Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

https://github.com/pyladiesams/bootcamp-bringing-ml-models-into-production-intermediary-jun-aug2021

6 week-long Python hands-on MLOps Bootcamp following a real-life industry scenario.
https://github.com/pyladiesams/bootcamp-bringing-ml-models-into-production-intermediary-jun-aug2021

azure azure-blob azure-functions azure-pipelines bootcamp mlops python

Last synced: 3 months ago
JSON representation

6 week-long Python hands-on MLOps Bootcamp following a real-life industry scenario.

Awesome Lists containing this project

README

        

# Welcome to Python Bootcamp: **Bringing ML models into production**

## Bootcamp description
It's a 6 week-long [PyLadies Amsterdam](https://amsterdam.pyladies.com/) Python hands-on Bootcamp following a real-life industry scenario (presented by [Dexter](https://dexterenergy.ai/)). Teaser: it’s all about energy :)

After finishing this bootcamp you will know more about:
* machine learning project lifecycle building blocks
* machine learning model deployments scenarios
* how to prepare your machine learning model for deployment
* hands-on with batch and real-time serverless deployments on Azure
* best practices, common mistakes to avoid during the deployment process

In this repository you will find:
* The content to follow our live sessions with home assignments
* Capstone assignment

## Prerequisites
- git
- docker
- bash shell (git bash on Windows, bash on Linux, zsh/bash on Mac)
- Miniconda (or Anaconda)
- Visual Studio Code
- Hands-on Python data science related experience
- Some modeling experience with scikit-learn library is a pre
- Active Azure subscription

## Out of the scope
- deep learning model deployments
- deployments in different programming languages than Python

## Video records
Watch the lesson videos on the [PyLadies Amsterdam YouTube channel](https://youtube.com/pyladiesamsterdam) and subscribe :P
- Lesson 1 Introduction [here](https://youtu.be/irwDv_wDyQc)
- Lesson 2 Batch deployment [here](https://youtu.be/G1qxR1Hi3i8)
- Lesson 3 Near real-time deployment [here](https://youtu.be/O7hfLDMizyA)
- Lesson 4 ML Best practices [here](https://youtu.be/J2XgPmsTfGU)
- Capstone results [here](https://youtu.be/aLReepA68Nk)

## Credits
This bootcamp was set up by @pyladiesams and @EzheZhezhe