![[New] Ultimate Docker Bootcamp for ML, GenAI and Agentic AI](/static/course_page_images/new-ultimate-docker-bootcamp-for-ml-genai-and-agentic-ai.png)
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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