AWS Cloud Computing and AI Internship Course

Gain essential skills in AWS cloud computing, DevOps principles, and AI integration. Build a foundation for a successful tech career.

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Course curriculum

1. Getting Started
2. Who is Generation?
3. Work Schedule
4. Grading Rubrics
5. Baseline Form
1. AWS Cloud AI Corporate Overview
2. AWS Cloud and AI Roadmap
3. Policies and Procedure Metrics
1. Trainee Phase Introduction
2. Work Day 1 (Async): Introduction to Linux and Virtualization
3. Work Day 1 (Technical Session): Linux Users and Groups.
4. Work Day 1: Knowledge Check: Introduction to Linux and Virtualization
5. Work Day 1: Careers: Self-discovery and Growth
6. Work Day 2 (Async): Group Activity: Linux Users & Groups
7. Work Day 2: Group Activity Submission: Linux Users and Groups
8. Work Day 2 (Weekly Briefing): Linux Files and Permissions
9. Work Day 2: Knowledge Check: Linux File Systems and Permission
10. Work Day 2 (Cheat Sheet): Linux Processes and Services
11. Work Day 2: Knowledge Check: Linux Processes & Services
12. Work Day 3 (Async): Bash Scripting Assigned Task
13. Work Day 3 (Weekly Briefing): Bash Scripting
14. Work Day 3: Knowledge Check: Bash Scripting
15. Work Day 3: Careers: Assignment
16. Work Day 3 Careers Submission: Self Discovery Assignment
17. Work Day 4 (Weekly Briefing): Linux Server Configuration
18. Work Day 4: Knowledge Check: Linux Software Management & Server Configuration
19. Work Day 4 (Group Activity): Linux Software Management & Server Configuration
20. Work Day 5 (Group Practical Lab): Review of Users, Groups and File Permissions
21. Work Day 5 (Peer-Study): AWS Accounts Signup for Skillbuilder (AWS knowledge badge)
22. Work Week 1 Survey
1. Work Day 1 (Sync): Careers: Time Management
2. Work Day 1 (Async): Introduction to Cloud Computing
3. Work Day 1: Knowledge Check: Intro to AWS Cloud Computing
4. Work Day 1 (Cheat Sheet): Networking Fundamentals
5. Work Day 1: Knowledge Check: Networking
6. Work Day 1 (Async): Networking Group Activity (Cisco Packet Tracer)
7. Work Day 1: Assignment Submission: Cisco Packet Tracer
8. Work Day 1 (Technical Session): Networking in AWS Cloud
9. Work Day 1: Knowledge Check: Network In AWS
10. Work Day 2 (Technical Session): Network Threats, Security and Incident Recovery
11. Work Day 2 (Async): Practical Group Work on AWS Networking
12. Work Day 2: Group Activity Submission: Practical Group Work on AWS Networking
13. Work Day 2: Knowledge Check: Network Security
14. Work Day 2 (Cheat Sheet): Other Networking Threats
15. Work Day 3 (Technical Session): Networking and Content Delivery
16. Work Day 3: Knowledge Check: Networking and Content Delivery
17. Work Day 3 (Async): Careers: Assignment
18. Work Day 3: Careers Submission: Time Management
19. Work Day 4: Technical Session: AWS IAM
20. Work Day 4 (Async): Group Activity on IAM
21. Work Day 4: Group Activity Submission: AWS IAM
22. Work Day 4: Knowledge Check: IAM
23. Work Day 5 (Technical Session): Advanced Security on AWS
24. Work Day 5: Knowledge Check: Advanced Security on AWS
25. Work Day 5 (Peer Study): Research and Presentation on AWS Security Services
26. Work Day 5: Group Activity Submission: Research and Presentation on AWS Security Services
27. Work Week 2 Survey
1. Work Day 1 (Sync): Careers: Problem-solving, critical and strategic thinking
2. Work Day 1: Badge Submission: AWS Cloud Essentials Badge
3. Work Day 1 (Technical Session): Encryption Deep Dive
4. Work Day 1: Knowledge Check: Encryption
5. Work Day 1 (Async): AWS Compute Services
6. Work Day 2 (Technical Session): AWS Compute Services Pt. 2
7. Work Day 2: Knowledge Check: Compute
8. Work Day 3 (Technical Session): AWS Autoscaling & ELB
9. Work Day 3: Autoscaling Demo
10. Work Day 3: ELB Demo
11. Work Day 3 (Peer Study): Group Activity on AWS Auto Scaling and Load Balancing
12. Work Day 3: Group Activity Submission: AWS Auto Scaling and Load Balancing
13. Work Day 3 (Async): Careers Assignment
14. Work Day 3: Careers Submission: Problem Solving
15. Work Day 4 (Technical Session): Storage Solutions in AWS (S3)
16. Work Day 4 (Async): Storage Solutions in AWS (EBS, EFS, Storage Gateway)
17. Work Day 4: Knowledge Check: Storage
18. Work Day 5 (Peer Study): Static Website Hosting (Group Work)
19. Work Day 5: Group Activity Submission: Static Website Hosting
20. Work Day 5 (Technical Session): Practical Lab Session: EC2 & S3
21. Work Day 5: Practical Lab Submission: EC2 & S3
22. Work Week 3 Survey
1. Work Day 1 (Sync): Careers: Business Communication and Interpersonal skills
2. Work Day 1 (Async): Monitoring and Analytics
3. Work Day 1 (Office Hours): Databases Setup (Workbench Installation & Setup)
4. Work Day 1 (Technical Session): Database Services
5. Work Day 1: Knowledge Check: Database
6. Work Day 2 (Technical Session): Data in the Cloud (Data Lakes vs Databases, S3, Glue, Athena)
7. Work Day 2 (Async): Group Activity Review & AWS Monitoring
8. Work Day 2: Group Activity Submission: Review & AWS Monitoring
9. Work Day 3 (Async): Storage, Databases, Monitoring Review
10. Work Day 3 (Async): Careers Assignment
11. Work Day 3: Careers Submission: Business Communication
12. Work Day 3 (Technical Session): Group Activity: NoSQL Database – Simulearn & Report Activity
13. Work Day 4 (Technical Session): Migration
14. Work Day 4: Knowledge Check: Migration
15. Work Day 4 (Async): AWS Cloud Architecture
16. Work Day 4: Knowledge Check: AWS Well Architected Framework
17. Work Day 5 (Lab): Migration Group Activity
18. Work Day 5: Group Activity Submission: Migration Group Activity
19. Work Week 4 Survey
20. Work Month 1: Quarterly Survey
1. Work Day 1 (Sync): Careers: Freelance Brand
2. Work Day 1 (Async): Introduction to Terraform and IaC
3. Work Day 1: Knowledge Check: Terraform
4. Work Day 1 (Technical Session): Infrastructure Provisioning with Terraform
5. Work Day 2 (Cheat Sheet): Terraform Operations and Management
6. Work Day 2: Knowledge Check: Terraform Assessment
7. Work Day 2 (Peer Study): Group Activity on Terraform
8. Work Day 2: Group Activity Submission: Terraform
9. Work Day 2 (Technical Session): Provisioning AWS Lambda with Terraform (API Gateway, GET/POST, IAM, S3)
10. Work Day 3 (Technical): Key Docker Components
11. Work Day 3: Knowledge Check: Introduction to Docker
12. Work Day 3 (Peer Study): Group Activity – Container Detective
13. Work Day 3: Group Activity Submission: Container Detective
14. Work Day 3 (Async): Careers Assignment
15. Work Day 3: Careers Submission: Freelance
16. Work Day 3 (Async): Docker Files and CLI
17. Work Day 3: Knowledge Check: Dockerfiles and CLI
18. Work Day 4 (Technical Session): Multi-Container Applications with Docker Compose
19. Work Day 4 (Async): Group Activity: Creating Dockerfile
20. Work Day 4: Group Activity Submission: Creating Dockerfile
21. Work Day 5 (Cheat Sheet): Docker Security Best Practices
22. Work Day 5 (Technical Session): Docker Practical Lab Session 1: Using Docker Compose
23. Work Day 5 (Peer Study): Group Activity: Research & Present – Beyond Docker: The Container Ecosystem
24. Work Day 5: Group Activity Submission: Research & Present - Beyond Docker: The Container Ecosystem
25. Work Week 5 Survey
1. Work Day 1 (Sync): Careers: CV Surgery
2. Work Day 1 (Async): Kubernetes Architecture and Core Components
3. Work Day 1: Knowledge Check: Kubernetes Core Concepts
4. Work Day 1 (Async): Kubernetes Control Plane and Hands-On Cluster Setup
5. Work Day 1: Knowledge Check: Kubernetes Control Plane
6. Work Day 1: Setting Up Minikube and Kubectl
7. Work Day 1: Kubectl Basic Commands
8. Work Day 2 (Group Activity): Deploying with Kubernetes
9. Work Day 2: Group Activity Submission: Deploying Kubernetes
10. Work Day 2 (Technical Session): DevOps, CI/CD & Agile Culture
11. Work Day 3 (Async): Careers Assignment
12. Work Day 3: Careers Submission: CV
13. Work Day 3 (Technical Session): GitHub Introduction
14. Work Day 3 (Async): Git, Version Control & GitOps Concepts
15. Work Day 4 (Async): CI/CD Pipeline Architecture & AWS CI/CD Services Overview
16. Work Day 4: AWS CI/CD Re:Invent Video/Demo
17. Work Day 4: Knowledge Check: AWS CI/CD Services
18. Work Day 4 (Technical Session): Group Activity: Design & Build a CI/CD Pipeline
19. Work Day 4: Group Activity Submission: Design & Build a CI/CD Pipeline
20. Work Day 5 (Async): Understanding Roles & Simulated Environment – Introduction & Scenario Briefing
21. Work Day 5 (Technical Session): End-to-End CI/CD with GitHub Actions (GitOps in Practice)
22. Work Day 5: Group Activity Submission: End-to-End CI/CD with GitHub Actions (GitOps in Practice)
1. Work Day 1 (Sync): Careers: LINKEDIN MASTERY
2. Work Day 1 (Async): Trello Introduction
3. Work Day 1: Trello YT Video
4. Work Day 2 (Async): Agile Workflows & Jira – Agile Workflows & Work Tracking
5. Work Day 2 (Technical Session): Jira for Cloud Teams
6. Work Day 2: Knowledge Check: Jira For Cloud Teams
7. Work Day 3 (Async): Careers Assignment
8. Work Day 3: Careers Submission: LinkedIn
9. Work Day 3 (Async): Jira + GitHub Integration (Tracking Work from Jira into GitHub)
10. Work Day 3 (Technical Session): Slack for Cloud Team Communication
11. Work Day 4 (Technical Session): Group Activity: Design a Cloud Team Productivity Workflow
12. Work Day 4: Group Activity Submission: Design a Cloud Team Productivity Workflow
13. Work Day 5 (Technical Session): Lab: CI/CD & Monitoring – Automation and Operational Monitoring (GitHub Actions)
14. Work Day 5: Group Activity Submission: CI/CD & Monitoring with GitHub Actions
15. Work Week 7 Survey
1. Work Day 1 (Sync): Careers: Resume & Cover Letter
2. Work Day 1 (Technical Session): REST Basics, API Gateway, AWS Lambda and IAM Authorizers
3. Work Day 1: Knowledge Check: REST Basics, API Gateway, AWS Lambda and IAM Authorizers
4. Work Day 2 (Async): Microservices (Monolith vs Microservices, Service Isolation, Event-Driven Architectures)
5. Work Day 2 (Technical Session): Build a Simple REST API with API Gateway and Lambda
6. Work Day 2: Group Activity Submission: Build a Simple REST API with API Gateway & Lambda
7. Work Day 3: Careers- Submission of Updated Resume
8. Work Day 3 (Async): EventBridge, SQS and SNS
9. Work Day 3: Knowledge Check: Eventbridge, SQS and SNS
10. Work Day 3 (Technical Session): Troubleshooting & Operations (CloudWatch, CloudTrail, Health Dashboard)
11. Work Day 4: Knowledge Check: Troubleshooting & Operations
12. Work Day 4 (Async): Fundamentals of Machine Learning and AI (Amazon Q Badge Introduction)
13. Work Day 4 (Technical Session): Exploring Artificial Intelligence Use Cases and Applications
14. Work Day 4: Knowledge Check: Exploring AI Use Cases and Applications
15. Work Day 5: Badge Submission: Amazon Q Developer AI Badge
16. Work Week 8 Survey
17. Work Month 2: Quarterly Survey
1. Work Day 1 (Sync): Careers: JOB SEARCH STRATEGY
2. Work Day 1 (Async): Responsible Artificial Intelligence Practices
3. Work Day 1: Responsible AI: Foundations of Responsible AI
4. Work Day 1 (Async): Developing Machine Learning Solutions
5. Work Day 1: How to Predict Customer Churn using Amazon SageMaker
6. Work Day 1: Examples of Machine Learning Applications
7. Work Day 2: Introduction to Gen AI
8. Work Day 2 (Technical Session): Developing Generative Artificial Intelligence Solutions
9. Work Day 2: Knowledge Check: Developing Generative AI Solutions
10. Work Day 3 (Async): Careers Assignment
11. Work Day 3: Careers Submission: Job Search
12. Work Day 3 (Async): Security, Compliance, and Governance for AI Solutions
13. Work Day 3 (Technical Session): Simulearn: Create an AI Smart Assistant
14. Work Day 3 (Async): Essentials of Prompt Engineering
15. Work Day 3: Async: Prompt Engineering
16. Work Day 3 : Advanced Prompting Techniques
17. Work Day 3: Multimodal Prompting
18. Work Day 4 (Technical Session): AI Automation & AWS AI Tools (Amazon Q Business, Developer, Lambda Automation)
19. Work Day 4 (Async): Group Activity: AI Automation & AWS Automation Tools
20. Work Day 4: Group Activity Submission: AI Automation and AWS Automation Tools
21. Work Day 5 (Async): Group Activity: Explore Amazon Bedrock Playgrounds
22. Work Week 9 Survey
1. Work Day 1 (Sync): Careers: Handling Interview Questions
2. Work Day 1 (Technical Session): AI Automation Using n8n
3. Work Day 1: Building your First Workflow: N8N
4. Work Day 1: Knowledge Check: AI Automation with n8n
5. Work Day 2 (Technical Session): Group Activity: AWS PartyRock Task
6. Work Day 2: Learn to Create Gen AI apps with PartyRock
7. Work Day 2: Group Activity Submission: AWS PartyRock Task
8. Work Day 2 (Async): Edge & IoT (Edge Computing, Latency, AWS IoT Core, CloudFront)
9. Work Day 3 (Async): Careers Assignment - Handling Interview Question 1
10. Work Day 3: Careers Submission: Handling Interview Question 1
11. Work Day 3 (Technical Session): AI and ML Lab
12. Work Day 3: Group Activity Submission: AI and ML Lab
13. Work Day 4 (Technical Session): Cost Optimization and Billing (Cost Drivers, Billing Dashboard, Cost Explorer)
14. Work Day 4 (Knowledge Check): Cost Optimization and Billing.
15. Work Day 5: The Reality of AI and the Job Market
16. Work Day 5: Becoming an AI Native Cloud Engineer
17. Work Week 10 Survey
1. Intern Phase
2. Work Day 1: Project Milestone
3. Work Day 2: Project Milestone
4. Work Day 3: Project Milestone
5. Work Day 3 (Async): Careers Assignment
6. Work Day 3: Careers Submission: Interview 1
7. Work Day 4: Project Milestone
8. Work Day 5: Project Presentation Requirement
9. Work Day 5: Weekly Sprint Report Checklist.
10. Work Day 5: Project Submission
11. Work Week 11 Survey
1. Work Day 1 (Sync): Careers: NEGOTIATION SKILLS
2. Work Day 1: Project Milestones
3. Work Day 3 (Async): Careers Assignment
4. Work Day 3: Careers Submission: Negotiation
5. Work Day 5: Project Submission
6. Work Week 12 Survey
7. Work Month 3: Quarterly Survey
1. Work Day 1 (Sync): Careers: Remote Business Environment
2. Work Day 1: Project Milestones
3. Work Day 3 (Sync): Careers Assignment
4. Work Day 3: Careers Submission: Remote Work
5. Work Day 5: Project Submission
6. Work Week 13 Survey
1. Work Day 1 (Sync): Careers: Hi Azubi & Final Submissions
2. Work Day 2 (ASYNC): Introducing AI Agent Toolkit for AWS
3. Work Day 2(ASYNC): AWS Microcredential Introduction.
4. Work Day 3(ASYNC): Designing AI Agents for Production
5. Work Day 3(ASYNC): Building AI Agents on AWS
6. Work Day 4(ASYNC): Building an AI Agent from scratch using Python
7. Work Day 4(ASYNC): Deploying an AI Agent to production in minutes.
8. Work Day 5(ASYNC): Evaluating Agents
9. Work Week 14 Survey
10. Work Day: AWS Microcredentials Submission
11. Internship Completion Survey

About this course

Free
252 lessons
0.5 hours of video content

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AWS Cloud Computing and AI Internship Course

Course curriculum

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About this course

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