Week 1: Linux fundamentals, command‑line basics, and shell scripting.

Week 2: Operating systems concepts – file systems, processes, and resource management.

Week 3: Networking fundamentals – TCP/IP, DNS, HTTP/HTTPS, and basic troubleshooting.

Week 4: Version control with Git – best practices for team collaboration.

Week 5: Introduction to CI/CD – concepts, tools (Jenkins, GitLab CI), and basic pipeline setups.

Week 6: Build automation – configuring and running build tools.

Week 7: Containerization with Docker – images, containers, and Dockerfiles.

Week 8: Docker Compose and multi‑container orchestration basics.

Week 9: Cloud computing overview – key AWS, GCP, and Azure services.

Week 10: Infrastructure as Code (IaC) – introduction to Terraform fundamentals.

Week 11: Configuration management with Ansible basics.

Week 12: Hands‑on integration: Create a CI/CD pipeline using Docker and deploy to a cloud VM.

Week 13: Deep dive into cloud services – AWS EC2, S3, RDS, best practices.

Week 14: Advanced Terraform – modules, state management, and remote state back‑ends.

Week 15: Kubernetes fundamentals – pods, deployments, and services.

Week 16: Advanced Kubernetes – StatefulSets, DaemonSets, and Helm charts.

Week 17: Enhancing CI/CD pipelines – integrating security scans and automated testing.

Week 18: Monitoring & logging – using Prometheus, Grafana, and the ELK stack.

Week 19: Cloud security – IAM, VPC, security groups, and compliance strategies.

Week 20: Serverless architecture – AWS Lambda, API Gateway, and event‑driven designs.

Week 21: Scripting for automation – using Python for DevOps tasks.

Week 22: Disaster recovery, backup strategies, and cost optimization.

Week 23: Industry case studies on high‑availability architectures.

Week 24: Mid‑project: Build a robust cloud pipeline integrating Docker, Kubernetes, and Terraform.

Weeks 25–28:

• Project planning: Define a scalable infrastructure project (e.g., a resilient web service).

• Develop and document a complete CI/CD and cloud automation strategy.

Weeks 29–32:

• Implement Kubernetes clusters, advanced orchestration, monitoring, and security.

• Load testing, performance tuning, and iterative mentor reviews.

Weeks 33–36:

• Final integration, live cloud deployment, and cost analysis.

• Prepare detailed documentation, portfolio pieces, and a final presentation.