Master Docker for real-world AI & ML workflows β Dockerfiles, Compose, Docker Model Runner, Model Context Protocol (MCP)
What you will learn
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Run and manage Docker containers tailored for AI/ML workflows
Containerize Jupyter notebooks, Streamlit dashboards, and ML development environments
Package and deploy Machine Learning models with Dockerfile
Publish your ML Projects to Hugging Face Spaces
Push and pull images from DockerHub and manage Docker image lifecycle
Apply Docker best practices for reproducible ML research and collaborative projects
LLM Inference with Docker Model Runner
Setup Agentic AI Workflows with Docker Model Context Protocol (MCP) Toolkit
Build and Deploy Containerised ML Apps with Docker Compose
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