WeTrainICT AWS Educate Courses
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We are an accredited Training provider with MICT Seta® (Acc 2007/01/170), an Oracle Partner and Certiport Centre. We are proud to be 100% women owned and 100% Black-owned with a Level 1 BEE rating. We have been offering services in the training and development sector for the past 10 years through IT learnerships and skills programmes with a 90% – 100% job placement in industry.
Our AWS Educate Courses
Cloud Computing 101 Pathway Syllabus
Cloud Computing 101 Pathway Syllabus
Course Description
The cloud is a part of everyday life. For companies everywhere, it’s become an ideal solution for their technology needs. With its ability to scale, on-demand solutions, and flexible pricing, companies can focus on bringing their ideas to life rather than buying and managing servers. In this pathway, which contains ~25 hours of learning, you will be introduced to the basics of cloud computing and the AWS solutions.
Intended Audience
This survey course is aimed at individuals interested in cloud topics with little or no working knowledge of AWS.
More Details
Course Objectives
In this pathway, you’ll explore:
- Cloud Computing Fundamentals
- AWS Cloud Computing Services
Course Outline
Module 1: Platform technologies
1. Cloud Computing Fundamentals
2. Knowledge Check
Module 2: AWS cloud computing Services
1. AWS Cloud Computing Services Introduction
2. Overview
3. AWS Compute Services
4. AWS Analytics Services
5. AWS Database Services
6. AWS Developer Tools
7. AWS Management Tools
8. AWS Storage Services
9. AWS Networking and Content Delivery Services
10. Knowledge Check
Performance Metrics
Each career pathway contains modules that dive into the key skills you’ll need to excel in that particular career. This pathway includes:
- A knowledge check of 3 – 5 questions at the end of every module
Cloud Support Courses
Cloud Support Associate Pathway
Course Description
A Cloud Support Associate is an important role focused on supporting cloud customers. This role requires a wide range of technical knowledge, from operating systems to web applications. This pathway, which contains about 30 hours of learning, introduces the skills needed to be a Cloud Support Associate.
Intended Audience
This survey course is aimed at individuals interested in cloud topics with little or no working knowledge of AWS.
Course Objectives
In this pathway, you’ll explore:
- Various platform technologies, including Windows and Linux, and virtualization.
- Networking topics, including architecture, protocols, virtual private clouds, provisioning, directory service, and troubleshooting tips.
- Different scripting languages necessary for this role, including Python, Javascript, and using the command-line interface.
- General data management concepts.
More Details
Introduction
1. Introduction
2. Learning Objectives
3. Careers in the Cloud
Module 1: Platform technologies
1. General
2. Operating Systems
3. Virtualization
4. Knowledge Check
Module 2: network
1. Introduction
2. Architecture
3. Troubleshooting
4. Directory Services
5. Knowledge Check
Module 3: Software Development
1. Introduction
2. General Concepts
3. CLI
4. Javascript
5. PHP
6. Powershell
7. Ruby
8. Knowledge Check
Module 4: Data and databases
1. Data Management and Data Migration
2. Data Structures
3. Knowledge Check
Performance Metrics
career pathway contains modules that dive into the key skills you’ll need to excel in that particular career. Every pathway includes:
- A knowledge check of 3 – 5 questions at the end of every module
- A final assessment of approximately 20 questions
- A scenario-based final project
Cloud Computing 101 Pathway Syllabus
Course Description
Cloud Support Engineers work with companies every day to help them move their technology to the cloud and solve different types of technical challenges. They’re also the voice of the customer and provide feedback on customer needs when working with engineering teams to develop new features. This role requires a wide range of technical knowledge, from operating systems to web applications. In this pathway, which contains about 35 hours of learning, you’ll learn about the skills a Cloud Support Engineer uses to troubleshoot and find customer solutions.
Intended Audience
This survey course is aimed at individuals interested in cloud topics with little or no working knowledge of AWS.
Course Objectives
In this pathway, you’ll explore:
- Various platform technologies, including Windows and Linux, and virtualization.
- Networking topics, including architecture, protocols, virtual private clouds, provisioning, directory service, and troubleshooting tips.
- Different scripting languages necessary for this role, including Python, Javascript, and using the command line interface.
- General cloud security topics.
More Details
Course Outline
Introduction
1. Introduction
2. Learning Objectives
3. Careers in the Cloud
Module 1: Platform technologies
1. General
2. Operating Systems
3. Virtualization
4. Knowledge Check
Module 2: network
1. Introduction
2. Architecture
3. Troubleshooting
4. Knowledge Check
Module 3: Software Development
1. General Concepts
2. CLI
3. Javascript
4. PHP
5. Powershell
6. Ruby
7. Knowledge Check
Module 4: security
1. Introduction
2. General Concepts
3. Identity Management
4. More on Access, Permissions, and Authentication
5. Knowledge Check
Performance Metrics
Each career pathway contains modules that dive into the key skills you’ll need to excel in that particular career. Every pathway includes:
- A knowledge check of 3 – 5 questions at the end of every module
- A final assessment of approximately 20 questions
- A scenario-based final project
Solutions Architect Pathway Syllabus
Solutions Architect Pathway Syllabus
Course Description
Software Development Engineers are versatile. They can build groundbreaking customer features or develop the backend infrastructures that support them. They are creative and passionate about using software engineering principles to solve challenges across a wide array of technologies. In this pathway, which contains about 35 hours of learning, you will learn about the skills a Software Development Engineer uses daily to design, construct, and test applications that will satisfy the customer requirements.
Intended Audience
This survey course is aimed at individuals interested in cloud topics with little or no working knowledge of AWS.
Course Objectives
In this pathway, you’ll explore:
- Software Development architecture and general topics.
- Effective DevOps strategies for software development.
- Different scripting languages necessary for this role, including Python, Javascript, and using the command line interface.
- Data and data structure concepts.
More Details
Course Outline
Introduction
1. Introduction
2. Learning Objectives
3. Careers in the Cloud
Module 1: software development: Architecture and Devops
1. Introduction
2. General
3. DevOps
4. DevOps Blue/Green
5. Infrastructure as Code
6. Knowledge Check
Module 2: Software Development: Mobile and gaming
1. General Concepts
2. Mobile
3. Mobile for Startups and Gaming
4. Knowledge Check
Module 4: software development: programming and scripting
1. Introduction
2. Programming – C, C#, C++
3. Programming – .NET
4. Programming – Java
5. Programming – Python
6. Scripting – CLI
7. Scripting – PHP
8. Scripting – Powershell
9. Scripting – Ruby
10. Knowledge Check
Module 5: data and databases
1. General Concepts
2. Data Structures
3. Knowledge Check
Performance Metrics
Each career pathway contains modules that dive into the key skills you’ll need to excel in that particular career. Every pathway includes:
- A knowledge check of 3 – 5 questions at the end of every module
- A final assessment of approximately 20 questions
- A scenario-based final project
Application Developer Pathway Syllabus
Software Development Engineer Pathway Syllabus
Course Description
Application Developers are behind the apps that people use every day, from travel to shopping to connecting with the world. They work on all aspects of app development, from identifying requirements to building prototypes to continuously making improvements. in this pathway, which is about 45 hours of learning, you’ll learn about the skills used by an Application Developer to build cool new applications.
Intended Audience
This survey course is aimed at individuals interested in cloud topics with little or no working knowledge of AWS.
Course Objectives
In this pathway, you’ll explore:
- Different scripting languages necessary for this role, including Python, Javascript, and using the command line interface.
- Application development architecture, and devops strategies
- Various platform technologies, including Windows and Linux, and virtualization.
- Data and data structures, relational and non-relational databases.
More Details
Course Outline
Introduction
1. Introduction
2. Learning Objectives
3. Careers in the Cloud
Module 1: software development: Architecture and Devops
1. Introduction
2. General
3. DevOps
4. DevOps Blue/Green
5. Infrastructure as Code
6. Knowledge Check
Module 2: software development: programming and scripting
1. Introduction
2. Programming – C, C#, C++
3. Programming – .NET
4. Programming – Java
5. Programming – Python
6. Scripting – CLI
7. Scripting – PHP
8. Scripting – Powershell
9. Scripting – Ruby
10. Knowledge Check
Module 3: Software Development: web, mobile, and gaming
1. Web Development
2. Mobile
3. Mobile for Startups and Gaming
4. Knowledge Check
Module 4: data and databases: relational and non-relational
1. Data Structures
2. Relational
3. Non-relational
4. Knowledge Check
Module 5: Platform
1. General
2. Operating Systems
3. Virtualization
4. Knowledge Check
Performance Metrics
Each career pathway contains modules that dive into the key skills you’ll need to excel in that particular career. Every pathway includes:
- A knowledge check of 3 – 5 questions at the end of every module
- A final assessment of approximately 20 questions
- A scenario-based final project
Data Scientist Pathway Syllabus
Data Scientist Pathway Syllabus
Course Description
Data Scientists analyze large amounts of data to identify opportunities, inform business strategies, and solve customer challenges. In this pathway, which contains ~35 hours of learning, you’ll learn about the skills Data Scientists use to develop and automate processes, metrics, and long-term, scalable solutions. If you have strong quantitative and analytical skills and enjoy diving into data to uncover patterns and solutions, explore the Data Scientist Pathway to grow your expertise.
Intended Audience
This survey course is aimed at individuals interested in cloud topics with little or no working knowledge of AWS.
Course Objectives
In this pathway, you’ll explore:
- Big data topics including data architecture as well as techniques and tools for analysis, streaming and visualization.
- Different scripting languages necessary for this role, including Java, Python, Javascript, Ruby, and using the command line interface.
- Data and data structures, as well as relational and non-relational data types.
- Various platform technologies, including Windows and Linux, and virtualization.
More Details
Course Outline
Introduction
1. Introduction
2. Learning Objectives
3. Careers in the Cloud
Module 1: data and databases: Big data
1. Introduction
2. General
3. Big Data Analytics
4. Big Data Architecture
5. Big Data and HPC
6. Big Data and Visualization
7. Big Data and Streaming
8. Knowledge Check
Module 2: Database: Structure, Relational and Non-relational
1. Data Structures
2. Relational
3. Non-relational
4. Knowledge Check
Module 3: Software Development: programming and scripting
1. Introduction
2. General
3. Programming – C, C++, C#
4. Programming – .NET
5. Programming – Java
6. Programming – Python
7. Scripting – CLI
8. Scripting – Javascript
9. Scripting – PHP
10. Scripting – Powershell
11. Scripting – Ruby
12. Knowledge Check
Module 4: platform technologies
1. General
2. Operating Systems
3. Virtualization
4. Knowledge Check
Performance Metrics
Each career pathway contains modules that dive into the key skills you’ll need to excel in that particular career. Every pathway includes:
- A knowledge check of 3 – 5 questions at the end of every module
- A final assessment of approximately 20 questions
- A scenario-based final project
Data Integration Specialist Pathway Syllabus
Data Integration Specialist Pathway Syllabus
Course Description
Data Integration Specialists develop creative solutions to combine data from multiple locations into one place. This enables businesses to look at the big picture to better understand how to improve and develop new products. In this pathway, which contains ~35 hours of learning, you’ll be introduced to the skills and knowledge a Data Integration Specialist needs to help companies grow through data integration and automation.
Intended Audience
This survey course is aimed at individuals interested in cloud topics with little or no working knowledge of AWS.
Course Objectives
In this pathway, you’ll explore:
- Big data topics including data architecture as well as techniques and tools for analysis, streaming and visualization.
- Data and data structures, data warehouses and lakes, as well as relational and nonrelational data types
- Different scripting languages necessary for this role, including Java, Python, Javascript,
- Ruby, and using the command line interface
More Details
Course Outline
Introduction
1. Introduction
2. Learning Objectives
3. Careers in the Cloud
Module 1: data and databases: Big data
1. Introduction
2. Overview
3. Big Data Analytics
4. Big Data Architecture
5. Big Data and HPC
6. Big Data and Visualization
7. Big Data and Streaming
8. Knowledge Check
Module 2: data and databases:
1. Introduction
2. Data Structures
3. Data Management and Data Migration
4. Data Warehouses and Data Lakes
5. Relational
6. Non-relational
7. Knowledge Check
Module 3: Software Development: Programming and Scripting
1. Introduction
2. Programming – C, C#, C++
3. Programming – .NET
4. Programming – Java
5. Programming – Python
6. Scripting – CLI
7. Scripting – Javascript
8. Scripting – PHP
9. Scripting – Powershell
10. Scripting – Ruby
11. Knowledge Check
Performance Metrics
Each career pathway contains modules that dive into the key skills you’ll need to excel in that particular career. Every pathway includes:
- A knowledge check of 3 – 5 questions at the end of every module
- A final assessment of approximately 20 questions
- A scenario-based final project
DevOps Engineer Pathway Syllabus
DevOps Engineer Pathway Syllabus
Course Description
DevOps Engineers are the first line of defense to tackle software application issues that could disrupt the customer experience. They work behind the scenes with different teams to identify, implement, and monitor software applications, as well as identify ways to automate manual processes. In this pathway, which contains ~35 hours of learning, you will be introduced to the technologies a DevOps Engineer uses daily on the job. If you’re a problem solver who enjoys working with multiple technologies, explore the DevOps Engineer Pathway today to learn more.
Intended Audience
This survey course is aimed at individuals interested in cloud topics with little or no working knowledge of AWS.
Course Objectives
In this pathway, you’ll explore:
- Various platform technologies, including Windows and Linux, and virtualization
- Networking topics, including architecture, protocols, virtual private clouds, provisioning, and some troubleshooting tips
- Different scripting languages necessary for this role, including Java, Python, Javascript, Ruby, and using the command line interface
- Data and data structures, as well as relational and non-relational data types
More Details
Course Outline
Introduction
1. Introduction
2. Learning Objectives
3. Careers in the Cloud
Module 1: Platform: Operating Systems and Virtualization
1. Introduction
2. Operating Systems
3. Operating Systems (continued)
4. Virtualization
5. Virtualization (continued)
6. Knowledge Check
Module 2: Network
1. Introduction
2. Network Architecture
3. Troubleshooting
4. Provisioning
5. Directory Services
6. Knowledge Check
Module 3: Software development: Devops
1. Introduction
2. General
3. DevOps
4. DevOps Blue/Green
5. Infrastrucuter as Code
6. Knowledge Check
Module 4: Software Development: Programming and Scripting
1. Introduction
2. Programming – C, C#, C++
3. Programming – .NET
4. Programming – Java
5. Programming – Python
6. Scripting – CLI
7. Scripting – Javascript
8. Scripting – PHP
9. Scripting – Powershell
10. Scripting – Ruby
11. Knowledge Check
Performance Metrics
Each career pathway contains modules that dive into the key skills you’ll need to excel in that particular career. Every pathway includes:
- A knowledge check of 3 – 5 questions at the end of every module
- A final assessment of approximately 20 questions
- A scenario-based final project
Web Development Engineer Pathway Syllabus
DevOps Engineer Pathway Syllabus
Course Description
Web Development Engineers design, build, and improve websites and features that stand out
for their innovation and accessibility. They work with different teams to understand customer
needs to ensure they’re creating the right experience. In this pathway, which contains ~50 hours
of learning, you’ll learn about the skills Web Development Engineers use to create dynamic,
scalable customer sites and apps.
Intended Audience
This survey course is aimed at individuals interested in cloud topics with little or no working knowledge of AWS.
Course Objectives
In this pathway, you’ll explore:
- Networking topics, including architecture, protocols, virtual private clouds, provisioning,
and some troubleshooting tips - Effective devops strategies for development
- Different programming and scripting languages necessary for this role, including Java,
C/C++C#, Python, Javascript, and using the command line interface - Data and data structures
More Details
Course Outline
Introduction
1. Introduction
2. Learning Objectives
3. Careers in the Cloud
Module 1: Software Development
1. Introduction
2. General
3. DevOps
4. DevOps Blue/Green
5. Infrastucture as Code
6. Programming – C, C++, C#
7. Programming – .NET
8. Programming – Java
9. Programming – Python
10. Scripting – CLI
11. Scripting – Javascript
12. Scripting – PHP
13. Scripting – Powershell
14. Scripting – Ruby
15. Knowledge Check
Module 2: software development: Web, mobile and gaming
1. Introduction
2. Web Development
3. Mobile
4. Mobile for Startups and Gaming
5. Knowledge Check
Module 3: Data and databases
1. Data Structures
2. Relational
3. Non-relational
4. Knowledge Check
Module 4: network
1. Introduction
2. Architecture
3. Troubleshooting
4. Provisioning
5. Directory Service
6. Knowledge Check
Performance Metrics
Each career pathway contains modules that dive into the key skills you’ll need to excel in that particular career. Every pathway includes:
- A knowledge check of 3 – 5 questions at the end of every module
- A final assessment of approximately 20 questions
- A scenario-based final project
Machine Learning Scientist Pathway Syllabus
Machine Learning Scientist Pathway Syllabus
Course Description
Machine Learning Scientists create the products of the future. They collaborate with subject matter experts, design algorithms, and develop predictive data models that result in new features and enhancements that delight customers. In this pathway, which contains ~20 hours of learning, you’ll be introduced to the skills a Machine Learning Scientist uses including distributed systems, programming and scripting and data analytics.
Intended Audience
This survey course is aimed at individuals interested in cloud topics with little or no working knowledge of AWS.
Course Objectives
In this pathway, you’ll explore:
- Define Machine Learning and related terminology
- Outline the Machine Learning process
- Summarize the AWS Machine Learning suite of services
- Identify necessary tools and frameworks used in Machine Learning
- List core competencies needed to be successful in the field of Machine Learning
- Identify jobs and careers in the Machine Learning field
More Details
Course Outline
Introduction
1. Introduction
2. Learning Objectives
3. Careers in the Cloud
Module 1: What is machine learning
1. Artificial Intelligence on AWS
2. What is AI and ML?
3. Use Cases
4. Knowledge Check
Module 2: AWS ML SErvices
1. The AWS ML Stack
2. API-based Services for Developers
3. Platform Services
4. Frameworks and Infrastructure
5. Knowledge Check
Module 3: core competencies and resources
1. Knowledge and Skills
2. Amazon Services Competencies
3. Extend your AI Reach
Performance Metrics
Each career pathway contains modules that dive into the key skills you’ll need to excel in that particular career. Every pathway includes:
- A knowledge check of 3 – 5 questions at the end of every module
- A final assessment of approximately 20 questions
- A scenario-based final project
Cybersecurity Specialist Pathway Syllabus
DevOps Engineer Pathway Syllabus
Course Description
As the world becomes more connected, security will continue to be a foundational element of technology. Cybersecurity Specialists use their expertise to identify security risks and protect computer systems, networks, applications, and data. In this pathway, which contains ~30 hours of learning, you’ll be introduced to the skills a Cybersecurity Specialist uses including network protocols, coding and risk identification and management.
Intended Audience
This survey course is aimed at individuals interested in cloud topics with little or no working knowledge of AWS.
Course Objectives
In this pathway, you’ll explore:
- Examine the AWS Shared Responsibility Model.
- Identify the security and compliance benefits of using the AWS cloud.
- Describe the basic features for access control and management.
- Describe AWS data encryption methods.
- Describe AWS services used to protect network security.
- Describe the basic steps to ensure strong governance of your AWS resources.
- Examine legal and regulatory issues related to cybersecurity.
More Details
Course Outline
Introduction
1. Introduction
2. Learning Objectives
3. Careers in the Cloud
Module 1: security basics in AWS
1. What is Cybersecurity
2. AWS Global Cloud Infrastructure
3. AWS Shared Security Responsibility Model
4. AWS Security Platform
5. Knowledge Check
Module 2: Identity and access management
1. Identity and Access Management
2. IAM Tutorials
3. Delegation, Federation, and Multi-Factor Authentication
4. IAM Best Practices
5. Knowledge Check
Module 3: securing your infrastructure
1. Introduction: Networking with AWS
2. Amazon Virtual Private Cloud (Amazon VPC)
3. AWS Direct Connect
4. Elastic Load Balancing
5. Amazon Route 53
6. Knowledge Check
Module 4: Data Encryption
1. AWS Key Management Service
2. Knowledge Check
Module 5: Monitoring and Logging
1. Security Threats
2. AWS CloutTrail
3. AWS CloudWatch
4. Amazon Inspector
5. Knowledge Check
Module 6: Legal and Regulatory Implications
1. Introduction: Cloud Compliance
2. AWS Assurance Programs
3. Knowledge Check
Performance Metrics
Each career pathway contains modules that dive into the key skills you’ll need to excel in that particular career. Every pathway includes:
- A knowledge check of 3 – 5 questions at the end of every module
- A final assessment of approximately 20 questions
- A scenario-based final project
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