Cloud Computing

Cloud Computing + DevOps

Learn AWS, automation, deploy software solutions in the cloud, containerization, IaC and CI/CD from scratch in 12 weeks.

  • 12 weeks (48 hours+)
  • 2 × 2-hour live sessions each week
  • Live on Google Meet

Program snapshot

Twelve weeks of building on AWS, from first account to CI/CD pipeline.

Two live sessions a week, guided labs in between, and a deliverable at the end of every week.

Duration
12 weeks (48 hours+) · 2 × 2-hour live sessions each week (evenings / weekends)
Format
Live on Google Meet
Live contact
48 h instructor-led labs & walkthroughs
Independent work
≈ 60 h guided cloud labs & mini-projects
Capstone
Build & Deploy a Full CI/CD Pipeline
Career sprint
Week 12 – résumé & LinkedIn clinic · mock interviews · portfolio polish
Certificate
72 contact hours

Who it's for

For people who learn by building.

  1. 01IT professionals and career-changers who want cloud architecture, DevOps and SecDevOps skills
  2. 02Experienced professionals moving into cloud and DevOps work
  3. 03Anyone who learns best by building cloud infrastructure and CI/CD pipelines from day 1

Before you start

Prerequisites.

  • Comfort with basic CLI & text editor (VS Code)
  • AWS Free-Tier account (set up in pre-work). No prior cloud/IaC experience required

Learning outcomes

By week 10 you will have covered:

  1. 01Cloud fundamentals and a comparison of AWS, Azure and GCP
  2. 02Git and version control with GitHub workflows
  3. 03AWS compute and storage services (EC2, S3, Code Pipeline)
  4. 04Cloud networking and IAM security best practices
  5. 05Monitoring and logging with CloudWatch, SNS, CloudTrail, and Grafana
  6. 06DevOps and CI/CD fundamentals with GitHub Actions
  7. 07Docker containerization and container deployment strategies
  8. 08Infrastructure as Code with Terraform
  9. 09SecDevOps practices and security in development pipeline
  10. 10Build and deploy a complete CI/CD pipeline from scratch

Curriculum

The twelve-week plan.

Four hours live each week, with hands-on labs and a deliverable for every week.

  1. Week 01Cloud FundamentalsSession 1: AWS, Azure, GCP comparisonSession 2: Cloud Models and shared responsibilityDeliverable: Cloud comparison report and account setup
  2. Week 02Git and Version ControlSession 1: GitHub setup and basic commandsSession 2: Advanced Git workflows and collaborationDeliverable: GitHub repository with proper branching strategy
  3. Week 03Compute + StorageSession 1: EC2, S3, Code Pipeline basicsSession 2: Hands-on compute and storage labDeliverable: Deployed EC2 instance and S3 bucket
  4. Week 04Networking & IAM SecuritySession 1: Cloud security fundamentalsSession 2: Network infrastructure in the cloudDeliverable: Secure VPC setup with IAM policies
  5. Week 05Monitoring and LogsSession 1: CloudWatch, SNS, CloudTrailSession 2: Grafana and advanced monitoringDeliverable: Custom monitoring dashboard
  6. Week 06DevOps & CI/CD FundamentalsSession 1: Code Pipeline basicsSession 2: GitHub Actions workflowsDeliverable: Basic CI/CD pipeline
  7. Week 07Docker and ContainersSession 1: Docker basics and image buildingSession 2: Container best practicesDeliverable: Docker image with application
  8. Week 08Deploying ContainersSession 1: Docker Hub and container registrySession 2: ECS basics and container orchestrationDeliverable: Containerized application deployment
  9. Week 09Infrastructure as CodeSession 1: Terraform fundamentalsSession 2: Terraform modules and best practicesDeliverable: Terraform infrastructure deployment
  10. Week 10SecDevOpsSession 1: Securing development pipelineSession 2: Security scanning and complianceDeliverable: Secure CI/CD pipeline
  11. Week 11Capstone ProjectSession 1: Build & Deploy a Full CI/CD PipelineSession 2: Project presentation and reviewDeliverable: Complete CI/CD pipeline project
  12. Week 12Career WeekSession 1: Job search strategies and GitHub projectsSession 2: Mock interviews and portfolio reviewDeliverable: Career portfolio and interview preparation
Office Hours
Wed evening IaC debugging + Sun AM architecture reviews.
Capstone Project
Design, deploy & monitor a serverless micro-service on AWS.

Tool stack

The tools you use from week 1.

AWS, Azure, GCP
Multi-cloud platforms and services
GitHub
Version control and collaboration
Docker
Containerization and container management
Terraform
Infrastructure as Code
GitHub Actions
CI/CD pipelines & automation
CloudWatch
Monitoring, logging & dashboards
Grafana
Advanced monitoring and visualization
ECS/Fargate
Container orchestration and deployment

Assessment

How your work is graded.

To pass: ≥ 70% overall + all mandatory artefacts.

Weekly labs
40%
9 weekly assignments
Capstone project
35%
Final project and demo
Mock interview
15%
Career preparation
Participation
10%
Live sessions and forums

Tuition

Price and payment.

Questions? Email support@deepwavelearning.com, read the FAQ or contact us.

Standard tuition
$1,899
Payment
Full payment required upon registration
Refund policy
100% until end of Week 1 · 50% until end of Week 2 · No refunds after Week 2

Enrol in the next cohort, or start with an info session.

Info sessions are free and walk through the curriculum, the lab setup and the schedule.