Skip to content

README.md

Latest commit

 

History

History
51 lines (36 loc) · 1.86 KB

README.md

File metadata and controls

51 lines (36 loc) · 1.86 KB

MLOps Code Examples

License: CC BY-NC-SA 4.0

This repository contains learning activities and code examples from the MLOps course.

Repository Structure

Each module has its own directory containing hands-on exercises:

module1/    # ML Fundamentals & Development Environment
module2/    # Model Serving & APIs
module3/    # Containerization & CI/CD
module4/    # Pipeline Orchestration & Experiment Tracking
module5/    # Cloud Deployment & Scaling
module6/    # LLM Serving & Optimization
module7/    # RAG & Agentic AI
module8/    # Monitoring & Governance

Getting Started

Each subdirectory contains:

  • mwe/ - Minimal Working Examples with step-by-step instructions
  • lab/ - Lab exercises (where applicable)
  • README.md files with setup and usage instructions

Navigate to any example directory and follow its README for instructions.

Requirements

Most examples require:

  • Python 3.10+
  • Docker (for containerized examples)
  • See individual requirements.txt files for specific dependencies

License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

You are free to:

  • Share — copy and redistribute the material in any medium or format
  • Adapt — remix, transform, and build upon the material

Under the following terms:

  • Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made
  • NonCommercial — You may not use the material for commercial purposes
  • ShareAlike — If you remix, transform, or build upon the material, you must distribute your contributions under the same license

See the LICENSE file for details.