Contributors
Covers: theory of
How to use this item?

this is a long video that describes everything you need to know about Kubernetes. Skim as needed

Maryam

Getting Started with Mathematics of Deep Learning

Amir

Getting Started with Graph Neural Networks

Fail to play? Open the link directly: https://www.youtube.com/watch?v=X48VuDVv0do
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Getting Started With Machine Learning Operation - MLOps

Contributors
Total time needed: ~8 hours
Objectives
This recipe aims to get you started and prepare you to operationalize your ML models
Potential Use Cases
machine learning model productionization
Who is This For ?
INTERMEDIATEData Scientists, Machine Learning Engineers
Click on each of the following annotated items to see details.
Resources
VIDEO 1. Introduction to MLOps
  • What is MLOps?
  • How can I use MLOps?
2 minutes
RECIPE 2. Preparing Trained Models for Production
81 minutes
RECIPE 3. Delivering your Models to End Users
2 hours
RECIPE 4. Preparing Your Infrastructure for Production
57 minutes
VIDEO 5. Creating an AWS account and GitHub account
  • How to set up AWS?
  • How to set up GitHub?
10 minutes
VIDEO 6. Intro to Terraform
  • What is teraform used for?
12 minutes
VIDEO 7. Cortex Platform Demo
  • How can Cortex be used for model deployment?
14 minutes
RECIPE 8. What Is MLOps?
3 hours
VIDEO 9. Anaconda - Installation and Using Conda
  • How to install and use conda?
11 minutes
ARTICLE 10. Deploy Machine Learning Pipeline on AWS Fargate
  • How can we deploy models to AWS?
30 minutes
VIDEO 11. Kubernetes Tutorial for Beginners [FULL COURSE in 4 Hours] - YouTube
10 minutes

Concepts Covered

Manuel Ángel Suarez Álvarez.
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