who want to grow in their professions and increase their level of security management skillsBusiness Owners and Managers: Managers and entrepreneurs in charge of defending the resources and interests of their companiesCompliance and Legal Professionals: Those working in legal and compliance positions who want to learn about security laws and how they affect businessesIT and Cybersecurity Professionals: people who work in IT and cybersecurity and are interested in learning more about risk assessment and physical security.Risk Analysts and Consultants: Risk analysts and consultants want to improve their security management abilities
 </div><h2>
 
 <div>Requirements</div>
 </h2>

 <div id="requirements">
 There are no formal requirements needed for this Security Management Diploma course. So learners do not require any prior qualifications to enrol in this course.
 </div><h2>
 
 <div>Career path</div>
 </h2>

 <div id="career_path">
 Security Management Diploma course is related to a wide range of opportunities in the industry. Some popular job roles are as following:<ul><li>Security Supervisor/Team Leader. Salary: £25,000-£35,000.</li><li>Security Manager. Salary: £30,000-£60,000</li><li>Information Security Manager. Salary: £40,000-£80,000</li><li>Corporate Security Director. Salary: £60,000 - £100,000</li><li>Lead Security Consultant. Salary: £90,000-£110,000</li></ul>
 </div>

In the UK, pursuing a Security Management Diploma programme offers a wealth of opportunities for career advancement in the security management field, as well as worldwide recognition and top-notch instruction. It gives pupils the abilities and information required to prosper in a society where people are becoming more aware of security. In the security management diploma programme, students can anticipate receiving top-notch instruction and training.
Students who complete our Security Management Diploma programme, which is approved by QLS, will have a thorough understanding of security management in both digital and physical contexts. The way the course curriculum is structured makes it very learner-friendly. The first part of the course provides an overview of security management, setting the stage for the remaining lessons. After that, it concentrates on organisational security management, stressing the importance of risk analysis and mitigation to successfully safeguard an organisation's assets. To provide students with the necessary tools to secure both digital and physical assets, the following lessons cover the critical elements of maintaining information security as well as physical security. Students learn about business resilience and crisis management, two crucial competencies for maintaining an organisation's viability in trying times. Together with these crucial topics, the programme emphasises the growing threats that businesses face from the digital world by covering cybersecurity and fraud prevention. The final section of the course completes the curriculum by emphasising threat awareness, security investigations, and the legal framework that governs security management. This diploma programme will teach you how to effectively manage security in a constantly changing and dynamic security environment. So, obtain access right away to see it for yourself!
Learning Outcomes:
Students who successfully complete the Security Management Diploma programme will be equipped to assume leadership positions in security management in a variety of industries. They will:
Excel in written and verbal communication, effectively conveying ideas to diverse audiences
Possess a strong grasp of the subject's key concepts and theories
Be adept at critical thinking and problem-solving, applying these skills to address complex issues
Be able to apply their knowledge and skills in real-world scenarios
Adhere to ethical standards and professional conduct in their field
Completers of the programme will embrace continuous learning and adapt to evolving challenges and technologies.
Why learn with us? 
We, as one of the leading e-learning service providers across the globe, strive to provide all our learners with the best e-learning experience possible that can make a real difference in their career progression.
Our service for the Security Management Diploma includes:
Intensive Study Notes
Tutor Support
Customer Support
Assignment Help
QLS-endorsed certificate
24/7 Learning Portal Access
Widely Compatible Study Materials
 Course Curriculum of Security Management Diploma
Module 01: Introduction to Security Management
Module 02: Organisational Security Management
Module 03: Security Risk Analysis and Risk Reduction
Module 04: Physical and Information Security Protection
Module 05: Business Resilience and Crisis Management
Module 06: Cyber Security and Fraud Prevention
Module 07: Security Investigations and Threat Awareness
Module 08: Laws and Regulations
Assessment & Certification
Learners must submit a comprehensively summarised assignment on all the units that will be assessed by our expert tutor if all the learning outcomes are met as per the standard set by QLS. After the quality check, learner will be provided with the Security Management Diploma certificate.
Endorsed Certificate of Achievement from the Quality Licence Scheme
An endorsed certificate will be issued to learners at the end of the Security Management course as recognition of course completion. Provided that the learner completes all the assessments of a course, they can claim a certificate.
Endorsement:
QLS endorsed this certified Security Management course as a highly qualified, non-regulated provision and training programme. There will be a trainer to answer all your questions, including your progression routes into further higher education.
 CPD 
10 CPD hours / points  Accredited by CPD Quality Standards
 Who is this course for? 
The Security Management Diploma course is designed for individuals who are interested in or currently working in roles related to security management, risk assessment, and protection of assets in various industries. It is suitable for:
Aspiring Security Managers: Individuals who aspire to work in security management and want to have a solid foundation of expertise
Current Security Professionals: Security professionals who want to grow in their professions and increase their level of security management skills
Business Owners and Managers: Managers and entrepreneurs in charge of defending the resources and interests of their companies
Compliance and Legal Professionals: Those working in legal and compliance positions who want to learn about security laws and how they affect businesses
IT and Cybersecurity Professionals: people who work in IT and cybersecurity and are interested in learning more about risk assessment and physical security.
Risk Analysts and Consultants: Risk analysts and consultants want to improve their security management abilities
 Requirements 
There are no formal requirements needed for this Security Management Diploma course. So learners do not require any prior qualifications to enrol in this course.
 Career path 
Security Management Diploma course is related to a wide range of opportunities in the industry. Some popular job roles are as following:
Security Supervisor/Team Leader. Salary: £25,000-£35,000.
Security Manager. Salary: £30,000-£60,000
Information Security Manager. Salary: £40,000-£80,000
Corporate Security Director. Salary: £60,000 - £100,000
Lead Security Consultant. Salary: £90,000-£110,000

Certificate in Information Security Management Principles (CISMP)

Diploma for School Business Leaders (DSBM)

Diploma in Management Studies (DMS)

Diploma in Professional Studies (DPS)

Institute of Leadership & Management (ILM)

Level 5 Diploma in Security Management  - QLS Endorsed

The 'A Beginner Crash Course on ChatGPT' is a comprehensive introduction to effectively harnessing the potential of the ChatGPT language model. This course caters to individuals new to ChatGPT and AI text generation, offering a structured learning experience that encompasses fundamental concepts, practical techniques, and ethical considerations.Throughout the course's well-structured modules, participants will progressively learn the core mechanics of ChatGPT, from understanding its distinctive capabilities in the AI landscape to delving into the basics of text generation. The curriculum navigates participants through crafting prompts that steer the model's responses, maintaining coherent conversational dynamics, and controlling response quality using settings like temperature and tokens.Teaching and training are more than just a job for the staff, we take pride in employing those who share our vision for e-learning and its importance in today's society. To prove this, all learning materials for each course are available for at least one year after the initial purchase.All of our tutors and IT help desk personnel are available to answer any questions regarding your training or any technical difficulties.By the course's end, participants will be well-versed in utilising ChatGPT effectively, capitalising on its capabilities while being conscious of its limitations. They'll emerge equipped with a toolkit for generating purposeful content, armed with a certificate and resources for continued growth in the ever-evolving realm of AI and natural language processing.Please be aware that there are no hidden fees, no sudden exam charges, and no other kind of unexpected payments. All costs will be made very clear before you even attempt to sign up.Learning Outcome<ul><li>Develop a solid grasp of ChatGPT's underlying mechanisms and its role in AI-driven text generation</li><li>Navigate conversational dynamics adeptly, creating coherent and contextually aware interactions</li><li>Maintain conversational context over multiple interactions, enhancing user experience</li><li>Skilfully manage the balance between creativity and accuracy using temperature and token settings</li><li>Apply learned techniques to real-world scenarios, from content drafting to idea generation and problem-solving</li><li>Understand and manage the limitations of ChatGPT to make informed decisions while using the model effectively</li></ul>Key features<ul><li>E-learning and E-assessment system with flexibility</li><li>Learners get interactive resources</li><li>Expert advice from qualified professional</li><li>Globally recognised certificate</li><li>14 days refund guarantee</li><li>24/7 Tutor Support</li></ul>Why Study This Course? It doesn't matter if you are an aspiring professional or an absolute beginner; this course will enhance your expertise and boost your CV with critical skills and an accredited certification attesting to your knowledge.A Beginner Crash Course on ChatGPT is fully available to anyone, and no previous qualifications are needed to enrol.Course Curriculum <ul><li>Sign up for an OpenAI Account</li><li>Sign up for an OpenAI Account</li></ul> What can ChatGPT do for you?<ul><li>Using ChatGPT for language translation</li><li>Using ChatGPT for Asking Questions</li><li>Code generation and code debugging with ChatGPT</li><li>Creating social media posts with ChatGPT</li><li>Blogging Articles and Editing</li><li>Using ChatGPT for Letters and Resumes</li></ul> ChatGPT for Business<ul><li>Generating Business Ideas</li><li>Do marketing Research</li><li>Generate Marketing Ideas</li><li>Provide an agreement for writing service</li></ul> ChatGPT for Teaching<ul><li>ChatGPT for Teaching (Accounting)</li><li>Solve a Math Question</li><li>Create Short StoryRole Play</li><li>Write article</li><li>rite a speech Write a Conversation</li></ul> ChatGPT for Research<ul><li>Suggest Research Ideas and TopicsFind creative titles for your article</li><li>Create an outline or structure for yur paper#Summarisation of Paper</li><li>Keyword Extraction</li><li>Plagiarism detection? (actually, not)</li></ul> Limitations of ChatGPT<ul><li>Limitations of ChatGPT part - 01</li><li>Limitations of ChatGPT part - 02</li><li>Will ChatGPT generate junk information to flood internet</li></ul> Additional Videos<ul><li>Limitations of ChatGPT-Map function not included</li><li>List Outline for your book</li><li>My first Chat with ChatGPT, I love it!</li><li>Shorten or Summarize an article</li><li>Suggest a title for your Online publishing</li><li>Use ChatGPT as a dictionary</li><li>Using ChatGPT as Your Personal Secretary</li><li>Using ChatGPT for Buzz Word Explanation</li><li>Using ChatGPT for Word Definition</li></ul>Why Should I Take This Course? Learn at your own speed with affordable, high-quality E-learning content. When you finish the course, you will be given a certificate of completion. Enhance your resume from a globally recognised Accredited Qualification. You'll discover how effective salespeople use a researched and proven technique to boost their careers. You'll be able to successfully implement several practical sales strategies and have a deeper understanding of your consumers.Assessment &amp; Certification Learners must submit a comprehensive summarised assignment on all the units that will be assessed by our expert tutor if all the learning outcomes are met as per the standard set by QLS. After the quality check, learner will be provided with the A Beginner Crash Course on ChatGPT certificate.Endorsed Certificate of Achievement from the Quality Licence Scheme An endorsed certificate will be issued to learners at the end of the course as recognition of course completion. Provided that learner completes all the assessment of a course can claim for certificate.Endorsement QLS endorsed this certified course as a highly qualified, non-regulated provision and training programme. There will be a trainer to answer all your questions, including your progression routes into further higher education. It is a non-accredited course.<h2>
 
 <div>Who is this course for?</div>
 </h2>

 <div id="who_is_this_course_for">
 Who is this course for? Our course is open for everyone. This Beginner Crash Course on ChatGPT is ideal for those who aspire to gain in-depth knowledge &amp; efficient skill to embark into the relevant sector as a promising potential.
 </div><h2>
 
 <div>Requirements</div>
 </h2>

 <div id="requirements">
 There are no formal requirements needed for this Beginner Crash Course on ChatGPT course. So learners do not require any prior qualifications to enrol in this course.
 </div>

The 'A Beginner Crash Course on ChatGPT' is a comprehensive introduction to effectively harnessing the potential of the ChatGPT language model. This course caters to individuals new to ChatGPT and AI text generation, offering a structured learning experience that encompasses fundamental concepts, practical techniques, and ethical considerations.
Throughout the course's well-structured modules, participants will progressively learn the core mechanics of ChatGPT, from understanding its distinctive capabilities in the AI landscape to delving into the basics of text generation. The curriculum navigates participants through crafting prompts that steer the model's responses, maintaining coherent conversational dynamics, and controlling response quality using settings like temperature and tokens.
Teaching and training are more than just a job for the staff, we take pride in employing those who share our vision for e-learning and its importance in today's society. To prove this, all learning materials for each course are available for at least one year after the initial purchase.
All of our tutors and IT help desk personnel are available to answer any questions regarding your training or any technical difficulties.
By the course's end, participants will be well-versed in utilising ChatGPT effectively, capitalising on its capabilities while being conscious of its limitations. They'll emerge equipped with a toolkit for generating purposeful content, armed with a certificate and resources for continued growth in the ever-evolving realm of AI and natural language processing.
Please be aware that there are no hidden fees, no sudden exam charges, and no other kind of unexpected payments. All costs will be made very clear before you even attempt to sign up.
Learning Outcome
Develop a solid grasp of ChatGPT's underlying mechanisms and its role in AI-driven text generation
Navigate conversational dynamics adeptly, creating coherent and contextually aware interactions
Maintain conversational context over multiple interactions, enhancing user experience
Skilfully manage the balance between creativity and accuracy using temperature and token settings
Apply learned techniques to real-world scenarios, from content drafting to idea generation and problem-solving
Understand and manage the limitations of ChatGPT to make informed decisions while using the model effectively
Key features
E-learning and E-assessment system with flexibility
Learners get interactive resources
Expert advice from qualified professional
Globally recognised certificate
14 days refund guarantee
24/7 Tutor Support
Why Study This Course?
It doesn't matter if you are an aspiring professional or an absolute beginner; this course will enhance your expertise and boost your CV with critical skills and an accredited certification attesting to your knowledge.
A Beginner Crash Course on ChatGPT is fully available to anyone, and no previous qualifications are needed to enrol.
Course Curriculum

Sign up for an OpenAI Account
Sign up for an OpenAI Account

What can ChatGPT do for you?
Using ChatGPT for language translation
Using ChatGPT for Asking Questions
Code generation and code debugging with ChatGPT
Creating social media posts with ChatGPT
Blogging Articles and Editing
Using ChatGPT for Letters and Resumes

ChatGPT for Business
Generating Business Ideas
Do marketing Research
Generate Marketing Ideas
Provide an agreement for writing service

ChatGPT for Teaching
ChatGPT for Teaching (Accounting)
Solve a Math Question
Create Short StoryRole Play
Write article
rite a speech
Write a Conversation

ChatGPT for Research
Suggest Research Ideas and TopicsFind creative titles for your article
Create an outline or structure for yur paper#Summarisation of Paper
Keyword Extraction
Plagiarism detection? (actually, not)

Limitations of ChatGPT
Limitations of ChatGPT part - 01
Limitations of ChatGPT part - 02
Will ChatGPT generate junk information to flood internet

Additional Videos
Limitations of ChatGPT-Map function not included
List Outline for your book
My first Chat with ChatGPT, I love it!
Shorten or Summarize an article
Suggest a title for your Online publishing
Use ChatGPT as a dictionary
Using ChatGPT as Your Personal Secretary
Using ChatGPT for Buzz Word Explanation
Using ChatGPT for Word Definition
Why Should I Take This Course?
Learn at your own speed with affordable, high-quality E-learning content. 
When you finish the course, you will be given a certificate of completion.
Enhance your resume from a globally recognised Accredited Qualification.
You'll discover how effective salespeople use a researched and proven technique to boost their careers.
You'll be able to successfully implement several practical sales strategies and have a deeper understanding of your consumers.
Assessment & Certification
Learners must submit a comprehensive summarised assignment on all the units that will be assessed by our expert tutor if all the learning outcomes are met as per the standard set by QLS. After the quality check, learner will be provided with the A Beginner Crash Course on ChatGPT certificate.
Endorsed Certificate of Achievement from the Quality Licence Scheme
An endorsed certificate will be issued to learners at the end of the course as recognition of course completion. Provided that learner completes all the assessment of a course can claim for certificate.
Endorsement
QLS endorsed this certified course as a highly qualified, non-regulated provision and training programme. There will be a trainer to answer all your questions, including your progression routes into further higher education. It is a non-accredited course.
 Who is this course for? 
Who is this course for?
Our course is open for everyone. This Beginner Crash Course on ChatGPT is ideal for those who aspire to gain in-depth knowledge & efficient skill to embark into the relevant sector as a promising potential.
 Requirements 

There are no formal requirements needed for this Beginner Crash Course on ChatGPT course. So learners do not require any prior qualifications to enrol in this course.

Online Course Marketing

Online Course Creation

Generative AI

QLS endorsed Qualification | Fully Online Course | Tutor Support | Well Planed Study Materials

ChatGPT_ A Beginner Crash Course on ChatGPT

Testing

Product Management

JIRA

ChatGPT

Trello

Unlock the full potential of product management with our comprehensive course. Dive deep into product management fundamentals, Agile methodologies, and gain hands-on experience with essential project management tools, including Trello, Jira, Microsoft Teams, Planner, and ChatGPT. Elevate your career and drive success in the digital age.

The Complete Product Management Fundamentals

The EYFS and Key Stage 1 and 2 Teaching Assistant courses prepare you for work in a child care centre, as a teaching assistant, or as a home child care provider. You'll study childcare-related English and arithmetic, as well as how to create art and language programs. You will investigate the notion of child development, including communication, play, developmental stages, first aid, and health and safety, and you will gain skills to deal with children through placement settings.This premium QLS endorsed EYFS and Key Stage 1 &amp; 2 Teaching Assistant course comes with intensive study modules, dedicated tutor assistance, customer support, flexible learning opportunity and a globally recognised certification all-together. Thus, successful completion of our EYFS and Key Stage 1 &amp; 2 Teaching Assistant course will give you limitless opportunities anywhere and everywhere, since the value of QLS endorsed courses are quite high, to say the least!!What's more, the quality of our first-class course is uncompromising for both you and us. You will be taught the richest of materials from this exquisite EYFS and Key Stage 1 &amp; 2 Teaching Assistant course, enabling you to open up a vast world of opportunities for you to grasp and gain success from. For the price point, this course is actually an absolute steal! It's an investment you absolutely do not want to miss out on!So, why delay any longer? Benefit your career progression by joining us today and distinguish yourself as, unquestionably, the most skilled one in your workplace!Learning Outcomes: After successful completion of this course, you arer expected to:<ul><li>Apply effective EYFS teaching techniques.</li><li>Support children with special educational needs.</li><li>Navigate the National Curriculum in England.</li><li>Demonstrate key skills for Key Stages 1 &amp; 2</li><li>Understand English and mathematics requirements</li><li>Implement teaching strategies for primary subjects</li></ul>Why Learn with us: We, as one of the leading e-learning service providers across the globe, strive to provide all our learners with the best e-learning experience possible that can make a real difference in their career progression.Our Service for the EYFS and Key Stage 1 &amp; 2 Teaching Assistant Includes:<ul><li>Intensive Study Notes</li><li>Tutor Support</li><li>Customer Support</li><li>Assignment Help</li><li>QLS Endorsed Certificate</li><li>24/7 Learning Portal Access</li><li>Widely Compatible Study Materials</li></ul>Course Curriculum of EYFS and Key Stage 1 &amp; 2 Teaching Assistant**Early Years Teaching**<ul><li>Module 01: Introduction to EYFS</li><li>Module 02: Importance of Early Years in Development</li><li>Module 03: EYFS Teaching Techniques</li><li>Module 04: Working as an EYFS Teacher</li><li>Module 05: Promoting Learning and Development</li><li>Module 06: Children Having Special Education Needs or Disabilities</li><li>Module 07: Parents' Guide to the Early Years Foundation Stage</li><li>Module 08: Welfare Requirements</li><li>Module 09: The EYFS Educational Philosophies and Privileges</li><li>Module 10: Registration, Inspection, and Quality Improvement</li><li>Module 11: EYFS Framework in 2021</li></ul>**KS1 and KS2 Teaching Assistant**<ul><li>Module 01: Primary Education in the UK</li><li>Module 02: Responsibilities, Qualifications and Skills</li><li>Module 03: Children with Special Educational Needs</li><li>Module 04: National Curriculum in England</li><li>Module 05: Types of Schools in the UK</li><li>Module 06: Child Development</li><li>Module 07: Moving to Key Stage 1 from EYFS</li><li>Module 08: Starting at Key Stage 1</li><li>Module 09: English Requirements at Key Stage 1</li><li>Module 10: English Requirements at Key Stage 2</li><li>Module 11: English Teaching Strategies</li><li>Module 12: Mathematics for Key Stage 1</li><li>Module 13: Mathematics for Lower Key Stage 2</li><li>Module 14: Mathematics for Upper Key Stage 2</li><li>Module 15: Teaching Strategies for Mathematics</li><li>Module 16: Science for Key Stage 1</li><li>Module 17: Science for Key Stage 2</li><li>Module 18: Science Teaching Strategies</li><li>Module 19: Geography and History Study Program</li><li>Module 20: Geography and History Teaching Strategies</li><li>Module 21: Other Primary Subjects for Key Stage 1</li><li>Module 22: Other Primary Subjects for Key Stage 2</li></ul>Assessment &amp; CertificationLearners must submit a comprehensive summarised assignment on all the units that will be assessed by our expert tutor if all the learning outcomes are met as per the standard set by QLS. After the quality check, learner will be provided with the EYFS and Key Stage 1 &amp; 2 Teaching Assistant certificates.Endorsed Certificate of Achievement from the Quality Licence SchemeAn endorsed certificate will be issued to learners at the end of the course as recognition of course completion. Provided that learner completes all the assessment of a course can claim for certificate.Endorsement:QLS endorsed this certified course as a highly qualified, non-regulated provision and training programme. There will be a trainer to answer all your questions, including your progression routes into further higher education.<h2>
 
 <div>CPD</div>
 </h2>

 <div id="cpd">
 <div>
 <div>
 <div>
 15 CPD hours / points
 </div>
 <div>
 Accredited by CPD Quality Standards
 </div>
 </div>
 </div>
 </div><h2>
 
 <div>Who is this course for?</div>
 </h2>

 <div id="who_is_this_course_for">
 Our course is open for everyone. This EYFS and Key Stage 1 &amp; 2 Teaching Assistant is ideal for those who aspire to gain in-depth knowledge &amp; efficient skill to embark into the relevant sector as a promising potential.
 </div><h2>
 
 <div>Requirements</div>
 </h2>

 <div id="requirements">
 There are no formal requirements needed for this EYFS and Key Stage 1 &amp; 2 Teaching Assistant course. So learners do not require any prior qualifications to enrol in this course.
 </div><h2>
 
 <div>Career path</div>
 </h2>

 <div id="career_path">
 Level 7 Diploma in EYFS and Key Stage 1 &amp; 2 Teaching Assistant course is beneficial following job roles:<ul><li>Teaching Assistant: £18,000 - £21,600</li><li>Special Education Teaching Assistant: £18,000 - £30,000</li><li>Learning Support Assistant: £16,000 - £25,000</li><li>Primary School Mentor: £20,000 - £30,000</li><li>Education Consultant: £30,000 - £50,000</li></ul>
 </div>

The EYFS and Key Stage 1 and 2 Teaching Assistant courses prepare you for work in a child care centre, as a teaching assistant, or as a home child care provider. You'll study childcare-related English and arithmetic, as well as how to create art and language programs. You will investigate the notion of child development, including communication, play, developmental stages, first aid, and health and safety, and you will gain skills to deal with children through placement settings.
This premium QLS endorsed EYFS and Key Stage 1 & 2 Teaching Assistant course comes with intensive study modules, dedicated tutor assistance, customer support, flexible learning opportunity and a globally recognised certification all-together. Thus, successful completion of our EYFS and Key Stage 1 & 2 Teaching Assistant course will give you limitless opportunities anywhere and everywhere, since the value of QLS endorsed courses are quite high, to say the least!!
What's more, the quality of our first-class course is uncompromising for both you and us. You will be taught the richest of materials from this exquisite EYFS and Key Stage 1 & 2 Teaching Assistant course, enabling you to open up a vast world of opportunities for you to grasp and gain success from. For the price point, this course is actually an absolute steal! It's an investment you absolutely do not want to miss out on!
So, why delay any longer? Benefit your career progression by joining us today and distinguish yourself as, unquestionably, the most skilled one in your workplace!
Learning Outcomes: After successful completion of this course, you arer expected to:
Apply effective EYFS teaching techniques.
Support children with special educational needs.
Navigate the National Curriculum in England.
Demonstrate key skills for Key Stages 1 & 2
Understand English and mathematics requirements
Implement teaching strategies for primary subjects
Why Learn with us: 
We, as one of the leading e-learning service providers across the globe, strive to provide all our learners with the best e-learning experience possible that can make a real difference in their career progression.
Our Service for the EYFS and Key Stage 1 & 2 Teaching Assistant Includes:
Intensive Study Notes
Tutor Support
Customer Support
Assignment Help
QLS Endorsed Certificate
24/7 Learning Portal Access
Widely Compatible Study Materials
Course Curriculum of EYFS and Key Stage 1 & 2 Teaching Assistant
**Early Years Teaching**
Module 01: Introduction to EYFS
Module 02: Importance of Early Years in Development
Module 03: EYFS Teaching Techniques
Module 04: Working as an EYFS Teacher
Module 05: Promoting Learning and Development
Module 06: Children Having Special Education Needs or Disabilities
Module 07: Parents' Guide to the Early Years Foundation Stage
Module 08: Welfare Requirements
Module 09: The EYFS Educational Philosophies and Privileges
Module 10: Registration, Inspection, and Quality Improvement
Module 11: EYFS Framework in 2021
**KS1 and KS2 Teaching Assistant**
Module 01: Primary Education in the UK
Module 02: Responsibilities, Qualifications and Skills
Module 03: Children with Special Educational Needs
Module 04: National Curriculum in England
Module 05: Types of Schools in the UK
Module 06: Child Development
Module 07: Moving to Key Stage 1 from EYFS
Module 08: Starting at Key Stage 1
Module 09: English Requirements at Key Stage 1
Module 10: English Requirements at Key Stage 2
Module 11: English Teaching Strategies
Module 12: Mathematics for Key Stage 1
Module 13: Mathematics for Lower Key Stage 2
Module 14: Mathematics for Upper Key Stage 2
Module 15: Teaching Strategies for Mathematics
Module 16: Science for Key Stage 1
Module 17: Science for Key Stage 2
Module 18: Science Teaching Strategies
Module 19: Geography and History Study Program
Module 20: Geography and History Teaching Strategies
Module 21: Other Primary Subjects for Key Stage 1
Module 22: Other Primary Subjects for Key Stage 2
Assessment & Certification
Learners must submit a comprehensive summarised assignment on all the units that will be assessed by our expert tutor if all the learning outcomes are met as per the standard set by QLS. After the quality check, learner will be provided with the EYFS and Key Stage 1 & 2 Teaching Assistant certificates.
Endorsed Certificate of Achievement from the Quality Licence Scheme
An endorsed certificate will be issued to learners at the end of the course as recognition of course completion. Provided that learner completes all the assessment of a course can claim for certificate.
Endorsement:
QLS endorsed this certified course as a highly qualified, non-regulated provision and training programme. There will be a trainer to answer all your questions, including your progression routes into further higher education.
 CPD 
15 CPD hours / points  Accredited by CPD Quality Standards
 Who is this course for? 
Our course is open for everyone. This EYFS and Key Stage 1 & 2 Teaching Assistant is ideal for those who aspire to gain in-depth knowledge & efficient skill to embark into the relevant sector as a promising potential.
 Requirements 
There are no formal requirements needed for this EYFS and Key Stage 1 & 2 Teaching Assistant course. So learners do not require any prior qualifications to enrol in this course.
 Career path 
Level 7 Diploma in EYFS and Key Stage 1 & 2 Teaching Assistant course is beneficial following job roles:
Teaching Assistant: £18,000 - £21,600
Special Education Teaching Assistant: £18,000 - £30,000
Learning Support Assistant: £16,000 - £25,000
Primary School Mentor: £20,000 - £30,000
Education Consultant: £30,000 - £50,000

English Language Teaching

Early Years Foundation Stage (EYFS)

Level 7 Diploma in EYFS and Key Stage 1 & 2 Teaching Assistant - QLS Endorsed

The course is crafted to help you understand not only the role and impact of recommender systems in real-world applications but also provide hands-on experience in developing complete recommender systems engines for your customized dataset using projects. This learning-by-doing course will help you master the concepts and methodology of Python.
 Have you ever thought how YouTube adjusts your feed as per your favorite content? 

Ever wondered! Why is your Netflix recommending your favorite TV shows?

Have you ever wanted to build a customized recommender system for yourself?

Then this is the course you are looking for.

We will begin with the theoretical concepts and fundamental knowledge of recommender systems. You will gain an understanding of the essential taxonomies that form the foundation of these systems. You will be learning how to use the power of Python to evaluate your recommender systems datasets based on user ratings, user choices, music genres, categories of movies, and their year of release. A practical approach will be adopted to build content-based filtering and collaborative filtering techniques for recommender systems.

Moving ahead, you will learn all the basic and necessary concepts for the applied recommender systems models along with the machine learning models. Moreover, various projects have been included in this course to develop a very useful experience for you.

By the end of this course, you will be able to relate the concepts and theories for recommender systems in various domains, implement machine learning models for building real-world recommendation systems, and evaluate the machine learning models.

All the resource files are added to the GitHub repository at: https://github.com/PacktPublishing/Recommender-Systems-with-Machine-Learning
 <h2>What You Will Learn</h2>Explore AI-integrated recommender systems basics Look at the basic taxonomy of recommender systems Study the impact of overfitting, underfitting, bias, and variance Build content-based recommender systems with ML and Python Build item-based recommender systems using ML techniques and Python Learn to model KNN-based recommender engine for applications
 <h2>Audience</h2>No prior knowledge of recommender systems, machine learning, data analysis, or mathematics is needed. Only the working knowledge of basics of Python is required. You will start from the basics and gradually build your knowledge in the subject. This course is designed for both beginners with some programming experience and even those who know nothing about data analysis, ML, and RNNs. The course is suitable for individuals who want to advance their skills in ML, master the relation of data analysis with ML, build customized recommender systems for their applications, and implement ML algorithms for recommender systems.
 <h2>Approach</h2>This is a comprehensive, easy-to-understand, self-explanatory, to-the-point, and practical course with live coding and two in-depth projects covering complete course contents. Every module has engaging content; a completely practical approach is used along with brief theoretical concepts. At the end of every module, there will be a quiz, followed by its solution in the next video.
 <h2>Key Features</h2>Build recommender systems using ML from the perspective of content-based and collaborative filtering * Implementation of ML with data analysis on real-world datasets of movies and Spotify songs * Learn to program with Python and how to use ML concepts to develop recommender systems
 <h2>Github Repo</h2>https://github.com/PacktPublishing/Recommender-Systems-with-Machine-Learning
 <h2>About the Author</h2><h3>AI Sciences</h3>AI Sciences are experts, PhDs, and artificial intelligence practitioners, including computer science, machine learning, and Statistics. Some work in big companies such as Amazon, Google, Facebook, Microsoft, KPMG, BCG, and IBM.

AI sciences produce a series of courses dedicated to beginners and newcomers on techniques and methods of machine learning, statistics, artificial intelligence, and data science. They aim to help those who wish to understand techniques more easily and start with less theory and less extended reading. Today, they publish more comprehensive courses on specific topics for wider audiences.

Their courses have successfully helped more than 100,000 students master AI and data science.
 <h2>Course Outline</h2><h4>1. Introduction</h4><table width='100%'><tbody><tr><td style='padding: 15px;'>1. AI Sciences IntroductionThis video provides an introduction to AI Sciences.</td></tr><tr><td style='padding: 15px;'>2. Instructor IntroductionThis video provides an introduction to the instructor in detail. You will look at the course's structure and the things you will learn by the end of this course.</td></tr><tr><td style='padding: 15px;'>3. Overview of Recommender SystemsThis video provides an overview of the recommender systems and their importance.</td></tr><tr><td style='padding: 15px;'>4. Fundamentals of Recommender SystemsThis video helps you out with the fundamentals of recommender systems.</td></tr><tr><td style='padding: 15px;'>5. Project OverviewThis video discusses the projects you will be working on in the later sections of this course.</td></tr></tbody></table> <h4>2. Motivation for Recommender System</h4><table width='100%'><tbody><tr><td style='padding: 15px;'>1. Recommender Systems OverviewThis video provides an overview of recommender systems.</td></tr><tr><td style='padding: 15px;'>2. Introduction to Recommender SystemsIn this video, you will get to know more about recommender systems.</td></tr><tr><td style='padding: 15px;'>3. Recommender Systems Process and GoalsThis video helps you understand the process and goals of recommender systems.</td></tr><tr><td style='padding: 15px;'>4. Generations of Recommender SystemsThis video helps you with generations of recommender systems.</td></tr><tr><td style='padding: 15px;'>5. Nexus of AI and Recommender SystemsThis video talks about the nexus of AI and recommender systems.</td></tr><tr><td style='padding: 15px;'>6. Applications and Real-World ChallengesThis video helps you understand the applications and real-world challenges, and how recommender systems resolve these issues.</td></tr><tr><td style='padding: 15px;'>7. QuizThis is a quiz video on the concepts learned in this module/section.</td></tr><tr><td style='padding: 15px;'>8. Quiz SolutionThis is a solution video of the quiz for this module/section.</td></tr></tbody></table> <h4>3. Basic of Recommender Systems</h4><table width='100%'><tbody><tr><td style='padding: 15px;'>1. Section OverviewThis video provides an overview of the section.</td></tr><tr><td style='padding: 15px;'>2. Taxonomy of Recommender SystemsIn this video, you will study the taxonomy of recommender systems.</td></tr><tr><td style='padding: 15px;'>3. ICMThis video talks about the ICM (Item Content Matrix) that is used to store the data of recommender systems.</td></tr><tr><td style='padding: 15px;'>4. User Rating MatrixThis video talks about URM (User Rating Matrix), which is used to store the data of recommender systems.</td></tr><tr><td style='padding: 15px;'>5. Quality of Recommender SystemsThis video explains the quality of recommender systems in detail.</td></tr><tr><td style='padding: 15px;'>6. Online Evaluation TechniquesThis video talks about the online evaluation techniques of recommender systems.</td></tr><tr><td style='padding: 15px;'>7. Offline Evaluation TechniquesThis video talks about offline evaluation techniques of recommender systems.</td></tr><tr><td style='padding: 15px;'>8. Data PartitioningThis video explains data partitioning.</td></tr><tr><td style='padding: 15px;'>9. Important ParametersThis video talks about the important parameters of recommender systems.</td></tr><tr><td style='padding: 15px;'>10. Error Metric ComputationThis video demonstrates error metric computation.</td></tr><tr><td style='padding: 15px;'>11. Content-Based FilteringThis video helps you with content-based filtering.</td></tr><tr><td style='padding: 15px;'>12. Collaborative Filtering and User-Based Collaborative FilteringThis video helps you with collaborative filtering and user-based collaborative filtering.</td></tr><tr><td style='padding: 15px;'>13. Item Model and Memory-Based Collaborative FilteringThis video helps you with the item model and memory-based collaborative filtering.</td></tr><tr><td style='padding: 15px;'>14. QuizThis is a quiz video on the concepts learned in this module/section.</td></tr><tr><td style='padding: 15px;'>15. Quiz SolutionThis is a solution video of the quiz for this module/section.</td></tr></tbody></table> <h4>4. Machine Learning for Recommender System</h4><table width='100%'><tbody><tr><td style='padding: 15px;'>1. OverviewThis video provides an overview of the section.</td></tr><tr><td style='padding: 15px;'>2. Benefits of Machine LearningThis video helps you with the benefits of machine learning.</td></tr><tr><td style='padding: 15px;'>3. Guidelines for MLThis video demonstrates the guidelines for machine learning.</td></tr><tr><td style='padding: 15px;'>4. Design Approaches for MLThis video talks about the design approaches for machine learning.</td></tr><tr><td style='padding: 15px;'>5. Content-Based FilteringThis video helps you with content-based filtering.</td></tr><tr><td style='padding: 15px;'>6. Data Preparation for Content-Based FilteringThis video explains data preparation for content-based filtering with machine learning.</td></tr><tr><td style='padding: 15px;'>7. Data Manipulation for Content-Based FilteringThis video explains data manipulation for content-based filtering with machine learning.</td></tr><tr><td style='padding: 15px;'>8. Exploring Genres in Content-Based FilteringThis video helps you explore the genres in content-based filtering.</td></tr><tr><td style='padding: 15px;'>9. tf-idf (Term Frequency-Inverse Document Frequency) MatrixThis video is about the tf-idf (Term Frequency-Inverse Document Frequency) matrix.</td></tr><tr><td style='padding: 15px;'>10. Recommendation EngineThis video talks about the recommendation engine in detail.</td></tr><tr><td style='padding: 15px;'>11. Making RecommendationsThis video helps you with making recommendations.</td></tr><tr><td style='padding: 15px;'>12. Item-Based Collaborative FilteringThis video demonstrates item-based collaborative filtering.</td></tr><tr><td style='padding: 15px;'>13. Item-Based Filtering Data PreparationThis video explains and demonstrates item-based filtering data preparation.</td></tr><tr><td style='padding: 15px;'>14. Age Distribution for UsersThis video helps you find the age distribution for users from the dataset.</td></tr><tr><td style='padding: 15px;'>15. Collaborative Filtering Using KNNThis video helps you with collaborative filtering using KNN.</td></tr><tr><td style='padding: 15px;'>16. Geographic FilteringThis video helps you with geographic filtering.</td></tr><tr><td style='padding: 15px;'>17. KNN ImplementationThis video explains how to implement KNN.</td></tr><tr><td style='padding: 15px;'>18. Making Recommendations with Collaborative FilteringThis video helps you make recommendations with collaborative filtering.</td></tr><tr><td style='padding: 15px;'>19. User-Based Collaborative FilteringThis video helps you with user-based collaborative filtering.</td></tr><tr><td style='padding: 15px;'>20. QuizThis is a quiz video on the concepts learned in this module/section.</td></tr><tr><td style='padding: 15px;'>21. Quiz SolutionThis is a solution video of the quiz for this module/section.</td></tr></tbody></table> <h4>5. Project 1: Song Recommendation System Using Content-Based Filtering</h4><table width='100%'><tbody><tr><td style='padding: 15px;'>1. Project IntroductionThis video gives you an overview of the project.</td></tr><tr><td style='padding: 15px;'>2. Dataset UsageThis video explains how to use the dataset to your advantage.</td></tr><tr><td style='padding: 15px;'>3. Missing ValuesThis video explains how to churn out the missing values from the dataset.</td></tr><tr><td style='padding: 15px;'>4. Exploring GenresThis video helps you with exploring genres from the dataset.</td></tr><tr><td style='padding: 15px;'>5. Occurrence CountThis video demonstrates the occurrence count of the specific condition.</td></tr><tr><td style='padding: 15px;'>6. tf-idf (Term Frequency-Inverse Document Frequency) ImplementationThis video demonstrates the implementation of tf-idf (Term Frequency-Inverse Document Frequency).</td></tr><tr><td style='padding: 15px;'>7. Similarity IndexThis video talks about the similarity index in detail.</td></tr><tr><td style='padding: 15px;'>8. FuzzyWuzzy ImplementationThis video helps you with the implementation of the FuzzyWuzzy algorithm.</td></tr><tr><td style='padding: 15px;'>9. Find the Closest TitleThis video explains how to find the closest title from the dataset as per the input.</td></tr><tr><td style='padding: 15px;'>10. Making RecommendationsThis video explains how to make song recommendations.</td></tr></tbody></table> <h4>6. Project 2: Movie Recommendation System Using Collaborative Filtering</h4><table width='100%'><tbody><tr><td style='padding: 15px;'>1. Project IntroductionThis video provides an introduction to the project.</td></tr><tr><td style='padding: 15px;'>2. Dataset DiscussionThis video involves a deep understanding of the dataset to be explored for this module.</td></tr><tr><td style='padding: 15px;'>3. Rating PlotThis video helps you with the plot rating from the dataset.</td></tr><tr><td style='padding: 15px;'>4. CountThis video explains the count function.</td></tr><tr><td style='padding: 15px;'>5. Logarithm of CountThis video helps you explain the logarithm of count.</td></tr><tr><td style='padding: 15px;'>6. Active Users and Popular MoviesThis video explains the active users and popular movies available.</td></tr><tr><td style='padding: 15px;'>7. Create Collaborative FilterThis video demonstrates creating a collaborative filter.</td></tr><tr><td style='padding: 15px;'>8. KNN ImplementationThis video explains the implementation of KNN.</td></tr><tr><td style='padding: 15px;'>9. Making RecommendationsThis video explains how to make movie recommendations.</td></tr><tr><td style='padding: 15px;'>10. Course ConclusionThis video provides the conclusion for the course. We hope that you will be able to apply the learnings from this course into your professional life.</td></tr></tbody></table>

The course is crafted to help you understand not only the role and impact of recommender systems in real-world applications but also provide hands-on experience in developing complete recommender systems engines for your customized dataset using projects. This learning-by-doing course will help you master the concepts and methodology of Python.
Have you ever thought how YouTube adjusts your feed as per your favorite content? Ever wondered! Why is your Netflix recommending your favorite TV shows? Have you ever wanted to build a customized recommender system for yourself? Then this is the course you are looking for. We will begin with the theoretical concepts and fundamental knowledge of recommender systems. You will gain an understanding of the essential taxonomies that form the foundation of these systems. You will be learning how to use the power of Python to evaluate your recommender systems datasets based on user ratings, user choices, music genres, categories of movies, and their year of release. A practical approach will be adopted to build content-based filtering and collaborative filtering techniques for recommender systems. Moving ahead, you will learn all the basic and necessary concepts for the applied recommender systems models along with the machine learning models. Moreover, various projects have been included in this course to develop a very useful experience for you. By the end of this course, you will be able to relate the concepts and theories for recommender systems in various domains, implement machine learning models for building real-world recommendation systems, and evaluate the machine learning models. All the resource files are added to the GitHub repository at: https://github.com/PacktPublishing/Recommender-Systems-with-Machine-Learning
What You Will Learn
Explore AI-integrated recommender systems basics
Look at the basic taxonomy of recommender systems
Study the impact of overfitting, underfitting, bias, and variance
Build content-based recommender systems with ML and Python
Build item-based recommender systems using ML techniques and Python
Learn to model KNN-based recommender engine for applications
Audience
No prior knowledge of recommender systems, machine learning, data analysis, or mathematics is needed. Only the working knowledge of basics of Python is required. You will start from the basics and gradually build your knowledge in the subject.

This course is designed for both beginners with some programming experience and even those who know nothing about data analysis, ML, and RNNs.

The course is suitable for individuals who want to advance their skills in ML, master the relation of data analysis with ML, build customized recommender systems for their applications, and implement ML algorithms for recommender systems.
Approach
This is a comprehensive, easy-to-understand, self-explanatory, to-the-point, and practical course with live coding and two in-depth projects covering complete course contents.

Every module has engaging content; a completely practical approach is used along with brief theoretical concepts. At the end of every module, there will be a quiz, followed by its solution in the next video.
Key Features
Build recommender systems using ML from the perspective of content-based and collaborative filtering * Implementation of ML with data analysis on real-world datasets of movies and Spotify songs * Learn to program with Python and how to use ML concepts to develop recommender systems
Github Repo
https://github.com/PacktPublishing/Recommender-Systems-with-Machine-Learning
About the Author
AI Sciences
AI Sciences are experts, PhDs, and artificial intelligence practitioners, including computer science, machine learning, and Statistics. Some work in big companies such as Amazon, Google, Facebook, Microsoft, KPMG, BCG, and IBM. AI sciences produce a series of courses dedicated to beginners and newcomers on techniques and methods of machine learning, statistics, artificial intelligence, and data science. They aim to help those who wish to understand techniques more easily and start with less theory and less extended reading. Today, they publish more comprehensive courses on specific topics for wider audiences. Their courses have successfully helped more than 100,000 students master AI and data science.
Course Outline
1. Introduction

1. AI Sciences Introduction
This video provides an introduction to AI Sciences.
2. Instructor Introduction
This video provides an introduction to the instructor in detail. You will look at the course's structure and the things you will learn by the end of this course.
3. Overview of Recommender Systems
This video provides an overview of the recommender systems and their importance.
4. Fundamentals of Recommender Systems
This video helps you out with the fundamentals of recommender systems.
5. Project Overview
This video discusses the projects you will be working on in the later sections of this course.
2. Motivation for Recommender System

1. Recommender Systems Overview
This video provides an overview of recommender systems.
2. Introduction to Recommender Systems
In this video, you will get to know more about recommender systems.
3. Recommender Systems Process and Goals
This video helps you understand the process and goals of recommender systems.
4. Generations of Recommender Systems
This video helps you with generations of recommender systems.
5. Nexus of AI and Recommender Systems
This video talks about the nexus of AI and recommender systems.
6. Applications and Real-World Challenges
This video helps you understand the applications and real-world challenges, and how recommender systems resolve these issues.
7. Quiz
This is a quiz video on the concepts learned in this module/section.
8. Quiz Solution
This is a solution video of the quiz for this module/section.
3. Basic of Recommender Systems

1. Section Overview
This video provides an overview of the section.
2. Taxonomy of Recommender Systems
In this video, you will study the taxonomy of recommender systems.
3. ICM
This video talks about the ICM (Item Content Matrix) that is used to store the data of recommender systems.
4. User Rating Matrix
This video talks about URM (User Rating Matrix), which is used to store the data of recommender systems.
5. Quality of Recommender Systems
This video explains the quality of recommender systems in detail.
6. Online Evaluation Techniques
This video talks about the online evaluation techniques of recommender systems.
7. Offline Evaluation Techniques
This video talks about offline evaluation techniques of recommender systems.
8. Data Partitioning
This video explains data partitioning.
9. Important Parameters
This video talks about the important parameters of recommender systems.
10. Error Metric Computation
This video demonstrates error metric computation.
11. Content-Based Filtering
This video helps you with content-based filtering.
12. Collaborative Filtering and User-Based Collaborative Filtering
This video helps you with collaborative filtering and user-based collaborative filtering.
13. Item Model and Memory-Based Collaborative Filtering
This video helps you with the item model and memory-based collaborative filtering.
14. Quiz
This is a quiz video on the concepts learned in this module/section.
15. Quiz Solution
This is a solution video of the quiz for this module/section.
4. Machine Learning for Recommender System

1. Overview
This video provides an overview of the section.
2. Benefits of Machine Learning
This video helps you with the benefits of machine learning.
3. Guidelines for ML
This video demonstrates the guidelines for machine learning.
4. Design Approaches for ML
This video talks about the design approaches for machine learning.
5. Content-Based Filtering
This video helps you with content-based filtering.
6. Data Preparation for Content-Based Filtering
This video explains data preparation for content-based filtering with machine learning.
7. Data Manipulation for Content-Based Filtering
This video explains data manipulation for content-based filtering with machine learning.
8. Exploring Genres in Content-Based Filtering
This video helps you explore the genres in content-based filtering.
9. tf-idf (Term Frequency-Inverse Document Frequency) Matrix
This video is about the tf-idf (Term Frequency-Inverse Document Frequency) matrix.
10. Recommendation Engine
This video talks about the recommendation engine in detail.
11. Making Recommendations
This video helps you with making recommendations.
12. Item-Based Collaborative Filtering
This video demonstrates item-based collaborative filtering.
13. Item-Based Filtering Data Preparation
This video explains and demonstrates item-based filtering data preparation.
14. Age Distribution for Users
This video helps you find the age distribution for users from the dataset.
15. Collaborative Filtering Using KNN
This video helps you with collaborative filtering using KNN.
16. Geographic Filtering
This video helps you with geographic filtering.
17. KNN Implementation
This video explains how to implement KNN.
18. Making Recommendations with Collaborative Filtering
This video helps you make recommendations with collaborative filtering.
19. User-Based Collaborative Filtering
This video helps you with user-based collaborative filtering.
20. Quiz
This is a quiz video on the concepts learned in this module/section.
21. Quiz Solution
This is a solution video of the quiz for this module/section.
5. Project 1: Song Recommendation System Using Content-Based Filtering

1. Project Introduction
This video gives you an overview of the project.
2. Dataset Usage
This video explains how to use the dataset to your advantage.
3. Missing Values
This video explains how to churn out the missing values from the dataset.
4. Exploring Genres
This video helps you with exploring genres from the dataset.
5. Occurrence Count
This video demonstrates the occurrence count of the specific condition.
6. tf-idf (Term Frequency-Inverse Document Frequency) Implementation
This video demonstrates the implementation of tf-idf (Term Frequency-Inverse Document Frequency).
7. Similarity Index
This video talks about the similarity index in detail.
8. FuzzyWuzzy Implementation
This video helps you with the implementation of the FuzzyWuzzy algorithm.
9. Find the Closest Title
This video explains how to find the closest title from the dataset as per the input.
10. Making Recommendations
This video explains how to make song recommendations.
6. Project 2: Movie Recommendation System Using Collaborative Filtering

1. Project Introduction
This video provides an introduction to the project.
2. Dataset Discussion
This video involves a deep understanding of the dataset to be explored for this module.
3. Rating Plot
This video helps you with the plot rating from the dataset.
4. Count
This video explains the count function.
5. Logarithm of Count
This video helps you explain the logarithm of count.
6. Active Users and Popular Movies
This video explains the active users and popular movies available.
7. Create Collaborative Filter
This video demonstrates creating a collaborative filter.
8. KNN Implementation
This video explains the implementation of KNN.
9. Making Recommendations
This video explains how to make movie recommendations.
10. Course Conclusion
This video provides the conclusion for the course. We hope that you will be able to apply the learnings from this course into your professional life.

Data Analysis

Python

Pandas

The course is crafted to help you understand not only the role and impact of recommender systems in real-world applications but also provide hands-on experience in developing complete recommender systems engines for your customized dataset using projects. This learning-by-doing course will help you master the concepts and methodology of Python.

Recommender Systems with Machine Learning

Do you want to learn about Linux, but don't know where to start? Then you are in the right place. Take your first steps with this course. In this course, you will learn Linux installation, configuration, the Linux command line, administration, shell scripting, and much more. It is specially designed for absolute beginners with no prior experience in Linux.
 Linux is the number one operating system in the corporate world. The industry's most powerful computers are Linux-based. Linux is a popular open-source operating system that's easy to use and highly secure.

Linux offers low-cost servers that can run almost every major web development language available. With the availability of cloud computing, the Linux market share is skyrocketing.

If you want to start your career in Linux and have little or no knowledge of Linux, then this course will definitely help. In this course, we will start with the history of Linux distributions, and then learn how to download, install, and configure Linux on your systems. Next, we will get introduced to the file system and terminal where you will learn different Linux directory commands.

Later, you will learn how to work with files and directories, how to copy, edit, move, search for a file, and more. Then we will cover system commands such as date, calendar, and sleep, and Utility commands like how to clear, exit or shutdown. After this, we will move to networking where you will learn how to check the IP address and set up a bridged network in VirtualBox. Next, we will cover process and memory. In the last section, you will learn how to create your own Apache server and host a real-time website.

By the end of this course, you will gain Linux system administration skills and become an independent user of the Linux operating system.

All the resources for this course are available at: https://github.com/PacktPublishing/Linux-Operating-System-A-Complete-Linux-Guide-for-Beginners
 <h2>What You Will Learn</h2>Get introduced to Linux distributions and understand its history Learn how to set up the Linux environment Explore the Linux file system and terminal Learn how to work with files and directories Learn different system and utility commands Learn how to set up Apache server and host a website on Linux server
 <h2>Audience</h2>Anyone interested in learning more about Linux or beginning IT professionals who wish to increase their knowledge of Linux should take this course. This course will also be helpful for those who are considering a career as a Linux system administrator or engineer and need to brush up on the fundamentals.
 <h2>Approach</h2>No prior experience with Linux is necessary for this course. Everything will be taught to you from scratch! In addition to the lectures, there will be quizzes, additional resources, and hand-out material to aid the learning experience.
 <h2>Key Features</h2>Learn Linux key concepts and commands starting from scratch * Build a deep understanding of Linux fundamentals and concepts * Gain complete understanding of Linux and fill in any existing knowledge gaps
 <h2>Github Repo</h2>https://github.com/PacktPublishing/Linux-Operating-System-A-Complete-Linux-Guide-for-Beginners
 <h2>About the Author</h2><h3>Ankush Choudhary</h3>Ankush Choudhary is a cloud engineer by profession. He has a degree in information technology and loves working with new tech and computers.

His focus and interests include various topics in the fields of computers and technology. Teaching has been a passion for a number of years.

In addition to teaching, Ankush has experience as a cloud engineer. His role in this field has provided him with experience and insight into the architecture, deployment, development, and administration of cloud environments. The author also has a newer interest in the area of virtualization and AWS.

The author looks forward to the experience and challenge of teaching and learning online with the students. Computer science is a field that covers a vast amount of information and due to its abundance and necessity, it is easily applied to our own lives and the lives of those around us. Hope that your learning journey together makes us enjoy the world of technology!
 <h2>Course Outline</h2><h4>1. Introduction</h4>In this section, we will get introduced to this course and understand what Linux is.<table width='100%'><tbody><tr><td style='padding: 15px;'>1. Introduction to CourseWelcome to the course. In this video, we will have a look at the course goals.</td></tr><tr><td style='padding: 15px;'>2. Course OutlineIn this video, we will go through the course outline and understand what is covered in the course.</td></tr><tr><td style='padding: 15px;'>3. What Is LinuxLinux is the number one operating system in the corporate world. Industry's most powerful computers are Linux-based. Linux is a popular open-source operating system that is easy to use and highly secure.</td></tr><tr><td style='padding: 15px;'>4. DefinitionIn this video, we will go through the definition of Linux and understand what Linux is.</td></tr><tr><td style='padding: 15px;'>5. Why Linux?In this video, we will understand how Linux is different from other operating systems.</td></tr></tbody></table> <h4>2. Linux Distributions and History</h4>In this section, we will look at Linux distributions and also its history.<table width='100%'><tbody><tr><td style='padding: 15px;'>1. Brief HistoryIn this video, we will look at the history of Linux.</td></tr><tr><td style='padding: 15px;'>2. Major Linux FamiliesIn this video, we will discuss the major Linux families such as Fedora, Ubuntu, CentOS.</td></tr><tr><td style='padding: 15px;'>3. Choosing Distro for This CourseIn this video, we will choose Distro.</td></tr><tr><td style='padding: 15px;'>4. GUI Versus CLIIn this video, we will understand the difference between GUI (Graphical User Interface) and CLI (Command Line Interface).</td></tr></tbody></table> <h4>3. Download, Install, and Configure</h4>In this section, we will download, install, and configure Linux using a VirtualBox.<table width='100%'><tbody><tr><td style='padding: 15px;'>1. Installation and Understanding VirtualizationIn this video, we will understand why we need virtual environment installation and virtualization.</td></tr><tr><td style='padding: 15px;'>2. Installing VirtualBoxIn this video, you will learn how to install VirtualBox.</td></tr><tr><td style='padding: 15px;'>3. Downloading Linux MintIn this video, you will learn how to download Linux Mint.</td></tr><tr><td style='padding: 15px;'>4. Creating First VMIn this video, you will learn how to create the first VM.</td></tr><tr><td style='padding: 15px;'>5. Installing Linux MintIn this video, you will learn how to install Linux Mint.</td></tr><tr><td style='padding: 15px;'>6. Additional Settings for VirtualBoxIn this video, we will work on additional settings for VirtualBox.</td></tr><tr><td style='padding: 15px;'>7. OnWorks (Alternate If You Can't Use VM)In this video, we will look at an alternative that we can use instead of installing VM on the system. OnWorks is a free online VPS hosting provider that gives cloud services such as free workstations, online antivirus, free VPN secure proxies, and free personal and business email.</td></tr></tbody></table> <h4>4. Introduction to File System and Terminal</h4>In this section, we will get an introduction to file system, terminal, and Linux commands.<table width='100%'><tbody><tr><td style='padding: 15px;'>1. Look-Around in Mint UI (User Interface)In this video, we will explore the Mint UI.</td></tr><tr><td style='padding: 15px;'>2. Linux File System HierarchyIn this video, we will have a look at the Linux file system hierarchy.</td></tr><tr><td style='padding: 15px;'>3. Introduction to TerminalIn this video, we will get introduced to the place where we will be running all our commands, the Linux Terminal, and some basic commands such as whoami and pwd.</td></tr><tr><td style='padding: 15px;'>4. Linux Directory CommandsIn this video, you will learn some basic Linux directory commands such as ls, cd, and so on.</td></tr><tr><td style='padding: 15px;'>5. Linux Directory Commands Part-2In this video, we will look at some more Linux directory commands such as mkdir, rmdir, rm, and more.</td></tr><tr><td style='padding: 15px;'>6. sudoIn this video, we will understand the sudo command.</td></tr><tr><td style='padding: 15px;'>7. Getting HelpIn this video, we will see how to use the help command in Linux.</td></tr></tbody></table> <h4>5. Working with Files and Directories</h4>In this section, we will work with files and directories.<table width='100%'><tbody><tr><td style='padding: 15px;'>1. Printing Contents of FilesIn this video, you will learn how to print contents of files using cat and echo commands.</td></tr><tr><td style='padding: 15px;'>2. Copying, Moving, Renaming FilesIn this video, you will learn how to copy, move, or rename files using cp, mv, and so on.</td></tr><tr><td style='padding: 15px;'>3. Linux File Editors (Nano Editor)In this video, we will have a look at the nano editor.</td></tr><tr><td style='padding: 15px;'>4. Linux File Editors (Vi Text Editor)In this video, we will have a look at the vi text editor.</td></tr><tr><td style='padding: 15px;'>5. Search for a File (Find, Locate)In this video, you will learn how to search for a file using the find and locate commands.</td></tr><tr><td style='padding: 15px;'>6. Grep, Comparing FilesIn this video, you will learn the Grep, cmp, and comm commands.</td></tr><tr><td style='padding: 15px;'>7. Pipe and sedIn this video, we will understand a pipe "|" and also understand the use of the sed command.</td></tr><tr><td style='padding: 15px;'>8. Checking File SizeIn this video, you will learn how to check file size using df and du commands.</td></tr><tr><td style='padding: 15px;'>9. Compress and Un-Compress Files/DirectoriesIn this video, you will learn how to compress and un-compress files/directories using tar and zip.</td></tr></tbody></table> <h4>6. System and Utility Commands</h4>In this section, we will system and utility commands.<table width='100%'><tbody><tr><td style='padding: 15px;'>1. System InfoIn this video, you will learn how to check out our system info using uname and id command.</td></tr><tr><td style='padding: 15px;'>2. System Utilities (Date, Calander, Sleep)In this video, we will talk about the date, cal, sleep, time, zcat, mount commands.</td></tr><tr><td style='padding: 15px;'>3. Utility Commands (Clear Exit Shutdown)In this video, we will talk about the exit, clear, sudo shutdown commands.</td></tr><tr><td style='padding: 15px;'>4. Uptime, AliasIn this video, we will talk about the uptime, alias, unalias commands.</td></tr><tr><td style='padding: 15px;'>5. User ManagementIn this video, we will talk about user management commands such as useradd, passwd, groupadd, and so on.</td></tr><tr><td style='padding: 15px;'>6. Changing Ownership of File, FolderIn this video, you will learn how to change the ownership of file, folder using the ls -l command.</td></tr><tr><td style='padding: 15px;'>7. Changing User PermissionsIn this video, you will learn how to change user permissions by adding or removing the permission.</td></tr><tr><td style='padding: 15px;'>8. Changing Permissions Using Num CodeIn this video, you will learn how to change permissions using numeric code.</td></tr></tbody></table> <h4>7. Networking</h4>In this section, we will cover networking, learn how to check our IP address, and set up a bridged network.<table width='100%'><tbody><tr><td style='padding: 15px;'>1. Networking - IntroductionIn this video, we will get introduced to some basic network commands such as hostname, ping, host.</td></tr><tr><td style='padding: 15px;'>2. Check Your IPIn this video, you will learn how to check your IP using ipconfig, ip commands.</td></tr><tr><td style='padding: 15px;'>3. Setting Up Bridged Network in VirtualBoxIn this video, you will learn how to set up a bridged network in VirtualBox.</td></tr><tr><td style='padding: 15px;'>4. FirewallIn this video, we will discuss about firewall.</td></tr></tbody></table> <h4>8. Process and Memory</h4>In this section, we will cover process and memory.<table width='100%'><tbody><tr><td style='padding: 15px;'>1. MemoryIn this video, we will discuss about memory.</td></tr><tr><td style='padding: 15px;'>2. Process (ps and top)In this video, we will discuss about process (ps and top).</td></tr><tr><td style='padding: 15px;'>3. Killing a ProcessIn this video, you will learn how to kill a process.</td></tr></tbody></table> <h4>9. Advanced Features</h4>In this section, you will learn how run a C program, create an Apache server then host a website on it. We will also cover shell script and SSH.<table width='100%'><tbody><tr><td style='padding: 15px;'>1. Writing and Running Code Using Terminal (C Language)In this video, you will learn how to write and running a C program using the Linux terminal.</td></tr><tr><td style='padding: 15px;'>2. Installing Apache ServerIn this video, you will learn how to install Apache server.</td></tr><tr><td style='padding: 15px;'>3. Setting Up Your Own WebpageIn this video, you will learn how to set up your own webpage.</td></tr><tr><td style='padding: 15px;'>4. Shell ScriptingIn this video, you will learn about shell scripting.</td></tr></tbody></table> <h4>10. Bonus: Additional VirtualBox settings</h4>In this bonus section, we will cover some additional and useful VirtualBox settings.<table width='100%'><tbody><tr><td style='padding: 15px;'>1. Making USB Devices Work with VirtualBox CopyIn this video, you will learn how to make USB devices work with VirtualBox copy.</td></tr><tr><td style='padding: 15px;'>2. Using External USB Devices in a VM CopyIn this video, you will learn how to use external USB devices in a VM copy.</td></tr></tbody></table>

Do you want to learn about Linux, but don't know where to start? Then you are in the right place. Take your first steps with this course. In this course, you will learn Linux installation, configuration, the Linux command line, administration, shell scripting, and much more. It is specially designed for absolute beginners with no prior experience in Linux.
Linux is the number one operating system in the corporate world. The industry's most powerful computers are Linux-based. Linux is a popular open-source operating system that's easy to use and highly secure. Linux offers low-cost servers that can run almost every major web development language available. With the availability of cloud computing, the Linux market share is skyrocketing. If you want to start your career in Linux and have little or no knowledge of Linux, then this course will definitely help. In this course, we will start with the history of Linux distributions, and then learn how to download, install, and configure Linux on your systems. Next, we will get introduced to the file system and terminal where you will learn different Linux directory commands. Later, you will learn how to work with files and directories, how to copy, edit, move, search for a file, and more. Then we will cover system commands such as date, calendar, and sleep, and Utility commands like how to clear, exit or shutdown. After this, we will move to networking where you will learn how to check the IP address and set up a bridged network in VirtualBox. Next, we will cover process and memory. In the last section, you will learn how to create your own Apache server and host a real-time website. By the end of this course, you will gain Linux system administration skills and become an independent user of the Linux operating system. All the resources for this course are available at: https://github.com/PacktPublishing/Linux-Operating-System-A-Complete-Linux-Guide-for-Beginners
What You Will Learn
Get introduced to Linux distributions and understand its history
Learn how to set up the Linux environment
Explore the Linux file system and terminal
Learn how to work with files and directories
Learn different system and utility commands
Learn how to set up Apache server and host a website on Linux server
Audience
Anyone interested in learning more about Linux or beginning IT professionals who wish to increase their knowledge of Linux should take this course. This course will also be helpful for those who are considering a career as a Linux system administrator or engineer and need to brush up on the fundamentals.
Approach
No prior experience with Linux is necessary for this course. Everything will be taught to you from scratch! In addition to the lectures, there will be quizzes, additional resources, and hand-out material to aid the learning experience.
Key Features
Learn Linux key concepts and commands starting from scratch * Build a deep understanding of Linux fundamentals and concepts * Gain complete understanding of Linux and fill in any existing knowledge gaps
Github Repo
https://github.com/PacktPublishing/Linux-Operating-System-A-Complete-Linux-Guide-for-Beginners
About the Author
Ankush Choudhary
Ankush Choudhary is a cloud engineer by profession. He has a degree in information technology and loves working with new tech and computers. His focus and interests include various topics in the fields of computers and technology. Teaching has been a passion for a number of years. In addition to teaching, Ankush has experience as a cloud engineer. His role in this field has provided him with experience and insight into the architecture, deployment, development, and administration of cloud environments. The author also has a newer interest in the area of virtualization and AWS. The author looks forward to the experience and challenge of teaching and learning online with the students. Computer science is a field that covers a vast amount of information and due to its abundance and necessity, it is easily applied to our own lives and the lives of those around us. Hope that your learning journey together makes us enjoy the world of technology!
Course Outline
1. Introduction
In this section, we will get introduced to this course and understand what Linux is.
1. Introduction to Course
Welcome to the course. In this video, we will have a look at the course goals.
2. Course Outline
In this video, we will go through the course outline and understand what is covered in the course.
3. What Is Linux
Linux is the number one operating system in the corporate world. Industry's most powerful computers are Linux-based. Linux is a popular open-source operating system that is easy to use and highly secure.
4. Definition
In this video, we will go through the definition of Linux and understand what Linux is.
5. Why Linux?
In this video, we will understand how Linux is different from other operating systems.
2. Linux Distributions and History
In this section, we will look at Linux distributions and also its history.
1. Brief History
In this video, we will look at the history of Linux.
2. Major Linux Families
In this video, we will discuss the major Linux families such as Fedora, Ubuntu, CentOS.
3. Choosing Distro for This Course
In this video, we will choose Distro.
4. GUI Versus CLI
In this video, we will understand the difference between GUI (Graphical User Interface) and CLI (Command Line Interface).
3. Download, Install, and Configure
In this section, we will download, install, and configure Linux using a VirtualBox.
1. Installation and Understanding Virtualization
In this video, we will understand why we need virtual environment installation and virtualization.
2. Installing VirtualBox
In this video, you will learn how to install VirtualBox.
3. Downloading Linux Mint
In this video, you will learn how to download Linux Mint.
4. Creating First VM
In this video, you will learn how to create the first VM.
5. Installing Linux Mint
In this video, you will learn how to install Linux Mint.
6. Additional Settings for VirtualBox
In this video, we will work on additional settings for VirtualBox.
7. OnWorks (Alternate If You Can't Use VM)
In this video, we will look at an alternative that we can use instead of installing VM on the system. OnWorks is a free online VPS hosting provider that gives cloud services such as free workstations, online antivirus, free VPN secure proxies, and free personal and business email.
4. Introduction to File System and Terminal
In this section, we will get an introduction to file system, terminal, and Linux commands.
1. Look-Around in Mint UI (User Interface)
In this video, we will explore the Mint UI.
2. Linux File System Hierarchy
In this video, we will have a look at the Linux file system hierarchy.
3. Introduction to Terminal
In this video, we will get introduced to the place where we will be running all our commands, the Linux Terminal, and some basic commands such as whoami and pwd.
4. Linux Directory Commands
In this video, you will learn some basic Linux directory commands such as ls, cd, and so on.
5. Linux Directory Commands Part-2
In this video, we will look at some more Linux directory commands such as mkdir, rmdir, rm, and more.
6. sudo
In this video, we will understand the sudo command.
7. Getting Help
In this video, we will see how to use the help command in Linux.
5. Working with Files and Directories
In this section, we will work with files and directories.
1. Printing Contents of Files
In this video, you will learn how to print contents of files using cat and echo commands.
2. Copying, Moving, Renaming Files
In this video, you will learn how to copy, move, or rename files using cp, mv, and so on.
3. Linux File Editors (Nano Editor)
In this video, we will have a look at the nano editor.
4. Linux File Editors (Vi Text Editor)
In this video, we will have a look at the vi text editor.
5. Search for a File (Find, Locate)
In this video, you will learn how to search for a file using the find and locate commands.
6. Grep, Comparing Files
In this video, you will learn the Grep, cmp, and comm commands.
7. Pipe and sed
In this video, we will understand a pipe "|" and also understand the use of the sed command.
8. Checking File Size
In this video, you will learn how to check file size using df and du commands.
9. Compress and Un-Compress Files/Directories
In this video, you will learn how to compress and un-compress files/directories using tar and zip.
6. System and Utility Commands
In this section, we will system and utility commands.
1. System Info
In this video, you will learn how to check out our system info using uname and id command.
2. System Utilities (Date, Calander, Sleep)
In this video, we will talk about the date, cal, sleep, time, zcat, mount commands.
3. Utility Commands (Clear Exit Shutdown)
In this video, we will talk about the exit, clear, sudo shutdown commands.
4. Uptime, Alias
In this video, we will talk about the uptime, alias, unalias commands.
5. User Management
In this video, we will talk about user management commands such as useradd, passwd, groupadd, and so on.
6. Changing Ownership of File, Folder
In this video, you will learn how to change the ownership of file, folder using the ls -l command.
7. Changing User Permissions
In this video, you will learn how to change user permissions by adding or removing the permission.
8. Changing Permissions Using Num Code
In this video, you will learn how to change permissions using numeric code.
7. Networking
In this section, we will cover networking, learn how to check our IP address, and set up a bridged network.
1. Networking - Introduction
In this video, we will get introduced to some basic network commands such as hostname, ping, host.
2. Check Your IP
In this video, you will learn how to check your IP using ipconfig, ip commands.
3. Setting Up Bridged Network in VirtualBox
In this video, you will learn how to set up a bridged network in VirtualBox.
4. Firewall
In this video, we will discuss about firewall.
8. Process and Memory
In this section, we will cover process and memory.
1. Memory
In this video, we will discuss about memory.
2. Process (ps and top)
In this video, we will discuss about process (ps and top).
3. Killing a Process
In this video, you will learn how to kill a process.
9. Advanced Features
In this section, you will learn how run a C program, create an Apache server then host a website on it. We will also cover shell script and SSH.
1. Writing and Running Code Using Terminal (C Language)
In this video, you will learn how to write and running a C program using the Linux terminal.
2. Installing Apache Server
In this video, you will learn how to install Apache server.
3. Setting Up Your Own Webpage
In this video, you will learn how to set up your own webpage.
4. Shell Scripting
In this video, you will learn about shell scripting.
10. Bonus: Additional VirtualBox settings
In this bonus section, we will cover some additional and useful VirtualBox settings.
1. Making USB Devices Work with VirtualBox Copy
In this video, you will learn how to make USB devices work with VirtualBox copy.
2. Using External USB Devices in a VM Copy
In this video, you will learn how to use external USB devices in a VM copy.

Linux Command Line

Linux Administration

Do you want to learn about Linux, but don't know where to start? Then you are in the right place. Take your first steps with this course. In this course, you will learn Linux installation, configuration, the Linux command line, administration, shell scripting, and much more. It is specially designed for absolute beginners with no prior experience in Linux.

Linux Operating System: A Complete Linux Guide for Beginners

Real Estate Financial Modelling School (5 days)The Real Estate Financial Modelling School is an intensive week meticulously designed to teach the best practices to create flexible and robust cash flows in Excel.This week long CPD accredited training is ideal for those Real Estate professionals, who are looking to bolster the DCF modelling skills. This course covers Real Estate Investment, Development, Finance &amp; Risk.The school combines three of our courses:<ul fr-original-style="" style="box-sizing: border-box;"><li value="1" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Real Estate Analyst</li><li value="2" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Real Estate Investor</li><li value="3" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Real Estate Modelling Masterclass</li></ul> All of the courses are interlinked to give you a full understanding of the subject using Excel. On this course you will&hellip;<ul fr-original-style="" style="box-sizing: border-box;"><li value="1" fr-original-style="" style="box-sizing: border-box;">Implement cash flows in excel throughout the whole week.</li><li value="2" fr-original-style="" style="box-sizing: border-box;">In the first two days you will learn how to develop rent functions and net operating income. We will show you how to value and appraise property investments and analyse the results.</li><li value="3" fr-original-style="" style="box-sizing: border-box;">On the third and fourth day you will learn how to model and analyse development projects using both residuals and cash flow methods. It will show you how to interrogate and compare alternative return metrics such as profit-equity multiples, profit and cost, net present value, worth and internal rate of return. Additionally you will cover how to model cash flow from different sector office, retail and leisure.</li><li value="4" fr-original-style="" style="box-sizing: border-box;">Finally on the fifth day debt structures will be covered as well as joint ventures and partnership financing. You will also learn how to implement the full spectrum of the risk analysis from sensitivity to Monte Carlo.</li></ul> Who will benefit from this school?<ul fr-original-style="" style="box-sizing: border-box;"><li value="1" fr-original-style="" style="box-sizing: border-box;">Real Estate professionals at any level with exposure to real estate financial models on a frequent basis</li><li value="2" fr-original-style="" style="box-sizing: border-box;">Junior or new Real Estate Analysts who would like to start building their own real estate models quickly, rather than relying solely on coaching from existing team members</li><li value="3" fr-original-style="" style="box-sizing: border-box;">Mid-level to senior Real Estate Analysts</li><li value="4" fr-original-style="" style="box-sizing: border-box;">Real Estate Managers who would like to gain an understanding of the dynamics of debt and financial return fluctuations in more detail</li><li value="5" fr-original-style="" style="box-sizing: border-box;">Property industry modellers who would like to be fully proficient in building complex financial models</li></ul> Course OutlineDay OneReal Estate Analyst IKnow how to build a property asset cash flow, analyse geared, and un-geared IRRs.<ul fr-original-style="" style="box-sizing: border-box;"><li value="1" fr-original-style="" style="box-sizing: border-box;">Term &amp; Reversion and Layer Method Valuation (Intro to Excel)</li><li value="2" fr-original-style="" style="box-sizing: border-box;">Equivalent Yield (Solver, Scenario and Goal Seek functions)</li><li value="3" fr-original-style="" style="box-sizing: border-box;">Single-Let Discounted Cash Flow</li><li value="4" fr-original-style="" style="box-sizing: border-box;">Cash Flow inputs (Rents, Yields, Growth Rates, Target Returns)</li><li value="5" fr-original-style="" style="box-sizing: border-box;">Analysis and use of date series</li><li value="6" fr-original-style="" style="box-sizing: border-box;">Internal Rate of Return (IRR) and Net Present Value (NPV)</li><li value="7" fr-original-style="" style="box-sizing: border-box;">Comparing Value, Price and Worth</li><li value="8" fr-original-style="" style="box-sizing: border-box;">Adding borrowing and analysing geared returns</li><li value="9" fr-original-style="" style="box-sizing: border-box;">Introducing Rent Reviews and other &lsquo;events&rsquo; into cash flows</li><li value="10" fr-original-style="" style="box-sizing: border-box;">The &lsquo;Rent Function&rsquo; concept and Logic functions (IF,OR,AND)</li><li value="11" fr-original-style="" style="box-sizing: border-box;">Sensitivity analysis</li></ul> Day TwoReal Estate Analyst IIKnow how to build a multi-let property cash flow and apply the concepts on a hypothetical case study.<ul fr-original-style="" style="box-sizing: border-box;"><li value="1" fr-original-style="" style="box-sizing: border-box;">The &lsquo;Rent Function&rsquo; and Multi-let cash flows</li><li value="2" fr-original-style="" style="box-sizing: border-box;">The &lsquo;date problem&rsquo; and assumptions in property asset cash flows</li><li value="3" fr-original-style="" style="box-sizing: border-box;">Reducing the rent function, intermediate calculations and modelling theory</li><li value="4" fr-original-style="" style="box-sizing: border-box;">Modelling lease expiries, break clauses, voids, and upward only covenants</li><li value="5" fr-original-style="" style="box-sizing: border-box;">Incorporating time-varying rental growth rates</li><li value="6" fr-original-style="" style="box-sizing: border-box;">Analysing multi-let cash flows to see if the leases are sufficiently diversified</li><li value="7" fr-original-style="" style="box-sizing: border-box;">Further IRR analysis (XIRR, MIRR)</li></ul> Day ThreeReal Estate Investor I<ul fr-original-style="" style="box-sizing: border-box;"><li value="1" fr-original-style="" style="box-sizing: border-box;">Modelling international variations in real estate income streams i.e. Includes indexation patterns, rent caps, discounts / premiums to indexation, rent free periods, as well as how to deal with costs during vacancy</li><li value="2" fr-original-style="" style="box-sizing: border-box;">Modelling sector variations in real estate income streams i.e. Office versus industrial, retail &amp; leisure</li><li value="3" fr-original-style="" style="box-sizing: border-box;">Further senior debt covenants</li><li value="4" fr-original-style="" style="box-sizing: border-box;">Advance Rent Function techniques to manage feature rich lease structures</li></ul> Day FourReal Estate Investor II<ul fr-original-style="" style="box-sizing: border-box;"><li value="1" fr-original-style="" style="box-sizing: border-box;">Introduction to development appraisals</li><li value="2" fr-original-style="" style="box-sizing: border-box;">Residual models, site and profit calculations</li><li value="3" fr-original-style="" style="box-sizing: border-box;">Development cash flows versus Investment cash flows</li><li value="4" fr-original-style="" style="box-sizing: border-box;">Introduction to straight line versus S-curve costing</li><li value="5" fr-original-style="" style="box-sizing: border-box;">Phased asset sales in development appraisals</li><li value="6" fr-original-style="" style="box-sizing: border-box;">Discounting development cash flows</li><li value="7" fr-original-style="" style="box-sizing: border-box;">Complimentary return metrics for development appraisals</li><li value="8" fr-original-style="" style="box-sizing: border-box;">Introduction to development finance</li></ul> Day FiveReal Estate Modelling Masterclass<ul fr-original-style="" style="box-sizing: border-box;"><li value="1" fr-original-style="" style="box-sizing: border-box;">Mezzanine debt modelling</li><li value="2" fr-original-style="" style="box-sizing: border-box;">Joint Venture structures between developers and lender/equity partners</li><li value="3" fr-original-style="" style="box-sizing: border-box;">Promote and profit share structure calculations</li><li value="4" fr-original-style="" style="box-sizing: border-box;">Advance project cash flows with mezzanine debts</li><li value="5" fr-original-style="" style="box-sizing: border-box;">Key Real Estate and investment risks, risk adjustment of exit yields</li><li value="6" fr-original-style="" style="box-sizing: border-box;">Sensitivity and Scenario Analysis</li><li value="7" fr-original-style="" style="box-sizing: border-box;">Monte Carlo Analysis</li></ul> Included in the Course<ul fr-original-style="" style="box-sizing: border-box;"><li value="1" fr-original-style="" style="box-sizing: border-box;">CPD Accredited Certificate &amp; LinkedIn Proficiency Badge</li><li value="2" id="isPasted" fr-original-style="" style="box-sizing: border-box;">Course Manual - In-Person Course attendees will receive a Physical Copy, Virtual Course attendees will receive a Virtual Copy and have the option to purchase a Hard Copy at an additional fee</li><li value="3" fr-original-style="" style="box-sizing: border-box;">Course Files</li><li value="4" fr-original-style="" style="box-sizing: border-box;">Online Learning Platform access - Further Learning Resources (Reading, Files and Videos)</li><li value="5" fr-original-style="" style="box-sizing: border-box;">Post Course Support - Two Months of Questions &amp; Answers, and One year of support is available for an additional fee</li></ul> For more information about the Real Estate Financial Modelling School such as course delivery methods, pricing and dates, please contact Sam on the Bayfield Training Sales team:E - s.musgrave@bayfieldtraining.comT - 01223 517851W - <a href="https://www.bayfieldtraining.com/" target="_blank" rel="nofollow noopener noreferrer ugc" title="https://www.bayfieldtraining.com/" data-airgap-id="125" fr-original-style="" style="user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;">www.bayfieldtraining.com</a>



Real Estate Financial Modelling School (5 days)
The Real Estate Financial Modelling School is an intensive week meticulously designed to teach the best practices to create flexible and robust cash flows in Excel.
This week long CPD accredited training is ideal for those Real Estate professionals, who are looking to bolster the DCF modelling skills. This course covers Real Estate Investment, Development, Finance & Risk.
The school combines three of our courses:
Real Estate Analyst
Real Estate Investor
Real Estate Modelling Masterclass


All of the courses are interlinked to give you a full understanding of the subject using Excel.


On this course you will…
Implement cash flows in excel throughout the whole week.
In the first two days you will learn how to develop rent functions and net operating income. We will show you how to value and appraise property investments and analyse the results.
On the third and fourth day you will learn how to model and analyse development projects using both residuals and cash flow methods. It will show you how to interrogate and compare alternative return metrics such as profit-equity multiples, profit and cost, net present value, worth and internal rate of return. Additionally you will cover how to model cash flow from different sector office, retail and leisure.
Finally on the fifth day debt structures will be covered as well as joint ventures and partnership financing. You will also learn how to implement the full spectrum of the risk analysis from sensitivity to Monte Carlo.


Who will benefit from this school?
Real Estate professionals at any level with exposure to real estate financial models on a frequent basis
Junior or new Real Estate Analysts who would like to start building their own real estate models quickly, rather than relying solely on coaching from existing team members
Mid-level to senior Real Estate Analysts
Real Estate Managers who would like to gain an understanding of the dynamics of debt and financial return fluctuations in more detail
Property industry modellers who would like to be fully proficient in building complex financial models


Course Outline
Day One
Real Estate Analyst I
Know how to build a property asset cash flow, analyse geared, and un-geared IRRs.
Term & Reversion and Layer Method Valuation (Intro to Excel)
Equivalent Yield (Solver, Scenario and Goal Seek functions)
Single-Let Discounted Cash Flow
Cash Flow inputs (Rents, Yields, Growth Rates, Target Returns)
Analysis and use of date series
Internal Rate of Return (IRR) and Net Present Value (NPV)
Comparing Value, Price and Worth
Adding borrowing and analysing geared returns
Introducing Rent Reviews and other ‘events’ into cash flows
The ‘Rent Function’ concept and Logic functions (IF,OR,AND)
Sensitivity analysis


Day Two
Real Estate Analyst II
Know how to build a multi-let property cash flow and apply the concepts on a hypothetical case study.
The ‘Rent Function’ and Multi-let cash flows
The ‘date problem’ and assumptions in property asset cash flows
Reducing the rent function, intermediate calculations and modelling theory
Modelling lease expiries, break clauses, voids, and upward only covenants
Incorporating time-varying rental growth rates
Analysing multi-let cash flows to see if the leases are sufficiently diversified
Further IRR analysis (XIRR, MIRR)


Day Three
Real Estate Investor I
Modelling international variations in real estate income streams i.e. Includes indexation patterns, rent caps, discounts / premiums to indexation, rent free periods, as well as how to deal with costs during vacancy
Modelling sector variations in real estate income streams i.e. Office versus industrial, retail & leisure
Further senior debt covenants
Advance Rent Function techniques to manage feature rich lease structures


Day Four
Real Estate Investor II
Introduction to development appraisals
Residual models, site and profit calculations
Development cash flows versus Investment cash flows
Introduction to straight line versus S-curve costing
Phased asset sales in development appraisals
Discounting development cash flows
Complimentary return metrics for development appraisals
Introduction to development finance


Day Five
Real Estate Modelling Masterclass
Mezzanine debt modelling
Joint Venture structures between developers and lender/equity partners
Promote and profit share structure calculations
Advance project cash flows with mezzanine debts
Key Real Estate and investment risks, risk adjustment of exit yields
Sensitivity and Scenario Analysis
Monte Carlo Analysis


Included in the Course
CPD Accredited Certificate & LinkedIn Proficiency Badge
Course Manual - In-Person Course attendees will receive a Physical Copy, Virtual Course attendees will receive a Virtual Copy and have the option to purchase a Hard Copy at an additional fee
Course Files
Online Learning Platform access - Further Learning Resources (Reading, Files and Videos)
Post Course Support - Two Months of Questions & Answers, and One year of support is available for an additional fee


For more information about the Real Estate Financial Modelling School such as course delivery methods, pricing and dates, please contact Sam on the Bayfield Training Sales team:
E - s.musgrave@bayfieldtraining.com
T - 01223 517851
W - www.bayfieldtraining.com

Bayfield Training

Real Estate Finance

Microsoft Excel

Professional Development

Continuous Professional Development (CPD)

This week long CPD accredited training is ideal for those Real Estate professionals, who are looking to bolster the DCF modelling skills. This course covers Real Estate Investment, Development, Finance & Risk.

Real Estate Financial Modelling School

Southampton

Portsmouth

Rotherham

Manchester

Leeds

Bingley

Kingston upon Hull

Newport

Peterborough

Milton Keynes 

Dartford

Paisley

Derby

Birmingham

Luton

Hull

Northampton

Berkshire

Bedford

Liverpool 

Swansea

Essex

BASIC to ADVANCED COURSE PACKAGE

Complete 3 courses over 2 full days and receive three qualifications:

Introduction to Phlebotomy Certificate (Nationally Recognised Level 3, Ireland Level 5)
Days 1 and 2: 9.30am – 5.00pm

Advanced Phlebotomy Certificate (Nationally Recognised Level 4, Ireland Level 6)
Day 1: 5.30pm - 8.30pm

Geopace Certificate of Competency (Nationally Recognised Accredited, CPD Practical Skills)
Day 2: 5.30pm - 8.30pm

Please make sure you verify the precise dates and timings of your course when you receive your booking confirmation, as it may vary from the information provided above.






Key Facts & Summary:


COURSE 1: INTRODUCTION TO PHLEBOTOMY COURSE - NATIONALLY RECOGNISED AND ACCREDITED VENEPUCTURE COURSE
UK Level Three (Ireland Level Five)
DUALLY ACCREDITED - Open College Network (OCN) and The CPD Certification Service (21 CPD Points)

PART 1 (DAY 1) - 9.30am to 5.00pm
PART 2 (DAY 2) - 9.30am to 5.00pm

Adheres to World Health Organisation guidelines (meets or exceeds all guidelines) and Skills for Health Directive HSC376

A TWO DAY venepuncture course at Level 3. Trains up to the point of live blood draws.

On completion awards a Nationally Recognised and Accredited Certificate in Phlebotomy.

DAY ONE (PART 1) - THEORY
Attend the course location of your choice – starts at 9.30am and finishes approx. 5.00pm

DAY TWO (PART 2) - CLASSROOM
Your classroom tutor will recap on the theory element (above) after which you will begin your practical sessions learning and developing the skills required up to the point of Live Blood Draws.

DOWNLOAD A COURSE ITINERARY HERE



COURSE 2: ADVANCED PHLEBOTOMY COURSE - NATIONALLY RECOGNISED AND ACCREDITED VENEPUCTURE COURSE
UK Level Four (Ireland Level 6)
DUALLY ACCREDITED - Open College Network (OCN) and The CPD Certification Service (14 CPD Points)

PART 1 - THEORY
Complete your theory training online in the comfort of your own home or at work.

PART 2 - CLASSROOM
Follow on from your Day One Theory training, in the evening, from 5.30pm - 8.30pm

Adheres to World Health Organisation guidelines (meets or exceeds all guidelines) and Skills for Health Directive HSC376

Skills and Practical Development:
Covers advanced specialised phlebotomy techniques to give you the leading edge as a phlebotomist. Learn to use a wide range of non-routine equipment.

On completion awards a Nationally Recognised and Accredited Certificate in Advanced Phlebotomy.

DOWNLOAD A COURSE ITINERARY HERE



COURSE 3: ROUTE TO COMPETENCY MASTERCLASS
CPD ACCREDITED - The CPD Certification Service

CLASSROOM
Follow on from your Day Two practical training, in the evening, from 5.30pm - 8.30pm

Adheres to World Health Organisation guidelines (meets or exceeds all guidelines) and Skills for Health Directive HSC376

GEOPACE LIVE BLOOD SESSIONS enabling you to draw human blood under 1-to-1 supervision of your tutor. You will follow a Competency Checklist, signed off by your tutor on completion.

On completion awards a Geopace Certificate of Competency - Nationally Recognised and Accredited Route to Competency - Live Blood Draws Certificate

DOWNLOAD A COURSE ITINERARY HERE




How do I attend?

EITHER -
CLASSROOM OPTION - Attend one of our scheduled classroom locations, completing your Introduction to Phlebotomy Course over 2 days. You will also complete your Advanced Training at the end of the first day and your Competency Training at the end of the second day.

Our Introduction to Phlebotomy and Advanced Phlebotomy Training Kits are supplied at no charge when booking our virtual classroom training option.
If you would like to add one or both of these kits to your classroom training option then these are available to add at time of booking. Our comprehensive training kits each mirror the same equipment and supplies used in the classroom and both include detailed video tutorials, allowing you to continue to practice and "hone" your skills after you have completed your practical training.

OR -

VIRTUAL CLASSROOM OPTION- Complete your theory training online at home or work, then join us for a one day Zoom session to complete your Introduction to Phlebotomy virtual classroom training, followed by your Advanced Training in the evening of the same day. You have the option to add a classroom-based competency session, awarding a CPD Accredited Geopace Certificate of Competency, at time of booking.

Our Virtual Classroom option includes two very comprehensive training kits - one for your introductory course and one for your advanced course. Kits are included at no charge (normally £79.95 each) and are yours to keep and to continue to practice with after you have finished your courses. The equipment and supplies included in your kits are the same as those used if you choose the classroom option.

How do I book?

Choose whether you would like to attend in a classroom or if you would like to complete your training by virtual classroom.
Click on the Classroom - Booking Options or Virtual Classroom - Booking Options buttons below to see all upcoming dates and locations.

Please note - Competency Training
Our Route to Competency Masterclass - Live Blood Sessions can only be completed in a classroom environment. This is included when you book a classroom option. When booking the virtual classroom option you can choose to add this at time of booking. You will receive a voucher code to enable you to book onto any upcoming dates or locations. For most of our two day course we run our competency training at the end of the second day and therefore you should be able to complete your full training programme with us over two days.

If you are completing your training by virtual classroom please see our list of competency training locations here.

If you would like to "mix and match" your training dates and/or locations then please call our admin team on 01525 713377 who will be more than happy to put a training package together for you on dates and / or locations that suit you.

All courses are accredited and are Skills for Health & WHO compliant.

Geopace Training

Allied Health

Allied Health Professions (AHP)

Blood Taking

Healthcare Workers

Venepuncture

Phlebotomist

Phlebotomy

Accredited Phlebotomy

Healthcare

THIS COURSE PACKAGE INCLUDES:
1: INTRODUCTION TO PHLEBOTOMY COURSE (GPT003) - Level 3 (Ireland Level 5)
2: ADVANCED PHLEBOTOMY COURSE (GPT005) - Level 4 (Ireland Level 6)
3: GEOPACE COMPETENCY CERTIFICATE - CPD Certified (optional with Virtual Classroom)

Learn how to take blood ... train as a Phlebotomist

FAST-TRACK YOUR PHLEBOTOMY TRAINING

WITH OUR

COMPLETE TRAINING PACKAGE

20% off -  Multi-Course Discount

    Cover all stages from beginner through to Level 4

    Available as Classroom or Virtual Classroom

    Complete your beginner to advanced training in 2 days

    Awards 2 accredited qualifications - Introduction to Phlebotomy and Advanced Phlebotomy qualifications

    Both courses are dually accredited (OCN & CPD)

    Geopace Certificate of Competency included with classroom attendance or available as an option when booking virtual classroom

    Covers all steps up to live blood draw

    Learn advanced skills and techniques

    Virtual Classroom options include comprehensive Practise@Home Training Kits (yours to keep)

    Basic understanding of English language required

    OPEN TO ALL APPLICANTS


Phlebotomy Training - Beginner to Advanced PACKAGE

Sixty minute webinar on rally regularity timing for jogularity and regularity in styles where a full average speed time schedule is provided. The competitive component of on the public highway historic road rallying, focusing on jogularity style timing. Ideal for competitors on events such as HERO Challenge, Rally the Globe events or Three Castles.

Join our exclusive 60-minute webinar on rally regularity timing, designed to give an introduction to regularities in the jogularity or cumulative speed table styles. Learn how to navigate a full average speed time schedule and master the competitive aspects of historic road rallying on public highways. This session focuses on the processes required to understand and use the supplied time schedules, perfect for those competing in events like the HERO Challenge, Rally the Globe, and Three Castles. Whether you're a seasoned competitor or looking to sharpen your skills, this webinar will equip you with the strategies you need to succeed.


Rally Navigation Training Services

Sports & Fitness

Historic Road Rallying training webinar on Regularity focusing on the Jogularity and Cumulative Speed Table styles.

Rally Navigation - Introduction to Regularity Timing

Targa Rally Webinar: Your Complete Guide to Getting Started
Are you curious about Targa Rallies and eager to dive into the excitement? This engaging webinar is your ultimate introduction to the world of Targa Rallies, designed for newcomers and enthusiasts alike.
What You’ll Learn:
The Basics of Targa Rallies: Discover the essential requirements to get started.
Events & Championships: Explore the wide range of Targa Rallies and championships available across the UK.
Timing & Navigation: Gain a clear understanding of how timing and navigation work in these events.
Special Tests: Learn what special tests are and how to tackle them with confidence.
Delivered by Motorsport UK Coach and Targa Rally Organiser Graham Raeburn, this webinar provides expert insights and practical advice to help you embark on your Targa Rally journey.
Join us to kickstart your rallying adventure!

Motorsport

Discover the world of Targa Rallies! Join our expert-led webinar to learn the basics, explore events and championships, and master timing, navigation, and special tests. Perfect for beginners!

Introduction to Targa Rallies

Broxburn

C01M01 - FD&amp;FA Foundation Fundamentals - BS5839-1This is a gateway course for all further learning in FD&amp;FA systems. Learners are introduced to the requirements of BS 5839-1. The module includes basic principles of fire safety and an introduction to FD&amp;FA systems requirements within the boundaries of the various legal frameworks within the UK.This is module 1 of 5 which can lead to an RQF L3 Award in the Requirements of FD&amp;FA Systems for non-domestic buildings BS 5839-1: 2017.Who should attend?Anyone involved in the procurement, delivery, and checking, of FD&amp;FA systems and those who have any responsibility for fire safety within a building e.g., architects, service managers, building/property managers, consultants, fire risk assessors, electrical contractors, fire alarm contractors, interested parties (F&amp;RS, building control, insurers)Content<ul id="isPasted" style="color: rgb(63, 77, 90); box-sizing: border-box;" fr-original-style=" color: rgb(63, 77, 90);"><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Legislation / standards,</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">BS 5839-1: 2017<ul style="font-size: initial; box-sizing: border-box;" fr-original-style="font-size: initial;"><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Section 1 &ndash; General</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Section 2 &ndash; Design</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Section 3 &ndash; False alarms</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Section 4 &ndash; Installation</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Section 5 &ndash; Commissioning</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Section 6 &ndash; Maintenance</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Section 7 &ndash; User responsibilities</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Annexes A-G</li></ul></li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Assessment</li></ul><img src="https://images.cademy.co.uk/88d338d8-7dc4-4054-bf9e-401495774eee/5293624b-3258-4be0-b61f-1d0469f76c49/original.png" style="width: 300px; display: block; vertical-align: top; margin: 5px auto; text-align: center; cursor: auto; padding: 0px 1px; user-select: none; max-width: 100%; position: relative; box-sizing: border-box;" fr-original-style="width: 300px; display: block; vertical-align: top; margin: 5px auto; text-align: center; cursor: auto;" fr-original-class="fr-draggable">

C01M01 - FD&FA Foundation Fundamentals - BS5839-1
This is a gateway course for all further learning in FD&FA systems. Learners are introduced to the requirements of BS 5839-1. The module includes basic principles of fire safety and an introduction to FD&FA systems requirements within the boundaries of the various legal frameworks within the UK.

This is module 1 of 5 which can lead to an RQF L3 Award in the Requirements of FD&FA Systems for non-domestic buildings BS 5839-1: 2017.

Who should attend?
Anyone involved in the procurement, delivery, and checking, of FD&FA systems and those who have any responsibility for fire safety within a building e.g., architects, service managers, building/property managers, consultants, fire risk assessors, electrical contractors, fire alarm contractors, interested parties (F&RS, building control, insurers)

Content
Legislation / standards,
BS 5839-1: 2017
Section 1 – General
Section 2 – Design
Section 3 – False alarms
Section 4 – Installation
Section 5 – Commissioning
Section 6 – Maintenance
Section 7 – User responsibilities
Annexes A-G
Assessment



Ember Compliance

Fire Safety

Fire Safety Awareness

Fire Alarm

Engineer

This is a gateway course for all further learning in FD&FA systems.

C01M01 - FD&FA Fundamentals - BS 5839-1 (online)

Droitwich Spa

ONLINE STUDY - In your own time (approx. 6 hours study time) +
CLASSROOM SESSION - Morning, Afternoon or Evening session (approx. 3 hours)



Awarding Body: Open College Network (OCN) Credit for Learning
Award Level: Level 4 (Foundation Degree Level) - Ireland Level 6
CPD Certified: Yes (CPD Accreditation)
Minimum Age: 18 (16 with parental consent)
Entry requirements: None. (English Level 2 desirable)
Training Locations: Study online + Classroom
 
OCN Accredited at UK Level 4 (Ireland Level 6)

 
PART 1 - Theory: Complete this part of your course online at home or work in your own time (stop and start learning when it suits you). Can be completed on multiple devices - smart phones, kindle, laptop, tablet etc.

PART 2 - Skills and Practical Development:
Covers advanced specialised phlebotomy techniques to give you the leading edge as a phlebotomist. Learn to use a wide range of non-routine equipment.


Attend a classroom location to complete your practical training.


Please make sure you verify the precise dates and timings of your course when you receive your booking confirmation, as it may vary from the information provided above.


Course Itinerary:
PART 1 - THEORY (ONLINE)
M00 - Introduction:
Learning outcomes, Assumptions and Overview.
M01 - Basic Phlebotomy - revision:
Recap of basic phlebotomy theory and practice - precursor to
the advanced course.
M02 - Aspirated and Vacuated Systems:
Open systems (Syringe & Needle), closed systems (Vacutainer & Monovette), Alternative closed systems, Using Monovette - aspiration and evacuated techniques, monovette adapter systems.
M03 - Specialised and Advanced Phlebotomy Equipment:
The centrifuge - overview. Safe operation and use. Managing a centrifuge breakage or spillage.
Equipment and practices in unusual situations.
Patients with special needs and requiring specific attention.
Equipment preparation for blood samples that are collected at
0 degrees, 37 degrees C and other non-standard conditions.
A look at advances in technology and how to use the latest devices.
M04 - Point of Care Testing:
What is POC Testing? Advantages, Disadvantages and Clinical
Outcomes. Comparison of POC with lab testing. 10 common POC tests. Roles for phlebotomists performing POC Tests.
M05 - Neonates and Children:
Sample collection from new-born to pre-adult. A detailed overview of legal principles of law including child consent and child protection for phlebotomists. Neonatal and child blood collection equipment.
A comprehensive look at heel and finger-prick procedures including
microtainers, lancets and capillary tube collection. Detailed heel prick procedure. Paediatric finger prick collection. The life-threatening hazard of over-collecting. Communication techniques in differing age bands.
Consent and the law. Basic principles of lawful consent for neonates and paediatric patients. Child protection.
Detailed analysis of neonatal and paediatric blood collection including Guthrie card collection. Neonatal bottles - colours and tests. Paediatric blood gases collection.
Butterfly needles - when to use. Blood tests during pregnancy. Neonatal blood screening - nine conditions covered. Bilirubin in neonates.
M06 - Geriatric Patients:
The challenges of phlebotomy in older people. Understanding skin changes and venepuncture implications. A profile of common
geriatric blood tests. Age related problems. Procedural precautions.
M07 - Special Procedures:
Drawing blood from back of hand. Drawing blood from lower limb veins. Managing the unwilling or difficult patient. Managing the psychiatric patient. Managing the isolated patient. Non-routine blood tests. Managing the latex allergy patient (type 1 and type 4 reactions). Latex indicators. Sample handling - non-routine procedures. Drug trials and research projects.
M08 - Special Tests and Sample Handling Procedures:
A look at sample collection at specific times of day and night,
samples that are protected from light, collected on ice and
collected at body temperature. Procedures for each group - collection notes, analytic time, optimal collection time and notes for each group.
M09 - Advanced Phlebotomy Tasks:
Additional procedures. Maintaining POC equipment. Stock control and stock rotation. Quality control. Data entry. Product evaluation. Training and competency evaluation.
M10 - Alternative Environments:
A step-by-step look at non-clinical phlebotomy environments including private testing, DEFRA, forensic and police, cord blood collection, DNA analysis, veterinary services, overseas and volunteering.

PLEASE NOTE THAT PART 1 SHOULD BE COMPLETED
BEFORE JOINING US FOR YOUR PRACTICAL TRAINING

PART 2 (CLASSROOM)
MORNING , AFTERNOON OR EVENING SESSION:

1 - Welcome, introductions and overview:
- Classroom - health & safety briefing, schedule overview.
- Virtual Classroom - audio/visual checks and registration. Unpacking and overview of your training kit.
2 - Syringe and Needle (open system): Correct use and applications.
3 - Monovette (open and closed systems):
Using the Monovette system in aspiration mode - correct use and applications.
Using the Monovette system in evacuated mode - correct use and applications.
4 - IR Vein Detector:
Demonstration of the IR vein detector for assisting in detection of difficult veins.
5 - Veins in back of hand:
Detecting suitable veins in the back of the hand.
6 - POC testing:
Point of Care Testing - use of glucose meter to demonstrate a typical POC test procedure. Correct use and overview of other POC test devices.
7 - Using lancets (finger collection)
We look at the correct use of lancets for POC testing and whole blood micro-collection.
8 - Using lancets (heel collection)
We look at the correct use of lancets for neonatal blood spot tests (Guthrie Test).
9 - Capillary collection
Using glass capillary tubes for micro-collection. Correct use and handling.
10 - Microtube collection
Correct use of BD Microtainers (and similar micro-collection bottles) - collection and handling.

This course is supported with downloadable resources and may include extra video segments to reinforce your practical training.
 
(THE COURSE DELIVERY AWARDS SAME NATIONALLY RECOGNISED AND DUALLY ACCREDITED QUALIFICATION AS OUR VIRTUAL CLASSROOM COURSE VERSION)



The UK's first and only Level 4 qualification in Phlebotomy (equivalent to Ireland Level 6)

    FDSc (Foundation Degree Level) qualification

    Nationally Recognised certificate

    Dually accredited: Open College Network  and CPD

    Covers both aspirated and evacuated systems

    Covers specialised blood collection systems & methods

    Classroom or Virtual Classroom learning options

    Comprehensive Training Kit is provided when booking our Virtual Classroom option (yours to keep)

    Complete your training from beginner to advanced level

    This course either follows on from our Introduction to Phlebotomy Course  or can be combined with our introductory course as part of a course package (see below)

    Available to candidates who have completed (or are currently enrolled to complete) our Introduction to Phlebotomy Course or have previous phlebotomy practical experience.


Advanced Phlebotomy - Skills & Techniques (GPT005)

Welcome to Introduction to Urban Planning: Process and Practices. In this course, you&#39;ll learn:<ol style="color: rgb(236, 236, 236); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(236, 236, 236);"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Urban Planning Fundamentals:<ul style="color: initial; box-sizing: border-box;" fr-original-style="color: initial;"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Definition and scope of urban planning</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Historical evolution of urban planning</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Key theories and principles in urban planning</li></ul></li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Process of Urban Planning:<ul style="color: initial; box-sizing: border-box;" fr-original-style="color: initial;"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Stages and phases of the urban planning process</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Stakeholder engagement and community involvement</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Decision-making and implementation in urban planning</li></ul></li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Urban Planning Policies and Regulations:<ul style="color: initial; box-sizing: border-box;" fr-original-style="color: initial;"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Analysis of zoning regulations</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Land use planning and policy development</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Legal frameworks influencing urban planning decisions</li></ul></li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Urban Infrastructure and Transportation Planning:<ul style="color: initial; box-sizing: border-box;" fr-original-style="color: initial;"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Infrastructure planning and development</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Transportation systems and their integration</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Sustainable urban mobility solutions</li></ul></li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Urban Design and Landscape Planning:<ul style="color: initial; box-sizing: border-box;" fr-original-style="color: initial;"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Principles of urban design</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Integration of green spaces in urban areas</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Aesthetic considerations in city planning</li></ul></li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Residential Buildings and Neighbourhood Planning:<ul style="color: initial; box-sizing: border-box;" fr-original-style="color: initial;"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Housing policies and guidelines</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Neighbourhood design and community development</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Affordable housing initiatives</li></ul></li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Street Design and Transportation Planning:<ul style="color: initial; box-sizing: border-box;" fr-original-style="color: initial;"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Street layout and design principles</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Traffic management and safety measures</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Complete streets concept</li></ul></li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Parks, Open Spaces, and Recreation Planning:<ul style="color: initial; box-sizing: border-box;" fr-original-style="color: initial;"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Planning for public parks and recreational areas</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Preservation of open spaces</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Strategies for promoting recreational opportunities in urban areas</li></ul></li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Environmental Considerations in Urban Planning:<ul style="color: initial; box-sizing: border-box;" fr-original-style="color: initial;"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Environmental impact assessments</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Sustainable land use practices</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Climate-resilient urban planning strategies</li></ul></li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Sustainable Urban Planning Practices:<ul style="color: initial; box-sizing: border-box;" fr-original-style="color: initial;"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Green building initiatives</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Renewable energy integration</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Eco-friendly transportation solutions</li></ul></li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Future Trends in Urban Planning:<ul style="color: initial; box-sizing: border-box;" fr-original-style="color: initial;"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Smart city concepts and technologies</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Innovative urban planning strategies</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Anticipated changes in urban planning approaches</li></ul></li></ol>

Welcome to Introduction to Urban Planning: Process and Practices. In this course, you'll learn:
Urban Planning Fundamentals:Definition and scope of urban planningHistorical evolution of urban planningKey theories and principles in urban planning
Process of Urban Planning:Stages and phases of the urban planning processStakeholder engagement and community involvementDecision-making and implementation in urban planning
Urban Planning Policies and Regulations:Analysis of zoning regulationsLand use planning and policy developmentLegal frameworks influencing urban planning decisions
Urban Infrastructure and Transportation Planning:Infrastructure planning and developmentTransportation systems and their integrationSustainable urban mobility solutions
Urban Design and Landscape Planning:Principles of urban designIntegration of green spaces in urban areasAesthetic considerations in city planning
Residential Buildings and Neighbourhood Planning:Housing policies and guidelinesNeighbourhood design and community developmentAffordable housing initiatives
Street Design and Transportation Planning:Street layout and design principlesTraffic management and safety measuresComplete streets concept
Parks, Open Spaces, and Recreation Planning:Planning for public parks and recreational areasPreservation of open spacesStrategies for promoting recreational opportunities in urban areas
Environmental Considerations in Urban Planning:Environmental impact assessmentsSustainable land use practicesClimate-resilient urban planning strategies
Sustainable Urban Planning Practices:Green building initiativesRenewable energy integrationEco-friendly transportation solutions
Future Trends in Urban Planning:Smart city concepts and technologiesInnovative urban planning strategiesAnticipated changes in urban planning approaches

John Academy

Urban Planning

Explore the intricate world of urban planning with our "Introduction to Urban Planning: Process and Practices" course. Gain insights into key topics such as sustainable development, infrastructure planning, and transportation design. Discover the foundations of urban design, environmental considerations, and future trends shaping our cities. Join us in unraveling the complexities of community engagement, policy development, and innovative strategies for building resilient, smart, and sustainable urban environments. Enroll now for a transformative journey into the heart of city development and planning.

Introduction to Urban Planning: Process and Practices

The Real Estate Investor course primarily focuses on financial modelling and commercial considerations in the real estate industry across various sectors, geographies, and project types. This course is designed to provide participants with an in-depth understanding of development cash flow modelling, including the representation of risks associated with costs, methods of development financing, and considerations of investment assets.Apart from modelling office sectors, the course includes modelling of commercial residential development and retail investment assets. The course also expands the geographical investment universe to include modelling of real estate cash flows in a pan-European context, accounting for different indexation rules and methods.Overall, the Real Estate Investor course provides participants with advanced skills and knowledge required to successfully undertake real estate investment projects in a global context. Pre-requisite:<ul fr-original-style="" style="box-sizing: border-box;"><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Completion of the Real Estate Analyst Course</li></ul> On this course you will&hellip;<ul fr-original-style="" style="box-sizing: border-box;"><li value="1" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Revise operational models of real estate assets and stress for core income</li><li value="2" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Apply modelling techniques to an expanded range of real estate sectors and geographies</li><li value="3" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Consider both investment and development cash flows</li><li value="4" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Understand the sources and use of funds</li><li value="5" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Learn about typical debt covenants and how to incorporate them</li><li value="6" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Learn how to optimise debt structures</li></ul> Who will benefit from this course?<ul fr-original-style="" style="box-sizing: border-box;"><li value="1" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Real Estate professionals at any level with exposure to real estate financial models</li><li value="2" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Mid-level to senior Real Estate Analysts who would like to advance their financial modelling skills in areas such as development, debt structures and return metrics</li><li value="3" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Analysts and Modellers who are making the transition from corporate finance to real estate investment and development</li><li value="4" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Real Estate Analysts and Investors</li></ul> Course OutlineDay One<ul fr-original-style="" style="box-sizing: border-box;"><li value="1" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Modelling international variations in real estate income streams i.e. Includes indexation patterns, rent caps, discounts/premiums to indexation, rent free periods, as well as how to deal with costs during vacancy</li><li value="2" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Modelling sector variations in real estate income streams i.e. Office versus industrial, retail &amp; leisure</li><li value="3" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Further senior debt covenants</li><li value="4" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Advance Rent Function techniques to manage feature rich lease structures</li></ul> Day Two<ul fr-original-style="" style="box-sizing: border-box;"><li value="1" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Introduction to development appraisals</li><li value="2" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Residual models, site and profit calculations</li><li value="3" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Development cash flows versus Investment cash flows</li><li value="4" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Introduction to straight line versus S-curve costing</li><li value="5" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Phased asset sales in development appraisals</li><li value="6" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Discounting development cash flows</li><li value="7" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Complimentary return metrics for development appraisals</li><li value="8" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Introduction to development finance</li></ul> Included in the Course<ul fr-original-style="" style="box-sizing: border-box;"><li value="1" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">CPD Accredited Certificate &amp; LinkedIn Proficiency Badge</li><li value="2" id="isPasted" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Course Manual - In-Person Course attendees will receive a Physical Copy, Virtual Course attendees will receive a Virtual Copy and have the option to purchase a Hard Copy at an additional fee</li><li value="3" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Course Files</li><li value="4" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Online Learning Platform access - Further Learning Resources (Reading, Files and Videos)</li><li value="5" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Post Course Support - Two Months of Questions &amp; Answers, and One year of support is available for an additional fee</li></ul> For more information about the Real Estate Investor such as course delivery methods, pricing and dates, please contact Sam on the Bayfield Training Sales team:E - s.musgrave@bayfieldtraining.comT - 01223 517851W - <a href="https://www.bayfieldtraining.com/" target="_blank" rel="nofollow noopener noreferrer ugc" title="https://www.bayfieldtraining.com/" data-airgap-id="125" fr-original-style="" style="user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;">www.bayfieldtraining.com</a>





The Real Estate Investor course primarily focuses on financial modelling and commercial considerations in the real estate industry across various sectors, geographies, and project types. This course is designed to provide participants with an in-depth understanding of development cash flow modelling, including the representation of risks associated with costs, methods of development financing, and considerations of investment assets.
Apart from modelling office sectors, the course includes modelling of commercial residential development and retail investment assets. The course also expands the geographical investment universe to include modelling of real estate cash flows in a pan-European context, accounting for different indexation rules and methods.
Overall, the Real Estate Investor course provides participants with advanced skills and knowledge required to successfully undertake real estate investment projects in a global context.


Pre-requisite:
Completion of the Real Estate Analyst Course


On this course you will…
Revise operational models of real estate assets and stress for core income
Apply modelling techniques to an expanded range of real estate sectors and geographies
Consider both investment and development cash flows
Understand the sources and use of funds
Learn about typical debt covenants and how to incorporate them
Learn how to optimise debt structures


Who will benefit from this course?
Real Estate professionals at any level with exposure to real estate financial models
Mid-level to senior Real Estate Analysts who would like to advance their financial modelling skills in areas such as development, debt structures and return metrics
Analysts and Modellers who are making the transition from corporate finance to real estate investment and development
Real Estate Analysts and Investors


Course Outline
Day One
Modelling international variations in real estate income streams i.e. Includes indexation patterns, rent caps, discounts/premiums to indexation, rent free periods, as well as how to deal with costs during vacancy
Modelling sector variations in real estate income streams i.e. Office versus industrial, retail & leisure
Further senior debt covenants
Advance Rent Function techniques to manage feature rich lease structures


Day Two
Introduction to development appraisals
Residual models, site and profit calculations
Development cash flows versus Investment cash flows
Introduction to straight line versus S-curve costing
Phased asset sales in development appraisals
Discounting development cash flows
Complimentary return metrics for development appraisals
Introduction to development finance


Included in the Course
CPD Accredited Certificate & LinkedIn Proficiency Badge
Course Manual - In-Person Course attendees will receive a Physical Copy, Virtual Course attendees will receive a Virtual Copy and have the option to purchase a Hard Copy at an additional fee
Course Files
Online Learning Platform access - Further Learning Resources (Reading, Files and Videos)
Post Course Support - Two Months of Questions & Answers, and One year of support is available for an additional fee


For more information about the Real Estate Investor such as course delivery methods, pricing and dates, please contact Sam on the Bayfield Training Sales team:
E - s.musgrave@bayfieldtraining.com
T - 01223 517851
W - www.bayfieldtraining.com

Financial Modelling

Financial Analysis

Financial Risk Management

The Real Estate Investor course primarily focuses on financial modelling and commercial considerations in the real estate industry across various sectors, geographies, and project types.

Real Estate Investor (Advanced Development Cash Flow Modelling in Excel)

Bedfordshire

Course Summary

Managing Pesticides in Fresh Produce training is aimed at Technical Managers who have regular contact with retailers in the UK. 

The course will be highly participative and will use practical examples to enable learning to be easily applied to real business situations.

Key learning objectives

Know the different types of pesticides, how they work and methods of application
Understand EU pesticide legislation, how its implementation affects us now and what is expected in the future
Ability to take representative samples for residue testing and interpret results
Evaluate laboratories to select the most appropriate and understand how the analysis is conducted
Analyse data to develop a residue testing plan and risk-assess suppliers

​Who should attend

Technical Managers in Fresh Produce working with UK retailers
Those in charge of Supplier Approval in Fresh Produce

​Pre-requisites

There are no entry requirements to this course.

Programme Outline

Discovery, Safety and Legislation
Testing, Alerts and Laboratory Selection
Sampling procedures
The Good and Bad of farm visits
Certification, GAP, Organics and PPUs
Residue Testing Plans and Risk Assessment
Crisis management of residue exceedance
Knowledge Check Quiz
Conclusions & Close

Instructor credentials

This training course is delivered by qualified and experienced trainers. This is our lovely team of trainers.

ASK SONIA LTD

Health & Hygiene

Food Safety

Food Science

Food & Hygiene

Food Handling

HACCP

This course provides a comprehensive introduction to foodborne viruses, focusing on their properties, transmission, and impact on food safety. Designed for professionals at all levels, it covers detection methods, contamination risks, and prevention strategies to help businesses mitigate viral threats in food supply chains. Delivered by an industry expert, the course includes an interactive Q&A session for deeper insights. No prior knowledge is required.

Food Safety Course: Managing Pesticides in Fresh Produce

<ul style="color: rgb(36, 30, 92); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(36, 30, 92);"><li fr-original-style="" style="box-sizing: border-box;">Key Components</li><li fr-original-style="" style="box-sizing: border-box;">Case study work (throughout)</li><li fr-original-style="" style="box-sizing: border-box;">Introduction to Motivational Interviewing</li><li fr-original-style="" style="box-sizing: border-box;">MI Strategies</li><li fr-original-style="" style="box-sizing: border-box;">Facilitating Behaviour Change</li><li fr-original-style="" style="box-sizing: border-box;">Care Act 2014</li><li fr-original-style="" style="box-sizing: border-box;">Cognitive Behavioural interventions</li><li fr-original-style="" style="box-sizing: border-box;">Outcomes are policy and practice tools as well as an action plan</li></ul>

Key Components
Case study work (throughout)
Introduction to Motivational Interviewing
MI Strategies
Facilitating Behaviour Change
Care Act 2014
Cognitive Behavioural interventions
Outcomes are policy and practice tools as well as an action plan

HoardingUK

Motivational Interviewing

Motivational Interviewing for Hoarding Behaviour

This is usable by invitation only.  If used without this, the booking will be cancelled.

17064 Courses delivered On Demand

Python Data Science - QLS Machine Learning

By Kingston Open College

Level 7 Diploma in Train the Trainer - QLS Endorsed

By Kingston Open College

Oracle Database Administration from Zero to Hero

By Packt

Level 7 Diploma in KS1 and KS2 Teaching Assistant - QLS Endorsed

By Kingston Open College

Level 5 Diploma in Security Management - QLS Endorsed

By Kingston Open College

ChatGPT_ A Beginner Crash Course on ChatGPT

By Kingston Open College

The Complete Product Management Fundamentals

By Packt

Level 7 Diploma in EYFS and Key Stage 1 & 2 Teaching Assistant - QLS Endorsed

By Kingston Open College

Recommender Systems with Machine Learning

By Packt

Linux Operating System: A Complete Linux Guide for Beginners

By Packt