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Welcome to the ultimate project-based course on Docker for AI/ML Engineers.
Whether you're a machine learning enthusiast, an MLOps practitioner, or a DevOps pro supporting AI teams āthis course will teach you how to harness the full power of Dockerfor AI/ML development, deployment, and consistency.
Whatās Inside?
This course is built aroundhands-on labs and real projects. You'll learn by doing ā containerizing notebooks, serving models with FastAPI, building ML dashboards, deploying multi-service stacks, and even running large language models (LLMs) using Dockerized environments.
Each module is a standalone project you can reuse in your job or portfolio.
What Makes This Course Different?
- Project-based learning: Each module has a real-world use case ā no fluff.
- AI/ML Focused: Tailored for the needs of ML practitioners, not generic Docker tutorials.
- MCP &LLM Ready: Learn how to run LLMs locally with Docker Model Runner and use Docker MCP Toolkit to get started with Model Context Protocol
- FastAPI, Streamlit, Compose, DevContainersā all in one course.