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fmind / mlops-coding-course

Learn how to create, develop, and maintain a state-of-the-art MLOps code base

Why this job: topics: tutorial

What it does

  • Hands-on Python Coding. Learn to code with Python in a way that's directly applicable to real-world AI projects.
  • Project-Driven Learning. Each chapter ends with an observable checkpoint and an interpretation question to help you apply what you've learned.
  • MLOps Techniques. Gain insights into effective MLOps coding strategies that streamline the development and deployment of AI/ML models.
  • Open Source Tools. Familiarize yourself with industry-standard tools like uv, Ruff, ty, pytest, MLflow, mise, lefthook, GitHub, and VS Code.
  • Mentoring sessions. Boost your learning experience with personalized feedback and expert insights from the course authors.

Get started

No single install command. Read the steps in the README (opens in new tab)

Maintenance
Active
Last commit yesterday
Stars
745
On GitHub
Licence
CC-BY-4.0
Read the terms
Downloads for
None listed
No release files
Latest version
v7.1.0
Released 28 days ago
Built with
Not stated

Is it looked after?

Contributors
1
Last 90 days
Issues
100% closed
0 still open
Pull requests
32 merged
0 waiting
Releases
3
3 in the last year

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More: topics and project record

Topics

  • best-practices
  • coding
  • courses
  • mlops
  • python
  • data-science
  • machine-learning
  • mkdocs
  • tutorial
  • uv

Project record

  • JobLists and guides
  • StatusListed
  • Commits162
  • Forks132
  • Watching9
  • Stars in 28 days+4
  • CreatedJan 28, 2024
  • First seen by usNov 7, 2026
  • CheckedNov 9, 2026

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