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28525 Development courses in Belfast delivered Online

Fundamentals of Political Science: Core Concepts

4.3(43)

By John Academy

Explore the foundational principles of political science in our comprehensive course, 'Fundamentals of Political Science: Core Concepts.' From understanding political theories to analyzing international relations and current global issues, this course equips you with the essential knowledge to navigate the complex world of politics. Uncover the intricacies of political systems, delve into the intersection of politics and economics, and gain insights into public policy formulation. Stay informed about the latest developments with a focus on critical thinking. Join us to build a robust foundation for engaging with political phenomena and shaping your perspective on contemporary affairs.

Fundamentals of Political Science: Core Concepts
Delivered Online On Demand2 hours
£23.99

Journal Therapy: Part 1

By iStudy UK

Course Description Get instant knowledge from this bite-sized Journal Therapy: Part 1 course. This course is very short and you can complete it within a very short time. In this Journal Therapy: Part 1 course you will get fundamental ideas of journal therapy, the key understanding of journal therapy as a treatment method, the structure of journal writing and so on. Enrol in this course today and start your instant first step towards learning about journal therapy. Learn faster for instant implementation. Learning outcome  Familiarise with journal therapy Understand journal therapy as a treatment method Gain in-depth knowledge of the foundations of therapeutic writing Deepen your understanding of the structure of journal writing Requirement Our Journal Therapy: Part 1 is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Journal Therapy: Part 1 Module 01: Introduction to Journal Therapy 00:10:00 Module 02: Writing to Heal 00:13:00 Module 03: Journal Therapy as a Treatment Method 00:22:00 Module 04: Foundations of Therapeutic Writing 00:13:00 Module 05: Structure of Journal Writing 00:21:00 Assignment Assignment - Journal Therapy: Part 1 00:00:00

Journal Therapy: Part 1
Delivered Online On Demand1 hour 19 minutes
£25

Journal Therapy: Part 2

By iStudy UK

Course Description Get instant knowledge from this bite-sized Journal Therapy: Part 2 course. This course is very short and you can complete it within a very short time. In this Journal Therapy: Part 2 course you will get fundamental ideas of journal therapy, the key understanding of the six windows model, journaling for a better career and so on. Enrol in this course today and start your instant first step towards learning about what people need to write. Learn faster for instant implementation. Learning outcome  Familiarise with the six windows model Understand what people need to write Gain in-depth knowledge of the writing to help you take control of your own life Deepen your understanding of therapeutic vs creative journaling Understand journaling for a better career and self Requirement Our Journal Therapy: Part 2 is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Journal Therapy: Part 2 Module 01: What People Need to Write 00:10:00 Module 02: The Six Windows Model 00:21:00 Module 03: Writing to Help You Take Control of Your Own Life 00:18:00 Module 04: Therapeutic vs Creative Journaling 00:23:00 Module 05: Journaling for a Better Career and Self 00:29:00 Assignment Assignment - Journal Therapy: Part 2 00:00:00

Journal Therapy: Part 2
Delivered Online On Demand1 hour 41 minutes
£25

Personal / Business Networking Skills For Maximum Success!

By iStudy UK

Networking is one of the most important skills that one should have for success. Networking is like branding yourself and making others informed that you're capable. Without proper networking, your potential and capabilities remain unknown to others. So, it's important to master the skills of networking to kickstart a better career.  This Personal / Business Networking Skills For Maximum Success Course is designed to teach you the strategies and techniques of effective networking so that you can succeed in your personal and professional life.  What you'll learn Powerful Networking Tools & Strategies - Unique! Learn How the Law Of Reciprocity Can Work For You Learn the Power of the 'Likeability Factor' Hot / Targeted Places to Network Best Online Networking Strategies For Success Mentors - The Power To Transform Your Life! Who is this Course for? This course a perfect fit for anyone who is looking for learning the skills of networking and effective communication.  Requirements Basic / Simple Computer Skills. English speaking knowledge. This course fully compatible with any kind of device. Whether you are using a Windows computer, Mac, smartphone or tablet, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time, without any kind of limitation. Career Path You will be ready to enter the relevant job market after completing this course and will be equipped with the necessary knowledge and skills required to succeed in this sector. All of our courses are CPD and IAO accredited, so you will be able to stand out in the crowd by adding our qualifications to your CV and Resume.  Personal / Business Networking Skills For Maximum Success! Why Is Networking Powerful? FREE 00:05:00 Networking Paradigm Shifts FREE 00:03:00 You've Got To GIVE To GET 00:08:00 The Power Of 'Likeability' 00:09:00 Making The Connection 00:06:00 Great Places To Network 00:08:00 The Power Of Mentors 00:06:00

Personal / Business Networking Skills For Maximum Success!
Delivered Online On Demand45 minutes
£25

Learn MySQL from Scratch for Data Science and Analytics

4.5(3)

By Studyhub UK

Embark on a comprehensive journey into the world of MySQL with a focus on its applications in Data Science and Analytics. This course is structured to take you from the fundamentals to advanced topics in MySQL Server. Covering SQL basics, data manipulation and definition, control and analytic functions, and database management, you'll acquire the essential skills for harnessing MySQL's power in data-driven decision-making. Learning Outcomes: Establish a strong foundation in SQL and MySQL. Set up and configure SQL Server for efficient data handling. Master SQL's Data Manipulation, Definition, and Control Language. Create and optimize SQL queries for data analysis. Perform advanced data analytics using SQL. Understand the power of GROUP BY and JOIN statements. Implement data constraints and views for data integrity and security. Develop proficiency in stored procedures, data import/export, and database backup/restore. Why buy this Learn MySQL from Scratch for Data Science and Analytics?  Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Learn MySQL from Scratch for Data Science and Analytics you will be able to take the MCQ test that will assess your knowledge. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Learn MySQL from Scratch for Data Science and Analytics course is ideal for Aspiring Data Scientists and Analysts. Database Administrators and Developers. Students and professionals seeking to enter the field of Data Science. Anyone looking to enhance their SQL and MySQL skills for data-related roles. Prerequisites This Learn MySQL from Scratch for Data Science and Analytics was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path Data Analyst: £25,000 - £50,000 per year. Database Administrator: £30,000 - £60,000 per year. SQL Developer: £30,000 - £60,000 per year. Data Scientist: £40,000 - £80,000 per year. Business Intelligence Analyst: £35,000 - £65,000 per year. Course Curriculum Learn MySQL from Scratch for Data Science and Analytics Section 01: Getting Started Introduction 00:02:00 How to get course requirements 00:01:00 Getting started on Windows, Linux or Mac 00:01:00 How to ask great questions 00:01:00 FAQ's 00:01:00 What is Source Code? 00:09:00 Section 02: SQL Server setting up Section Introduction 00:01:00 MySQL Server Installation 00:14:00 Connect MySQL Server Instance 00:06:00 MySQL Workbench overview 00:11:00 Download and Restore Sample Database 00:08:00 Section 03: SQL Database basics Section Introduction 00:01:00 Overview of Databases 00:09:00 Creating Database 00:07:00 SQL Data Types 00:04:00 Column Data Types on Workbench 00:07:00 Creating Table 00:04:00 Overview of Primary and Foreign Key 00:03:00 Primary Key 00:06:00 Foreign Key 00:12:00 Creating Temporary tables 00:12:00 EER - Enhanced Entity Relationship Diagrams 00:04:00 Section 04: SQL DML (Data Manipulation Language) Section Introduction 00:01:00 Insert statement 00:07:00 Update statement 00:06:00 Delete statement 00:03:00 Section 05: SQL DDL (Data Definition Language) Section Introduction 00:01:00 CREATE table statement 00:08:00 DROP statement 00:03:00 ALTER statement 00:05:00 TRUNCATE statement 00:03:00 COMMENT in query 00:02:00 RENAME table 00:03:00 Section 06: SQL DCL (Data Control Language) Create Database user 00:03:00 GRANT permissions 00:06:00 REVOKE permissions 00:04:00 Section 07: SQL Statement Basic Section Introduction 00:01:00 SQL Statement basic 00:03:00 SELECT Statement 00:03:00 SELECT DISTINCT 00:02:00 SELECT with column headings 00:01:00 Column AS statement 00:02:00 DASHBOARD Analytics 00:06:00 Section 08: Filtering Data rows SELECT WHERE Clause - theory 00:03:00 SELECT WHERE Clause - practical 00:06:00 Section 09: Aggregate functions for Data Analysis Sum() 00:06:00 Min()-Max() 00:03:00 Section 10: SQL Data Analyticstatements Order By statement 00:05:00 SELECT TOP 3 records 00:02:00 BETWEEN command 00:06:00 IN operator 00:03:00 Search Data usingLIKE cards 00:05:00 Section 11: SQL Group by statement Section Introduction 00:01:00 Group by - theory 00:04:00 Data Analytics with Group By 00:04:00 HAVING statement 00:03:00 Section 12: JOINS Overview of Joins 00:02:00 What are Joins 00:02:00 Inner join 00:07:00 Left outer join 00:02:00 Right outer join 00:02:00 Union 00:03:00 CERTESIAN Product or Cross Join 00:03:00 Query Exercise 00:01:00 Solution for Query Exercise 00:01:00 Section 13: SQL Constraints Section introduction 00:01:00 Check constraint 00:09:00 NOT NULL constraint 00:03:00 UNIQUE constraint 00:06:00 Section 14: Views Creating Views 00:03:00 Data Analytic Views from multiple tables 00:03:00 Section 15: Advanced SQL Functions Section Introduction 00:01:00 Timestamp 00:03:00 Extract from timestamp 00:03:00 Mathematical scalar functions 00:03:00 String functions3 00:07:00 Advanced functions 00:04:00 Sub Queries 00:03:00 SELECT with calculations 00:05:00 Section 16: SQL Stored procedures Create stored procedure 00:06:00 Stored procedure with parameter 00:03:00 Drop Procedure 00:01:00 Section 17: Import & Export data Section Introduction 00:01:00 Import .csv file 00:04:00 Export Data to .csv file 00:02:00 Section 18: Backup and Restore Database Section Introduction 00:01:00 Creating Database backup 00:02:00 Restoring Database backup 00:02:00

Learn MySQL from Scratch for Data Science and Analytics
Delivered Online On Demand5 hours 47 minutes
£10.99

Data Science & Machine Learning with Python

4.9(27)

By Apex Learning

Overview This comprehensive course on Data Science & Machine Learning with Python will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Data Science & Machine Learning with Python comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Data Science & Machine Learning with Python. It is available to all students, of all academic backgrounds. Requirements Our Data Science & Machine Learning with Python is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 2 sections • 90 lectures • 10:24:00 total length •Course Overview & Table of Contents: 00:09:00 •Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types: 00:05:00 •Introduction to Machine Learning - Part 2 - Classifications and Applications: 00:06:00 •System and Environment preparation - Part 1: 00:08:00 •System and Environment preparation - Part 2: 00:06:00 •Learn Basics of python - Assignment 1: 00:10:00 •Learn Basics of python - Assignment 2: 00:09:00 •Learn Basics of python - Functions: 00:04:00 •Learn Basics of python - Data Structures: 00:12:00 •Learn Basics of NumPy - NumPy Array: 00:06:00 •Learn Basics of NumPy - NumPy Data: 00:08:00 •Learn Basics of NumPy - NumPy Arithmetic: 00:04:00 •Learn Basics of Matplotlib: 00:07:00 •Learn Basics of Pandas - Part 1: 00:06:00 •Learn Basics of Pandas - Part 2: 00:07:00 •Understanding the CSV data file: 00:09:00 •Load and Read CSV data file using Python Standard Library: 00:09:00 •Load and Read CSV data file using NumPy: 00:04:00 •Load and Read CSV data file using Pandas: 00:05:00 •Dataset Summary - Peek, Dimensions and Data Types: 00:09:00 •Dataset Summary - Class Distribution and Data Summary: 00:09:00 •Dataset Summary - Explaining Correlation: 00:11:00 •Dataset Summary - Explaining Skewness - Gaussian and Normal Curve: 00:07:00 •Dataset Visualization - Using Histograms: 00:07:00 •Dataset Visualization - Using Density Plots: 00:06:00 •Dataset Visualization - Box and Whisker Plots: 00:05:00 •Multivariate Dataset Visualization - Correlation Plots: 00:08:00 •Multivariate Dataset Visualization - Scatter Plots: 00:05:00 •Data Preparation (Pre-Processing) - Introduction: 00:09:00 •Data Preparation - Re-scaling Data - Part 1: 00:09:00 •Data Preparation - Re-scaling Data - Part 2: 00:09:00 •Data Preparation - Standardizing Data - Part 1: 00:07:00 •Data Preparation - Standardizing Data - Part 2: 00:04:00 •Data Preparation - Normalizing Data: 00:08:00 •Data Preparation - Binarizing Data: 00:06:00 •Feature Selection - Introduction: 00:07:00 •Feature Selection - Uni-variate Part 1 - Chi-Squared Test: 00:09:00 •Feature Selection - Uni-variate Part 2 - Chi-Squared Test: 00:10:00 •Feature Selection - Recursive Feature Elimination: 00:11:00 •Feature Selection - Principal Component Analysis (PCA): 00:09:00 •Feature Selection - Feature Importance: 00:07:00 •Refresher Session - The Mechanism of Re-sampling, Training and Testing: 00:12:00 •Algorithm Evaluation Techniques - Introduction: 00:07:00 •Algorithm Evaluation Techniques - Train and Test Set: 00:11:00 •Algorithm Evaluation Techniques - K-Fold Cross Validation: 00:09:00 •Algorithm Evaluation Techniques - Leave One Out Cross Validation: 00:05:00 •Algorithm Evaluation Techniques - Repeated Random Test-Train Splits: 00:07:00 •Algorithm Evaluation Metrics - Introduction: 00:09:00 •Algorithm Evaluation Metrics - Classification Accuracy: 00:08:00 •Algorithm Evaluation Metrics - Log Loss: 00:03:00 •Algorithm Evaluation Metrics - Area Under ROC Curve: 00:06:00 •Algorithm Evaluation Metrics - Confusion Matrix: 00:10:00 •Algorithm Evaluation Metrics - Classification Report: 00:04:00 •Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction: 00:06:00 •Algorithm Evaluation Metrics - Mean Absolute Error: 00:07:00 •Algorithm Evaluation Metrics - Mean Square Error: 00:03:00 •Algorithm Evaluation Metrics - R Squared: 00:04:00 •Classification Algorithm Spot Check - Logistic Regression: 00:12:00 •Classification Algorithm Spot Check - Linear Discriminant Analysis: 00:04:00 •Classification Algorithm Spot Check - K-Nearest Neighbors: 00:05:00 •Classification Algorithm Spot Check - Naive Bayes: 00:04:00 •Classification Algorithm Spot Check - CART: 00:04:00 •Classification Algorithm Spot Check - Support Vector Machines: 00:05:00 •Regression Algorithm Spot Check - Linear Regression: 00:08:00 •Regression Algorithm Spot Check - Ridge Regression: 00:03:00 •Regression Algorithm Spot Check - Lasso Linear Regression: 00:03:00 •Regression Algorithm Spot Check - Elastic Net Regression: 00:02:00 •Regression Algorithm Spot Check - K-Nearest Neighbors: 00:06:00 •Regression Algorithm Spot Check - CART: 00:04:00 •Regression Algorithm Spot Check - Support Vector Machines (SVM): 00:04:00 •Compare Algorithms - Part 1 : Choosing the best Machine Learning Model: 00:09:00 •Compare Algorithms - Part 2 : Choosing the best Machine Learning Model: 00:05:00 •Pipelines : Data Preparation and Data Modelling: 00:11:00 •Pipelines : Feature Selection and Data Modelling: 00:10:00 •Performance Improvement: Ensembles - Voting: 00:07:00 •Performance Improvement: Ensembles - Bagging: 00:08:00 •Performance Improvement: Ensembles - Boosting: 00:05:00 •Performance Improvement: Parameter Tuning using Grid Search: 00:08:00 •Performance Improvement: Parameter Tuning using Random Search: 00:06:00 •Export, Save and Load Machine Learning Models : Pickle: 00:10:00 •Export, Save and Load Machine Learning Models : Joblib: 00:06:00 •Finalizing a Model - Introduction and Steps: 00:07:00 •Finalizing a Classification Model - The Pima Indian Diabetes Dataset: 00:07:00 •Quick Session: Imbalanced Data Set - Issue Overview and Steps: 00:09:00 •Iris Dataset : Finalizing Multi-Class Dataset: 00:09:00 •Finalizing a Regression Model - The Boston Housing Price Dataset: 00:08:00 •Real-time Predictions: Using the Pima Indian Diabetes Classification Model: 00:07:00 •Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset: 00:03:00 •Real-time Predictions: Using the Boston Housing Regression Model: 00:08:00 •Resources - Data Science & Machine Learning with Python: 00:00:00

Data Science & Machine Learning with Python
Delivered Online On Demand10 hours 24 minutes
£12

IELTS Writing Task 1 Masterclass

4.9(27)

By Apex Learning

Overview This comprehensive course on IELTS Writing Task 1 Masterclass will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This IELTS Writing Task 1 Masterclass comes with accredited certification, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this IELTS Writing Task 1 Masterclass. It is available to all students, of all academic backgrounds. Requirements Our IELTS Writing Task 1 Masterclass is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 5 sections • 45 lectures • 08:09:00 total length •Welcome Aboard: 00:08:00 •Fundamentals of Writing Task 1: 00:06:00 •The 4 Main Types of Questions: 00:07:00 •How to Get a High Score: 00:07:00 •How this course is Structured: 00:03:00 •First Ingredient: Task Achievement: 00:16:00 •Second Ingredient: Cohesion and Coherence: 00:09:00 •Third Ingredient: Grammatical Range and Accuracy: 00:03:00 •Grammar: Tenses: 00:20:00 •Grammar: Articles and Agreement: 00:09:00 •Grammar: Active vs. Passive Voice: 00:07:00 •Grammar: Simple and Compound Sentences: 00:18:00 •Grammar: Complex Sentences: 00:12:00 •Grammar: Correlative Conjunctions: 00:09:00 •Grammar: Relative Clauses: 00:11:00 •Grammar: Combining Elements: 00:06:00 •Grammar: Punctuation: 00:21:00 •Grammar: Writing Numbers: 00:08:00 •Fourth Ingredient: Lexical Resource: 00:02:00 •Vocabulary for Trend Graphs: 00:10:00 •Vocabulary for Comparative Graphs: 00:12:00 •Vocabulary for Process Diagrams: 00:04:00 •Vocabulary for Maps: 00:17:00 •Introduction to unit 3: The Recipe: 00:04:00 •The Basics of Writing Introductions: 00:04:00 •How to Write Introductions for Trend Graphs: 00:15:00 •How to Write Introductions for Comparative Graphs: 00:13:00 •How to Write Introductions for Process Diagrams: 00:04:00 •How to Write Introductions for Maps: 00:02:00 •The Basics of Writing Overviews: 00:04:00 •How to Write Overviews for Trend Graphs: 00:19:00 •How to Write Overviews for Comparative Graphs: 00:15:00 •How to Write Overviews for Process Diagrams: 00:08:00 •How to Write Overviews for Maps: 00:03:00 •The Basics of Writing Specific Details: 00:03:00 •How to Write Specific Details for Trend Graphs: 00:29:00 •How to Write Specific Details for Comparative Graphs: 00:26:00 •How to Write Specific Details for Process Diagrams: 00:12:00 •How to Write Specific Details for Maps: 00:07:00 •Practice Question 1 in Real-Time: 00:22:00 •Breakdown of Practice Question 1: 00:19:00 •Practice Question 2 in Real-Time: 00:17:00 •Breakdown of Practice Question 2: 00:27:00 •Final Tips: 00:11:00 •Assignment - IELTS Writing Task 1 Masterclass: 00:00:00

IELTS Writing Task 1 Masterclass
Delivered Online On Demand8 hours 9 minutes
£12

Amazon Web Services (AWS)

4.9(27)

By Apex Learning

Overview This comprehensive course on Amazon Web Services (AWS) will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Amazon Web Services (AWS) comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast-track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Amazon Web Services (AWS). It is available to all students, of all academic backgrounds. Requirements Our Amazon Web Services (AWS) is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 9 sections • 66 lectures • 08:58:00 total length •Introduction to AWS - Cloud Computing: 00:11:00 •Introduction to AWS - Cloud Computing Continue: 00:10:00 •Launching a Server: 00:10:00 •Launching a Server Continues: 00:08:00 •Adding Tags: 00:09:00 •Launching a Windows Instance: 00:08:00 •Data storage Using S3: 00:07:00 •Data storage Using S3 Continues: 00:07:00 •AWS - EBS Part A: 00:07:00 •AWS - EBS Part B: 00:08:00 •AWS - EBS Part C: 00:06:00 •Running Instance: 00:08:00 •Terminate Instances: 00:02:00 •RDS and Dynamo DB Overview: 00:08:00 •Delete DB Instance: 00:06:00 •AWS - EFS Demo: 00:08:00 •More on AWS - EFS Demo: 00:10:00 •S3 Java API: 00:12:00 •More on S3 Java API: 00:11:00 •Dynamo DB Java API: 00:08:00 •Dynamo DB Java API Continues: 00:05:00 •Connecting to RDS - MySql: 00:11:00 •My SQL Driver: 00:09:00 •S3 using CLI: 00:10:00 •S3 using CLI Continues: 00:08:00 •AWS - Syn Command: 00:08:00 •Amazon DynamoDB Using: 00:09:00 •Amazon DynamoDB Using Continue: 00:10:00 •Amazon RDS Using CL: 00:12:00 •Amazon RDS Using CL Continue: 00:06:00 •More on Amazon RDS Using CL: 00:07:00 •Static website Using S3: 00:06:00 •AWS - Set Permission: 00:06:00 •Point your Domain to S3 Static Website: 00:07:00 •Point your Domain to S3 Static Website Continues: 00:09:00 •Name Servers: 00:07:00 •Create Record Set: 00:08:00 •Security Pre Work: 00:09:00 •IAM in AWS: 00:07:00 •IAM in AWS Continues: 00:06:00 •Creating New User: 00:07:00 •Storage C3: 00:10:00 •AWS - MFA in AWS: 00:07:00 •AWS - MFA in AWS Continues: 00:06:00 •Source Vs Destination: 00:07:00 •Infrastructure as Code: 00:08:00 •Infrastructure as Code Continues: 00:07:00 •Resources Name - AWSCF Bucket: 00:07:00 •Deployment Cloud Formation: 00:09:00 •Changing Access Control: 00:11:00 •Key Name - Key Val: 00:06:00 •Deployment Elastic Beanstalk: 00:06:00 •Creating Sample ENV: 00:06:00 •Deployment Ops Works Demo: 00:08:00 •Cloud Front Demo: 00:08:00 •Cloud Front Demo Continues: 00:10:00 •Security Groups: 00:08:00 •More on Security Groups: 00:08:00 •Creating a VPC: 00:09:00 •Virtual Private Cloud: 00:09:00 •Elastic IP: 00:07:00 •Allocate New Address: 00:08:00 •ELB Demo: 00:10:00 •ELB Demo Continues: 00:10:00 •Elastic Map Reduce: 00:11:00 •Amazon Cluster Running: 00:11:00

Amazon Web Services (AWS)
Delivered Online On Demand8 hours 58 minutes
£12

LOLER Training (QLS)

By Imperial Academy

Level 4 QLS Endorsed Course | CPD & CiQ Accredited | Audio Visual Training | Free PDF Certificate | Lifetime Access

LOLER Training (QLS)
Delivered Online On Demand
£12

Safer Recruitment Course

5.0(3)

By School Of Health Care

All settings where children and young adults are present require safer recruitment practices. For example, when hiring and supervising new employees, it is important to understand how to make sure they are safe to work with children. This begins with a thorough safer recruitment process that ensures that the people you hire have the same child protection attitudes and values as you do. Learning Objectives After completing this Safer Recruitment Course, the learner will be able to: Understand the fundamentals of Safer Recruitment. Make the job description and application pack. Know the interview process. Shortlist candidates, contact referees and review disclosures. Gain a thorough understanding of Pre-Appointment and DBS Checks. Understand the induction process and maintain a safe workplace. Why choose this Safer Recruitment course from the School of Health Care? Self-paced course, access available from anywhere in the world. High-quality study materials that are easy to understand. Course developed by industry experts. After each module, there will be an MCQ quiz to assess your learning. Assessment results are generated automatically and instantly. 24/7 support is available via live chat, phone call, or email. Free PDF certificate after completing the course. Course Curriculum Module 1: Introduction to Safer Recruitment Module 2: Step 1: Create the Job Description and Application Pack Module 3: Step 2: Shortlist Candidates, Contact Referees and Review Disclosures Module 4: Step 3: Interview Shortlisted Candidates Module 5: Step 4: Pre-Appointment and DBS Checks Module 6: Step 5: The Induction Process and Maintaining a Safe Workplace Assessment Method After completing Safer Recruitment Course, you will get quizzes to assess your learning. You will do the later modules upon getting 60% marks on the quiz test. Apart from this, you do not need to sit for any other assessments. Certification After completing the Safer Recruitment course, you can instantly download your certificate for FREE. The hard copy of the certification will also be delivered to your doorstep via post, which will cost £15. Who is this course for? This Safer Recruitment Course is ideal for anyone in charge of hiring and/or supervising new staff members who work with children and young people. This applies whether you are hiring full-time, part-time, or volunteer employees. All settings where children and young people are present, including activity centres, nurseries, sports clubs, private tutors, childminders, fostering agencies, and support services, must protect children and follow the safer recruitment process. Requirements To enroll in this Safer Recruitment Course, students must fulfill the following requirements: Good Command over English language Be energetic and self-motivated Basic computer Skill You must be at least 15 years old

Safer Recruitment Course
Delivered Online On Demand5 hours
£12