[New] Ultimate Docker Bootcamp for AI/ML,MLOps Practitioners

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