Course Overview
- Course Title: [New] Ultimate Docker Bootcamp for AI/ML,MLOps Practitioners
- Instructor: Gourav Shah
- Target Audience:
- Machine learning enthusiasts
- MLOps practitioners
- DevOps professionals supporting AI teams
- Prerequisites:
- Basic understanding of Python
- Familiarity with Machine Learning concepts
- Laptop with Docker/Rancher installed
- A GitHub account (recommended)
- Curiosity to build real-world AI/ML projects with Docker
Curriculum Highlights
- Key Topics Covered:
- Running and managing Docker containers for AI/ML workflows
- Containerizing Jupyter notebooks, Streamlit dashboards, and ML development environments
- Packaging and deploying Machine Learning models with Dockerfile
- Publishing ML projects to Hugging Face Spaces
- Pushing and pulling images from DockerHub and managing Docker image lifecycle
- Applying 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
- Building and deploying containerized ML apps with Docker Compose
- Key Skills Learned:
- Containerizing development environments
- Deploying models with FastAPI and Docker
- Building ML dashboards with Streamlit
- Running Large Language Models (LLMs) in Dockerized environments
- Using Docker Compose for multi-service stacks
- Implementing CI/CD pipelines for Docker images
Course Format
- Duration: 5.5 hours on-demand video
- Format: Self-paced online course
- Resources:
- Role Play
- 8 articles
- 3 downloadable resources
- Access on mobile and TV
- Certificate of completion