25386 Courses in Liverpool delivered On Demand

Our comprehensive program is meticulously crafted to equip you with the essential skills and knowledge required to thrive in your chosen field. Developed by seasoned professionals with years of industry experience, this course is ideal for those seeking to kickstart their careers or enhance their existing skill set. Featuring an engaging audio-visual presentation and easily digestible modules, our program facilitates a self-paced learning experience. Our dedicated online support team is available on weekdays to provide assistance throughout your journey. Key Learning Outcomes: Grasp the fundamentals and their practical applications. Cultivate the necessary skills for success in your field. Apply newfound knowledge to real-world scenarios. Develop effective solutions for relevant topics. Elevate your employability and career prospects.   Designed to give you a competitive edge in the job market, this course offers lifetime access to materials and the flexibility to learn at your own pace, from the comfort of your home. Why Choose Us? Learn at your own pace with 24/7 online access to course materials. Benefit from full tutor support available Monday through Friday. Acquire essential skills in the convenience of your home through informative video modules. Enjoy 24/7 assistance and advice via email and live chat. Study on your preferred device - computer, tablet, or mobile. Gain a thorough understanding of the course content. Improve professional skills and earning potential upon completion. Access lifetime course materials and expert guidance. Enjoy the convenience of online learning with flexible schedules. Why Enroll in This Course? Our program provides a comprehensive introduction to the subject matter, laying a solid foundation for further study. It empowers students to acquire knowledge and skills applicable to both their professional and personal lives. Assessment: The course incorporates quizzes to evaluate your understanding and retention of the material. These quizzes pinpoint areas for further practice, allowing you to review course materials as needed. Successfully passing the final quiz qualifies you for a certificate of achievement. Career Path: Our course is meticulously designed to equip you for success in your chosen field. Upon completion, you'll have the qualifications to pursue diverse career opportunities across various industries. Course Content Building Quantity Surveying & Land Laws UK Module 1. Introduction to Quantity Surveying Module 2. Building / Construction Economics Module 3. Tools and Techniques of Surveying Module 4. Surveying Instrumentation Module 5. Building Information Modelling (BIM) Module 6. Area Measurement Module 7. Measurement Volumes Module 8. Levelling Module 9. Contouring Module 10. Distance Measurement

Our comprehensive program is meticulously crafted to equip you with the essential skills and knowledge required to thrive in your chosen field. Developed by seasoned professionals with years of industry experience, this course is ideal for those seeking to kickstart their careers or enhance their existing skill set. Featuring an engaging audio-visual presentation and easily digestible modules, our program facilitates a self-paced learning experience. Our dedicated online support team is available on weekdays to provide assistance throughout your journey. Key Learning Outcomes: Grasp the fundamentals and their practical applications. Cultivate the necessary skills for success in your field. Apply newfound knowledge to real-world scenarios. Develop effective solutions for relevant topics. Elevate your employability and career prospects.   Designed to give you a competitive edge in the job market, this course offers lifetime access to materials and the flexibility to learn at your own pace, from the comfort of your home. Why Choose Us? Learn at your own pace with 24/7 online access to course materials. Benefit from full tutor support available Monday through Friday. Acquire essential skills in the convenience of your home through informative video modules. Enjoy 24/7 assistance and advice via email and live chat. Study on your preferred device - computer, tablet, or mobile. Gain a thorough understanding of the course content. Improve professional skills and earning potential upon completion. Access lifetime course materials and expert guidance. Enjoy the convenience of online learning with flexible schedules. Why Enroll in This Course? Our program provides a comprehensive introduction to the subject matter, laying a solid foundation for further study. It empowers students to acquire knowledge and skills applicable to both their professional and personal lives. Assessment: The course incorporates quizzes to evaluate your understanding and retention of the material. These quizzes pinpoint areas for further practice, allowing you to review course materials as needed. Successfully passing the final quiz qualifies you for a certificate of achievement. Career Path: Our course is meticulously designed to equip you for success in your chosen field. Upon completion, you'll have the qualifications to pursue diverse career opportunities across various industries. Course Content Diploma in Herbal Medicine Practice Module 1: Introduction to Herbal Medicine Module 2: Herbal Pharmacy and Therapeutics Module 3: Botany and Plant Identification Module 4: Herbal Materia Medica Module 5: Chemistry of Herbs Module 6: Ayurvedic Medicine Module 7: Traditional Chinese Medicine (TCM) and Herbs Module 8: Holistic Anatomy and Physiology Module 9: Aromatherapy Module 10: Herbal First Aid and Emergency Care

Our comprehensive program is meticulously crafted to equip you with the essential skills and knowledge required to thrive in your chosen field. Developed by seasoned professionals with years of industry experience, this course is ideal for those seeking to kickstart their careers or enhance their existing skill set. Featuring an engaging audio-visual presentation and easily digestible modules, our program facilitates a self-paced learning experience. Our dedicated online support team is available on weekdays to provide assistance throughout your journey. Key Learning Outcomes: Grasp the fundamentals and their practical applications. Cultivate the necessary skills for success in your field. Apply newfound knowledge to real-world scenarios. Develop effective solutions for relevant topics. Elevate your employability and career prospects.   Designed to give you a competitive edge in the job market, this course offers lifetime access to materials and the flexibility to learn at your own pace, from the comfort of your home. Why Choose Us? Learn at your own pace with 24/7 online access to course materials. Benefit from full tutor support available Monday through Friday. Acquire essential skills in the convenience of your home through informative video modules. Enjoy 24/7 assistance and advice via email and live chat. Study on your preferred device - computer, tablet, or mobile. Gain a thorough understanding of the course content. Improve professional skills and earning potential upon completion. Access lifetime course materials and expert guidance. Enjoy the convenience of online learning with flexible schedules. Why Enroll in This Course? Our program provides a comprehensive introduction to the subject matter, laying a solid foundation for further study. It empowers students to acquire knowledge and skills applicable to both their professional and personal lives. Assessment: The course incorporates quizzes to evaluate your understanding and retention of the material. These quizzes pinpoint areas for further practice, allowing you to review course materials as needed. Successfully passing the final quiz qualifies you for a certificate of achievement. Career Path: Our course is meticulously designed to equip you for success in your chosen field. Upon completion, you'll have the qualifications to pursue diverse career opportunities across various industries. Course Content Structural Engineering Level 3 Diploma Introduction to Automotive Systems Engine Systems Vehicle Electrical Systems Fuel Systems Transmission Systems Manual Transmission and Drivetrain Suspension and Steering Systems Automotive Cooling System Exhaust Systems Tire and Wheel Systems

Overview of Data Science & Machine Learning with Python Join our Data Science & Machine Learning with Python course and discover your hidden skills, setting you on a path to success in this area. Get ready to improve your skills and achieve your biggest goals. The Data Science & Machine Learning with Python course has everything you need to get a great start in this sector. Improving and moving forward is key to getting ahead personally. The Data Science & Machine Learning with Python course is designed to teach you the important stuff quickly and well, helping you to get off to a great start in the field. So, what are you looking for? Enrol now! This Data Science & Machine Learning with Python Course will help you to learn: Learn strategies to boost your workplace efficiency. Hone your skills to help you advance your career. Acquire a comprehensive understanding of various topics and tips. Learn in-demand skills that are in high demand among UK employers This course covers the topic you must know to stand against the tough competition. The future is truly yours to seize with this Data Science & Machine Learning with Python. Enrol today and complete the course to achieve a certificate that can change your career forever. Details Perks of Learning with IOMH One-To-One Support from a Dedicated Tutor Throughout Your Course. Study Online - Whenever and Wherever You Want. Instant Digital/ PDF Certificate. 100% Money Back Guarantee. 12 Months Access. Process of Evaluation After studying the course, an MCQ exam or assignment will test your skills and knowledge. You have to get a score of 60% to pass the test and get your certificate. Certificate of Achievement Certificate of Completion - Digital / PDF Certificate After completing the Data Science & Machine Learning with Python course, you can order your CPD Accredited Digital / PDF Certificate for £5.99.  Certificate of Completion - Hard copy Certificate You can get the CPD Accredited Hard Copy Certificate for £12.99. Shipping Charges: Inside the UK: £3.99 International: £10.99 Who Is This Course for? This Data Science & Machine Learning with Python is suitable for anyone aspiring to start a career in relevant field; even if you are new to this and have no prior knowledge, this course is going to be very easy for you to understand.  On the other hand, if you are already working in this sector, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level.  This course has been developed with maximum flexibility and accessibility, making it ideal for people who don't have the time to devote to traditional education. Requirements You don't need any educational qualification or experience to enrol in the Data Science & Machine Learning with Python course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online course. Career Path The certification and skills you get from this Data Science & Machine Learning with Python Course can help you advance your career and gain expertise in several fields, allowing you to apply for high-paying jobs in related sectors. Course Curriculum Course Overview & Table of Contents Course Overview & Table of Contents 00:09:00 Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types 00:05:00 Introduction to Machine Learning - Part 2 - Classifications and Applications Introduction to Machine Learning - Part 2 - Classifications and Applications 00:06:00 System and Environment preparation - Part 1 System and Environment preparation - Part 1 00:04:00 System and Environment preparation - Part 2 System and Environment preparation - Part 2 00:06:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 1 00:10:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 2 00:09:00 Learn Basics of python - Functions Learn Basics of python - Functions 00:04:00 Learn Basics of python - Data Structures Learn Basics of python - Data Structures 00:12:00 Learn Basics of NumPy - NumPy Array Learn Basics of NumPy - NumPy Array 00:06:00 Learn Basics of NumPy - NumPy Data Learn Basics of NumPy - NumPy Data 00:08:00 Learn Basics of NumPy - NumPy Arithmetic Learn Basics of NumPy - NumPy Arithmetic 00:04:00 Learn Basics of Matplotlib Learn Basics of Matplotlib 00:07:00 Learn Basics of Pandas - Part 1 Learn Basics of Pandas - Part 1 00:06:00 Learn Basics of Pandas - Part 2 Learn Basics of Pandas - Part 2 00:07:00 Understanding the CSV data file Understanding the CSV data file 00:09:00 Load and Read CSV data file using Python Standard Library Load and Read CSV data file using Python Standard Library 00:09:00 Load and Read CSV data file using NumPy Load and Read CSV data file using NumPy 00:04:00 Load and Read CSV data file using Pandas Load and Read CSV data file using Pandas 00:05:00 Dataset Summary - Peek, Dimensions and Data Types Dataset Summary - Peek, Dimensions and Data Types 00:09:00 Dataset Summary - Class Distribution and Data Summary Dataset Summary - Class Distribution and Data Summary 00:09:00 Dataset Summary - Explaining Correlation Dataset Summary - Explaining Correlation 00:11:00 Dataset Summary - Explaining Skewness - Gaussian and Normal Curve Dataset Summary - Explaining Skewness - Gaussian and Normal Curve 00:07:00 Dataset Visualization - Using Histograms Dataset Visualization - Using Histograms 00:07:00 Dataset Visualization - Using Density Plots Dataset Visualization - Using Density Plots 00:06:00 Dataset Visualization - Box and Whisker Plots Dataset Visualization - Box and Whisker Plots 00:05:00 Multivariate Dataset Visualization - Correlation Plots Multivariate Dataset Visualization - Correlation Plots 00:08:00 Multivariate Dataset Visualization - Scatter Plots Multivariate Dataset Visualization - Scatter Plots 00:05:00 Data Preparation (Pre-Processing) - Introduction Data Preparation (Pre-Processing) - Introduction 00:09:00 Data Preparation - Re-scaling Data - Part 1 Data Preparation - Re-scaling Data - Part 1 00:09:00 Data Preparation - Re-scaling Data - Part 2 Data Preparation - Re-scaling Data - Part 2 00:09:00 Data Preparation - Standardizing Data - Part 1 Data Preparation - Standardizing Data - Part 1 00:07:00 Data Preparation - Standardizing Data - Part 2 Data Preparation - Standardizing Data - Part 2 00:04:00 Data Preparation - Normalizing Data Data Preparation - Normalizing Data 00:08:00 Data Preparation - Binarizing Data Data Preparation - Binarizing Data 00:06:00 Feature Selection - Introduction Feature Selection - Introduction 00:07:00 Feature Selection - Uni-variate Part 1 - Chi-Squared Test Feature Selection - Uni-variate Part 1 - Chi-Squared Test 00:09:00 Feature Selection - Uni-variate Part 2 - Chi-Squared Test Feature Selection - Uni-variate Part 2 - Chi-Squared Test 00:10:00 Feature Selection - Recursive Feature Elimination Feature Selection - Recursive Feature Elimination 00:11:00 Feature Selection - Principal Component Analysis (PCA) Feature Selection - Principal Component Analysis (PCA) 00:09:00 Feature Selection - Feature Importance Feature Selection - Feature Importance 00:06:00 Refresher Session - The Mechanism of Re-sampling, Training and Testing Refresher Session - The Mechanism of Re-sampling, Training and Testing 00:12:00 Algorithm Evaluation Techniques - Introduction Algorithm Evaluation Techniques - Introduction 00:07:00 Algorithm Evaluation Techniques - Train and Test Set Algorithm Evaluation Techniques - Train and Test Set 00:11:00 Algorithm Evaluation Techniques - K-Fold Cross Validation Algorithm Evaluation Techniques - K-Fold Cross Validation 00:09:00 Algorithm Evaluation Techniques - Leave One Out Cross Validation Algorithm Evaluation Techniques - Leave One Out Cross Validation 00:05:00 Algorithm Evaluation Techniques - Repeated Random Test-Train Splits Algorithm Evaluation Techniques - Repeated Random Test-Train Splits 00:07:00 Algorithm Evaluation Metrics - Introduction Algorithm Evaluation Metrics - Introduction 00:09:00 Algorithm Evaluation Metrics - Classification Accuracy Algorithm Evaluation Metrics - Classification Accuracy 00:08:00 Algorithm Evaluation Metrics - Log Loss Algorithm Evaluation Metrics - Log Loss 00:03:00 Algorithm Evaluation Metrics - Area Under ROC Curve Algorithm Evaluation Metrics - Area Under ROC Curve 00:06:00 Algorithm Evaluation Metrics - Confusion Matrix Algorithm Evaluation Metrics - Confusion Matrix 00:10:00 Algorithm Evaluation Metrics - Classification Report Algorithm Evaluation Metrics - Classification Report 00:04:00 Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction 00:06:00 Algorithm Evaluation Metrics - Mean Absolute Error Algorithm Evaluation Metrics - Mean Absolute Error 00:07:00 Algorithm Evaluation Metrics - Mean Square Error Algorithm Evaluation Metrics - Mean Square Error 00:03:00 Algorithm Evaluation Metrics - R Squared Algorithm Evaluation Metrics - R Squared 00:04:00 Classification Algorithm Spot Check - Logistic Regression Classification Algorithm Spot Check - Logistic Regression 00:12:00 Classification Algorithm Spot Check - Linear Discriminant Analysis Classification Algorithm Spot Check - Linear Discriminant Analysis 00:04:00 Classification Algorithm Spot Check - K-Nearest Neighbors Classification Algorithm Spot Check - K-Nearest Neighbors 00:05:00 Classification Algorithm Spot Check - Naive Bayes Classification Algorithm Spot Check - Naive Bayes 00:04:00 Classification Algorithm Spot Check - CART Classification Algorithm Spot Check - CART 00:04:00 Classification Algorithm Spot Check - Support Vector Machines Classification Algorithm Spot Check - Support Vector Machines 00:05:00 Regression Algorithm Spot Check - Linear Regression Regression Algorithm Spot Check - Linear Regression 00:08:00 Regression Algorithm Spot Check - Ridge Regression Regression Algorithm Spot Check - Ridge Regression 00:03:00 Regression Algorithm Spot Check - Lasso Linear Regression Regression Algorithm Spot Check - Lasso Linear Regression 00:03:00 Regression Algorithm Spot Check - Elastic Net Regression Regression Algorithm Spot Check - Elastic Net Regression 00:02:00 Regression Algorithm Spot Check - K-Nearest Neighbors Regression Algorithm Spot Check - K-Nearest Neighbors 00:06:00 Regression Algorithm Spot Check - CART Regression Algorithm Spot Check - CART 00:04:00 Regression Algorithm Spot Check - Support Vector Machines (SVM) Regression Algorithm Spot Check - Support Vector Machines (SVM) 00:04:00 Compare Algorithms - Part 1 : Choosing the best Machine Learning Model Compare Algorithms - Part 1 : Choosing the best Machine Learning Model 00:09:00 Compare Algorithms - Part 2 : Choosing the best Machine Learning Model Compare Algorithms - Part 2 : Choosing the best Machine Learning Model 00:05:00 Pipelines : Data Preparation and Data Modelling Pipelines : Data Preparation and Data Modelling 00:11:00 Pipelines : Feature Selection and Data Modelling Pipelines : Feature Selection and Data Modelling 00:10:00 Performance Improvement: Ensembles - Voting Performance Improvement: Ensembles - Voting 00:07:00 Performance Improvement: Ensembles - Bagging Performance Improvement: Ensembles - Bagging 00:08:00 Performance Improvement: Ensembles - Boosting Performance Improvement: Ensembles - Boosting 00:05:00 Performance Improvement: Parameter Tuning using Grid Search Performance Improvement: Parameter Tuning using Grid Search 00:08:00 Performance Improvement: Parameter Tuning using Random Search Performance Improvement: Parameter Tuning using Random Search 00:06:00 Export, Save and Load Machine Learning Models : Pickle Export, Save and Load Machine Learning Models : Pickle 00:10:00 Export, Save and Load Machine Learning Models : Joblib Export, Save and Load Machine Learning Models : Joblib 00:06:00 Finalizing a Model - Introduction and Steps Finalizing a Model - Introduction and Steps 00:07:00 Finalizing a Classification Model - The Pima Indian Diabetes Dataset Finalizing a Classification Model - The Pima Indian Diabetes Dataset 00:07:00 Quick Session: Imbalanced Data Set - Issue Overview and Steps Quick Session: Imbalanced Data Set - Issue Overview and Steps 00:09:00 Iris Dataset : Finalizing Multi-Class Dataset Iris Dataset : Finalizing Multi-Class Dataset 00:09:00 Finalizing a Regression Model - The Boston Housing Price Dataset Finalizing a Regression Model - The Boston Housing Price Dataset 00:08:00 Real-time Predictions: Using the Pima Indian Diabetes Classification Model Real-time Predictions: Using the Pima Indian Diabetes Classification Model 00:07:00 Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset 00:03:00 Real-time Predictions: Using the Boston Housing Regression Model Real-time Predictions: Using the Boston Housing Regression Model 00:08:00 Resources Resources - Data Science & Machine Learning with Python 00:00:00

Play is more than just a pastime for children; it's a crucial element in their development. The Child Playwork course delves into the scientific principles and theories that underpin playwork, exploring its profound impact on children's physical, emotional, and cognitive growth.

Fashion Stylist Fundamentals is a comprehensive theoretical course designed to introduce you to the essential aspects of fashion styling. Starting with an overview of the fashion stylist's role, this course explores the core elements of styling, from fabric selection to conceptual creativity.

This baking cupcake course delves into the molecular magic of cupcake creation, exploring diverse flavours, frostings, and decorating techniques that elevate this beloved treat to a form of edible art.

The Psychology Online Course gives you a clear and simple way to understand how people think, feel and act. You will learn how the brain works, how we grow and change, and how our thoughts and feelings shape our lives. This course covers many key areas in psychology, including personality, emotions, stress, behaviour, learning, and mental health. With easy-to-follow lessons, you will gain useful knowledge to understand yourself and others better. Whether you want to build a career in psychology or just learn more about the mind, this course gives you the tools to start. Course Curriculum ✓ Module 01: The Foundation of Psychology ✓ Module 02: Different Approaches of Psychology ✓ Module 03: Biological Psychology ✓ Module 04: Behavioral Psychology ✓ Module 05: Developmental Psychology: How Children Become Adults ✓ Module 06: Social Psychology ✓ Module 07: Emotions in Terms of Psychology ✓ Module 08: Motivation: Why Do We Do What We Do? ✓ Module 09: Dealing with Stress and Anxiety ✓ Module 10: Personality: Psychological Factors That Make You an Individual ✓ Module 11: Perception, Sensation and Love ✓ Module 12: Learning: Understanding Acquired Behavior ✓ Module 13: Thinking: Exploring Mental Life ✓ Module 14: Intelligence: In Pursuit of Rational Thought and Effective Action ✓ Module 15: Atypical Behaviors from a Psychological Perspective ✓ Module 16: Mood Disorders ✓ Module 17: Eating Disorders ✓ Module 18: Personality Disorders ✓ Module 19: Research Methods ✓ Module 20: Psychological Assessments ✓ Module 21: Ethical Issues in Psychological Assessments Learning Outcomes Understand the basics of psychology and its main ideas. Learn how the brain and body affect how we think and act. Know how people grow and develop through life. Explore why we feel emotions and what they mean. Understand what motivates people to do what they do. Learn how stress and anxiety affect the mind and body. See how people learn, remember, and think. Get to know different types of mental health problems. Learn how psychologists study people and collect data. Understand the rules and ethics in psychological testing. Who is this course for? This course is ideal for anyone interested in how the mind works. It suits students, support workers, teachers, carers, and people who want to learn psychology for personal growth or future study. You do not need any previous background in psychology to join. Eligibility Requirements You should have a good understanding of written English. No prior knowledge of psychology is needed, just a keen interest in human behaviour and mental health. Career Path After finishing this course, you can explore roles such as mental health support worker, teaching assistant, youth worker, human resources assistant, or continue into further study in psychology or counselling. It also helps in any job that involves working with people and understanding behaviour. (Learn more about this online course)

In this competitive job market, you need to have some specific skills and knowledge to start your career and establish your position. This AWS Solutions Architect & SysOps Administrator will help you understand the current demands, trends and skills in the sector. The course will provide you with the essential skills you need to boost your career growth in no time. The AWS Solutions Architect & SysOps Administrator will give you clear insight and understanding about your roles and responsibilities, job perspective and future opportunities in this field. You will be familiarised with various actionable techniques, career mindset, regulations and how to work efficiently. This course is designed to provide an introduction to AWS Solutions Architect & SysOps Administrator and offers an excellent way to gain the vital skills and confidence to work toward a successful career. It also provides access to proven educational knowledge about the subject and will support those wanting to attain personal goals in this area. Learning Objectives Learn the fundamental skills you require to be an expert Explore different techniques used by professionals Find out the relevant job skills & knowledge to excel in this profession Get a clear understanding of the job market and current demand Update your skills and fill any knowledge gap to compete in the relevant industry CPD accreditation for proof of acquired skills and knowledge Who is this Course for? Whether you are a beginner or an existing practitioner, our CPD accredited AWS Solutions Architect & SysOps Administrator is perfect for you to gain extensive knowledge about different aspects of the relevant industry to hone your skill further. It is also great for working professionals who have acquired practical experience but require theoretical knowledge with a credential to support their skill, as we offer CPD accredited certification to boost up your resume and promotion prospects. Entry Requirement Anyone interested in learning more about this subject should take this AWS Solutions Architect & SysOps Administrator. This course will help you grasp the basic concepts as well as develop a thorough understanding of the subject. The course is open to students from any academic background, as there is no prerequisites to enrol on this course. The course materials are accessible from an internet enabled device at anytime of the day. CPD Certificate from Course Gate At the successful completion of the course, you can obtain your CPD certificate from us. You can order the PDF certificate for £9 and the hard copy for £15. Also, you can order both PDF and hardcopy certificates for £22. Career path The AWS Solutions Architect & SysOps Administrator will help you to enhance your knowledge and skill in this sector. After accomplishing this course, you will enrich and improve yourself and brighten up your career in the relevant job market. Course Curriculum AWS Tutorial | Course Introduction AWS Tutorial Introduction 00:02:00 What You Will Become 00:01:00 Cloud Computing Basics - Introducing IaaS, PaaS & SaaS Service Models Cloud Computing Introduction 00:07:00 Cloud service models 00:10:00 Cloud Deployment Models 00:05:00 Pre-Requisites - Key Skills Required Before Get Started with AWS Linux Basics 00:02:00 AWS Free Tier Account 00:01:00 Desire to adopt Cloud Model 00:01:00 AWS Global Infrastructure AWS Regions 00:03:00 Availability Zones 00:06:00 EC2 Basics- Virtual Servers in AWS Cloud What is Amazon EC2? 00:03:00 How to Create EC2 Instance - Linux 00:13:00 How to Create EC2 Instance - Windows 00:06:00 How to configure EC2 Instance? 00:15:00 Instance States 00:05:00 EC2 Instance Types 00:08:00 EC2 Pricing Models 00:17:00 Networking Basics - Basics of Network Topology and IP address classes Know Networking Terms - IP, Port, Protocol, Service, Daemon 00:15:00 Apache HTTP Server 00:19:00 VPC - Configure Custom Virtual Private Cloud in the AWS Cloud Build Your Own Datacenter 00:04:00 What is AWS VPC? 00:04:00 Create Custom VPC 00:07:00 Create Custom VPC - LAB 00:17:00 Private Subnet Vs Public Subnet 00:08:00 Private Subnet Vs Public Subnet - LAB 00:15:00 VPC Peering Connections 00:04:00 VPC Peering Connections - LAB 00:11:00 Network ACLs Vs Security Groups 00:09:00 Virtual Private Network (VPN) 00:03:00 EC2 Advanced - Virtual Servers in AWS Cloud EC2 Instance Meta Data 00:03:00 How to Manage Instance Settings 00:07:00 BootStrap EC2 instances 00:05:00 AMI - Create, Copy & Manage Permissions 00:10:00 EC2 Placement Groups 00:05:00 Public IP Vs. Elastic IP 00:03:00 EC2 Summary 00:05:00 Introduction to Elastic Block Store - EBS 00:06:00 Instance Store Volumes 00:06:00 EBS Snapshots 00:03:00 Cloud Watch Basics - Monitor AWS Resources & Applications Performance Cloud Watch Metrics 00:04:00 Cloud Watch Dashboards 00:03:00 Cloud Watch Alarms 00:05:00 Simple Notification Service SNS Introduction 00:03:00 Create Topic & Subscriptions to the Topic 00:03:00 Cloud Watch Alarms - LAB 00:11:00 Certificate Manager - Provision, Manage & Deploy SSL/TLS Certificates Data Encryption Introduction & Types 00:04:00 Create SSL/TLS Certificates - LAB 00:05:00 Route 53 - Scalable DNS and Domain Registration What is Route 53? | How DNS works? 00:06:00 How to Create Hosted Zone 00:07:00 DNS Record Types 00:07:00 Route53 Health Checks 00:03:00 Load Balancing - High Availability Solution for the Applications & Servers High Availability & Load Balancer - Architecture 00:16:00 Classic Load Balancer 00:08:00 Application Load Balancer 00:15:00 Network Load Balancer 00:06:00 Auto Scaling - Scale EC2 instances Proportion to Application Load What is Auto Scaling? 00:08:00 Auto Scaling Group - Architecture 00:08:00 Auto Scaling Group with ELB Association 00:08:00 Create launch Configuration 00:03:00 Create Auto Scaling group 00:16:00 S3 - Scalable Object Storage in the AWS Cloud What is S3? 00:08:00 Create First S3 Bucket 00:03:00 Create First S3 Object 00:04:00 S3 Storage Classes 00:06:00 S3 Versioning 00:10:00 S3 Life Cycle Management 00:08:00 IAM - Manage User Access and Encryption Keys What is IAM ? | IAM Architecture 00:12:00 IAM User, IAM Group - LAB 00:11:00 IAM Policy - LAB 00:07:00 IAM Role - LAB 00:04:00 S3 Cross-Region Replication - LAB 00:10:00 IAM MFA & Security Best Practices 00:07:00 AWS CLI - Manage AWS Services & Resources through AWS CLI How to Install AWS CLI on Windows Systems 00:05:00 How to Install AWS CLI on Linux 00:03:00 Explore AWS CLI Real-time Use Cases 00:07:00 Key Management Service - Generate & Manage AWS Encryption Keys KMS Architecture 00:05:00 Key Management Service (LAB) 00:05:00 EBS Volume Encryption 00:02:00 S3 Encryption 00:02:00 EFS - Managed Network File Storage for EC2 EFS Architecture 00:04:00 Create EFS 00:05:00 Mount on EC2 Instances 00:04:00 S3 Glacier - Data Archival Solution in the AWS Cloud What is S3 Glacier? 00:02:00 Create Vault 00:02:00 Retrieval Policies 00:03:00 Cloud Watch Advanced - Monitor AWS Resources & Applications Performance Cloud Watch Logs 00:13:00 Cloud Watch Custom Metrics 00:04:00 Cloud Watch Events 00:07:00 Cloud Front - Global Content Delivery Network Cloud Front Architecture 00:05:00 Create Cloud Front Distribution - LAB 00:05:00 Cloud Trail - Track IAM user activity & API Usage What is Cloud Trail 00:02:00 Create Trail - LAB 00:05:00 Lambda - Run Code without Thinking About Code | Serverless Architecture What is AWS Lambda? 00:06:00 Getting started with AWS Lambda - LAB 00:08:00 RDS RDS Introduction 00:05:00 Get started with RDS - LAB 00:07:00 DynamoDB Create DynamoDB Table 00:02:00 API Gateway - Build, Deploy & Manage APIs API Gateway Architecture 00:06:00 Create an API - LAB 00:06:00 API Gateway Realtime Use Case 00:03:00 Elastic Beanstalk What is Elastic Beanstalk? 00:06:00 Create a web app - LAB 00:06:00 Cloud Formation - Create & Manager resources with Cloud Formation Templates What is Cloud Formation? 00:06:00 Create Stack - LAB 00:11:00 Cloud Formation Designer - LAB 00:07:00 Systems Manager - Session Manager, Run Command, Parameter Store, Patch Manager What is a Systems Manager? 00:09:00 Session Manager 00:03:00 Run Command 00:06:00 Patch Manager 00:03:00 Secrets Manager - Rotate, Manage & Retrieve Secret through their life cycle What is Secrets Manager? 00:03:00 Store a new secret in Secrets Manager - LAB 00:03:00 Secrets Manager Use Cases 00:02:00 Inspector - Analyze Application Security & Report Inspector Architecture 00:05:00 Inspector Install Run Analyze - LAB 00:06:00 LightSail - Launch & Manage Virtual Private Servers LightSail Architecture 00:05:00 Get Started with LightSail! 00:04:00 AWS Limitations AWS Free Tier Limitations 00:04:00 AWS Service Limits 00:04:00 AWS Cost Explorer What is AWS Cost Explorer? How to Analyze Cost Report? 00:04:00 AWS Support AWS Support Plans 00:04:00 How to raise support tickets with AWS? 00:03:00 AWS Trusted Advisor What is AWS Trusted Advisor? 00:06:00 AWS Project - Realtime 3-Tier Architecture AWS Project - 3-Tier Architecture Deep Drive 00:11:00 Certificate and Transcript Order Your Certificates or Transcripts 00:00:00

Move up a Grade A Revision guide for students in all subjects at school, university and professional levels Course Information   Description Exams are a difficult time. Studying can be tedious and frustrating, but you have to put in the hours in to get the marks. There are no quick fixes, but you can get a better grade with a good revision strategy. This course presents the revision strategy I used to get the second highest mark in the finals of my accountancy qualifications and 10 A’s out of 11 exams through three years of accountancy study. The revision strategy is not complicated, and you still have to do the work – it’s not a magic solution – but it guides you through each phase of revision, and the exam itself, to help you get the best possible marks. I firmly believe that this revision strategy will get you a better mark than you would have without it. Thank you for your interest in this course. I hope this course will help you prepare for your exams   Course Pre-Requisites There are no pre-course requirements.   What Students will Learn How to structure your days and weeks during the revision period How to plan your revision An effective way to learn your material The importance of giving your mind a break – every day The importance of exam practice How to allocate the exam time over the questions How exam marks work To go for the marks, rather than for perfection What to do (and what not to do) on the day of the exam Tips for the exam A simple technique to reduce stress and boost learning     Curriculum SS1 Introduction and Agenda 3 mins SS2 Structure your Week 7 mins SS3 Start Each Day on a Positive Note 2 mins SS4 Revision Phase 1 2 mins SS5 Revision Phase 2 2 mins SS6 Give your Mind a Break 2 mins SS7 Revision Phase 3 5 mins SS8 Revision Phase 4 2 mins SS9 Exam Preparation 1 2 mins SS10 Exam Preparation 2 5 mins SS11 Emotional Freedom Technique 9 mins SS12 The Exam 5 mins SS13 Final Thoughts on Revision 6 mins SS14 Test your Knowledge 8 mins   Total time 1 hour    Additional Resources None     Course Tutor Your tutor is Ross Maynard. Ross is a Fellow of the Chartered Institute of Management Accountants in the UK and has 30 years’ experience as a process improvement consultant specialising in finance processes. Ross is also a professional author of online training courses for accountants. Ross lives in Scotland with his wife, daughter and Cocker Spaniel