Free Udemy Course __ [New] Ultimate Docker Bootcamp for ML, GenAI and Agentic AI

Master Docker for real-world AI & ML workflows — Dockerfiles, Compose, Docker Model Runner, Model Context Protocol (MCP)

4.5 (11,946 students students enrolled) English
data-science Machine Learning
[New] Ultimate Docker Bootcamp for ML, GenAI and Agentic AI

What You'll Learn

  • 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

Requirements

  • Basic understanding of Python — you don’t need to be an expert, but you should be comfortable running scripts or working in notebooks.
  • Familiarity with Machine Learning concepts — knowing what a model is, and having used libraries like scikit-learn, pandas, or TensorFlow will help.
  • Laptop with Docker/Rancher installed — we’ll walk you through setting up Docker Desktop for Windows, macOS, or Linux.
  • A GitHub account (recommended) — for accessing project code and pushing your own.
  • Curiosity to build real-world AI/ML projects with Docker — no prior Docker experience is required!

Who This Course is For

  • Data Scientists and ML Engineers who want to productionize their workflows
  • AI/ML Practitioners looking to containerize and deploy models easily
  • DevOps Engineers supporting AI teams and looking to build ML-ready pipelines
  • AI Hobbyists and Learners who want to run LLMs or dashboards locally using containers
  • Anyone tired of “it works on my machine” issues in ML environments

Your Instructor

Gourav J. Shah

Premium Instructor | 200,000+ Students | DevOps/AIOps/MLOps

4.4 Instructor Rating

5,208 Reviews

212,226 Students

27 Courses

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