16-Week + Bonus MLOps Week DevOps & Cloud Engineering Curriculum
From Linux fundamentals to MLOps. 34 hands-on sessions covering everything you need to launch your cloud career in the AI era.
PHASE 1: FOUNDATIONS
Master Linux, networking, Git, and Python-the foundational skills for every DevOps engineer.
PHASE 2: CONTAINERISATION AND CI/CD
Learn Docker, Docker Compose, and GitHub Actions. Build CI/CD pipelines and start your course project.
PHASE 3: CLOUD AND ARCHITECTURE
Master AWS core services, Boto3 automation, and application/infrastructure architecture design.
PHASE 4: INFRASTRUCTURE AS CODE
Define infrastructure as code with Terraform: modules, remote state, and team workflows.
PHASE 5: KUBERNETES AND GITOPS
Deploy and manage applications on Kubernetes. Implement GitOps workflows with ArgoCD.
PHASE 6: OBSERVABILITY AND SECURITY
Build comprehensive monitoring with Prometheus and Grafana. Implement security best practices and compliance.
PHASE 7: PROJECT DEMOS AND CAREER READINESS
Present your final project and prepare for the job market with resume, portfolio, and interview prep.
BONUS WEEK: MLOPS
Apply DevOps principles to machine learning: experiment tracking, model deployment, drift detection, and production ML.
Ready to Master Cloud & DevOps?
Join the next cohort starting April 10, 2026. Only 15 spots available.
Enroll Now →