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
