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Made With ML

Develop ยท Deploy ยท Maintain

Join 40K+ developers in learning how to responsibly deliver value with ML.

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๐Ÿ†  Among the top ML repositories on GitHub.
โค๏ธ  40K+ community members and growing.
๐Ÿ› ๏ธ  Highly recommended industry resource.


Learn the foundations of machine learning through intuitive explanations, clean code and visualizations. → GokuMohandas/Made-With-ML

1. ๐Ÿ›  Toolkit
3. ๐Ÿค– Deep Learning

MLOps course

Learn how to combine machine learning with software engineering to develop, deploy & maintain production ML applications. → GokuMohandas/mlops-course

4. ๐Ÿ’ป Developing 5. ๐Ÿ“ฆ Serving 6. โœ… Testing
7. โ™ป๏ธ Reproducibility 8. ๐Ÿš€ Production 9. โŽˆ Data engineering


Every lesson is written with the following principles:

We never jump straight to code, instead we develop an intuition for the concepts first.
Instead of just discussing MLOps concepts, we code everything (project-based).
It's not just about ML, it's also about software engineering best practices.
Lessons easily extend across different algorithms, data modalities, tech stacks, etc.

Meet your instructor

Goku Mohandas

Hi, I'm Goku Mohandas

Over the past 7 years, I've worked on ML at a large company (NLP & ML platform @Apple), a startup in the oncology space (led the ML team @Ciitizen [acquired]) and ran my own startup in the rideshare space (HotSpot). Throughout my journey, I've worked with brilliant engineering and product teams and learned how to responsibly develop, deploy and iterate on ML systems across various industries, stacks and scale.

I currently work closely with teams from early-stage/F500 companies in helping them develop, deploy and maintain production ML applications while diving into the best and bespoke practices of this rapidly evolving space. I also collaborate with the best tooling/platform companies who share our mission of making responsible ML easier and faster. I want to share this knowledge with the rest of the world so we can accelerate progress in this space.

ML is not a separate industry, instead, it's a powerful way of thinking about data, so let's make sure we have a solid foundation before we start changing the world with it. Made With ML is our medium to catalyze this goal and though we're off to great start, we still have a long way to go.

โค๏ธ Wall of Love

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To cite this content, please use:

    author       = {Goku Mohandas},
    title        = { Home - Made With ML },
    howpublished = {\url{}},
    year         = {2022}