> For the complete documentation index, see [llms.txt](https://docs.productizeml.com/productize-ml/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.productizeml.com/productize-ml/readme.md).

# ProductizeML

A self-study guide for teams building Artificial Intelligence and Machine Learning products.

## About the course

**ProductizeML** provides guidelines and best practices for managing the **end-to-end Machine Learning life cycle** and its *productization*.

![](https://4117164708-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F-MFCNLySTC0Jf6imOp3y%2Fuploads%2Fgit-blob-5ae2ed89067397230085d86f662d83b0d2e74c1c%2FLifecycle.png?alt=media)

The course will start diving into the fundamentals around the **Machine Learning** algorithms, from the supervised and unsupervised learning strategies to the latest advances in deep learning techniques; followed by some recommended ways of **accessing and managing data**. Tips and best practices when **training and evaluating models** will be provided. And last but not least, the core piece of this course: how to **bring it to production** and make an outstanding product out of it!

![](https://4117164708-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F-MFCNLySTC0Jf6imOp3y%2Fuploads%2Fgit-blob-b1dcd494a6952e85918dd78e6c1fb4421a7fe744%2Fcourse-lectures.png?alt=media)

## Why ProductizeML?

* **Learn** **to** **develop** an ML product that can be included in your business solution.
* **Join the community** to interact and share with mentors and fellow students.
* **Manage your time** to go through the course material at your own pace.
* **Practice** with real-world examples built by industry experts.

![](https://4117164708-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F-MFCNLySTC0Jf6imOp3y%2Fuploads%2Fgit-blob-4b209dab9368d57801511d1ad9dd4bc55745746e%2Fintro.png?alt=media)

For more information on how to start this course, please read the course's[ ](https://productize.ml/Objectives-2abf4db47bb745748f745efa276e5b85)\*\*\*\*[**Objectives**](/productize-ml/introduction/objectives.md) and[ ](https://productize.ml/Guidelines-44840ce96a424e4390a6856878b65d59)\*\*\*\*[**Guidelines**](/productize-ml/introduction/guidelines.md).

Join the community at [![Discord](https://camo.githubusercontent.com/721a04c8d44d23c9284fbe1eac71f39b6f544db7/68747470733a2f2f696d672e736869656c64732e696f2f646973636f72642f3436333735323832303032363337363230322e7376673f6c6162656c3d266c6f676f3d646973636f7264266c6f676f436f6c6f723d66666666666626636f6c6f723d373338394438266c6162656c436f6c6f723d364137454332)](https://discord.gg/gP6z2nR) and follow us on [Twitter](https://twitter.com/productizeML/)!

{% hint style="info" %}
This course is **constantly growing and expanding**, meaning that some sections might be under construction 🚧 — do NOT panic, and instead leave a message of what you would like to see!
{% endhint %}

## Course Lectures

### Lectures Breakdown

{% content-ref url="/pages/-MFCcedVyjmcVzrCy9uK" %}
[Why ML, and why now](/productize-ml/machine-learning/why-ml-and-why-now.md)
{% endcontent-ref %}

{% content-ref url="/pages/-MFkmaZYKhCej3b2EG5b" %}
[Supervised Learning](/productize-ml/machine-learning/supervised-learning.md)
{% endcontent-ref %}

{% content-ref url="/pages/-MFpDI970QqkyS1AEJ-8" %}
[Unsupervised Learning](/productize-ml/machine-learning/unsupervised-learning.md)
{% endcontent-ref %}

{% content-ref url="/pages/-MFpDtLR43hi\_asB7Udq" %}
[Deep Learning](/productize-ml/machine-learning/deep-learning.md)
{% endcontent-ref %}

{% content-ref url="/pages/-MFCciYjMRlQ3Yi2oq-b" %}
[Data Access](/productize-ml/data-management/untitled.md)
{% endcontent-ref %}

{% content-ref url="/pages/-MFpGEwMqdW6PaecrYhN" %}
[Data Collection](/productize-ml/data-management/data-collection.md)
{% endcontent-ref %}

{% content-ref url="/pages/-MFpGZanZEASoZzQNqx7" %}
[Data Curation](/productize-ml/data-management/data-curation.md)
{% endcontent-ref %}

{% content-ref url="/pages/-MFCckcC67H97J1toxsR" %}
[Framework and Hardware](/productize-ml/train-and-evaluate/untitled.md)
{% endcontent-ref %}

{% content-ref url="/pages/-MFpHGnAup\_2OmBlE3x9" %}
[Training Neural Networks](/productize-ml/train-and-evaluate/training-neural-networks.md)
{% endcontent-ref %}

{% content-ref url="/pages/-MFpH\_b-lh9i6Lboj5pv" %}
[Model Evaluation](/productize-ml/train-and-evaluate/model-evaluation.md)
{% endcontent-ref %}

{% content-ref url="/pages/-MFCcnzTwqVOScJafEjq" %}
[ML Life Cycle](/productize-ml/productize-it/ml-lifecycle.md)
{% endcontent-ref %}

{% content-ref url="/pages/-MK9Cg\_yjccOWr82g\_aa" %}
[Business Objectives](/productize-ml/productize-it/business-objectives.md)
{% endcontent-ref %}

{% content-ref url="/pages/-MK9Fpt5CvYNFc5frkoG" %}
[Data Preparation](/productize-ml/productize-it/data-preparation.md)
{% endcontent-ref %}

{% content-ref url="/pages/-MK9IGO6IRHea3R364I9" %}
[Model Development](/productize-ml/productize-it/model-development.md)
{% endcontent-ref %}

{% content-ref url="/pages/-MK9IUqLzMh6Zgvb9vXO" %}
[Train, Evaluate, and Deploy](/productize-ml/productize-it/train-evaluate-deploy.md)
{% endcontent-ref %}

{% content-ref url="/pages/-MK9FVeUuLDmCV4FgeP2" %}
[A/B Testing](/productize-ml/productize-it/a-b-testing.md)
{% endcontent-ref %}

![](https://4117164708-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F-MFCNLySTC0Jf6imOp3y%2Fuploads%2Fgit-blob-b1fb8bab49d66665a11e154213177587633a0238%2FGroup%201.png?alt=media)

{% embed url="<https://youtu.be/B7_xPTQtZIE>" %}

### About us

![](https://4117164708-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F-MFCNLySTC0Jf6imOp3y%2Fuploads%2Fgit-blob-c5137d6ef12d941b8b59e97e29edb3a5d30dda7b%2Fabout-us.png?alt=media)

**Have a question or suggestion?** You can reach out at [`adria@hey.com`](mailto:adria@productize.ml) .