Made-With-ML

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<h1><img width="30" src="https://madewithml.com/static/images/rounded_logo.png">&nbsp;<a href="https://madewithml.com/">Made With ML</a></h1>
Design · Develop · Deploy · Iterate
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Join 40K+ developers in learning how to responsibly deliver value with ML.
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    <a target="_blank" href="https://madewithml.com/"><img src="https://img.shields.io/badge/Subscribe-40K-brightgreen"></a>&nbsp;
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    🔥&nbsp; Among the <a href="https://github.com/GokuMohandas/Made-With-ML" target="_blank">top ML repositories</a> on GitHub
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## Lessons

Learn how to combine machine learning with software engineering to design, develop, deploy and iterate on production-grade ML applications.

- Lessons: https://madewithml.com/
- Code: [GokuMohandas/Made-With-ML](https://github.com/GokuMohandas/Made-With-ML)

<a href="https://madewithml.com/#course">
  <img src="https://madewithml.com/static/images/lessons.png" alt="lessons">
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## Overview

In this course, we'll go from experimentation (design + development) to production (deployment + iteration). We'll do this iteratively by motivating the components that will enable us to build a *reliable* production system.

<blockquote>
  <img width=20 src="https://upload.wikimedia.org/wikipedia/commons/thumb/0/09/YouTube_full-color_icon_%282017%29.svg/640px-YouTube_full-color_icon_%282017%29.svg.png">&nbsp; Be sure to watch the video below for a quick overview of what we'll be building.
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  <a href="https://youtu.be/AWgkt8H8yVo"><img src="https://img.youtube.com/vi/AWgkt8H8yVo/0.jpg" alt="Course overview video"></a>
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- **💡 First principles**: before we jump straight into the code, we develop a first principles understanding for every machine learning concept.
- **💻 Best practices**: implement software engineering best practices as we develop and deploy our machine learning models.
- **📈 Scale**: easily scale ML workloads (data, train, tune, serve) in Python without having to learn completely new languages.
- **⚙️ MLOps**: connect MLOps components (tracking, testing, serving, orchestration, etc.) as we build an end-to-end machine learning system.
- **🚀 Dev to Prod**: learn how to quickly and reliably go from development to production without any changes to our code or infra management.
- **🐙 CI/CD**: learn how to create mature CI/CD workflows to continuously train and deploy better models