Introduction to MLOps

A walkthrough of Chapter 1 of the O'Reilly book Practical MLOps.
Topics include:
* DevOps
* MLOps
* DataOps
* ML Platforms
* Sagemaker
* Continuous Integration and Continuous Deployment
* MLOps cookbook
* ML Engineering
* Data Engineering
* Spark
* GCP
* Azure
* Containers
* Kaizen
Buy Copy of Practical MLOps book here: www.amazon.com/Practical-MLOp...
View Source Code for Practical MLOps book here: github.com/noahgift If you enjoyed this video, here are additional resources to look at:
Coursera + Duke Specialization: Building Cloud Computing Solutions at Scale Specialization: www.coursera.org/specializati...
✨I build courses: insight.paiml.com/bzf
📚LLMOps Specialization: insight.paiml.com/a8e
📚Introduction to Generative AI: insight.paiml.com/ee2
📚Operationalizing LLMs on Azure: insight.paiml.com/e2u
📚Databricks to Local LLMs: insight.paiml.com/i6k
📚Advanced Data Engineering: insight.paiml.com/uvi
📚GenAI and LLMs on AWS: insight.paiml.com/3x7
📚Open Source LLMOps Solutions: insight.paiml.com/x0g
📚Foundations of Local Large Language models: insight.paiml.com/rvy
📚Rust Programming Specialization: insight.paiml.com/qwh
📚Rust for DevOps: insight.paiml.com/x14
📚Rust LLMOps: insight.paiml.com/g3b
📚Rust Fundamentals: insight.paiml.com/qyt
📚Data Engineering with Rust: insight.paiml.com/zm1
📚Python and Rust with Linux Command Line Tools: insight.paiml.com/jot
📚Applied Python Data Engineering Specialization: insight.paiml.com/5r9
📚Data Visualization with Python: insight.paiml.com/y9p
📚Virtualization, Docker, and Kubernetes for Data Engineering: insight.paiml.com/xtp
📚Spark, Hadoop, and Snowflake for Data Engineering: insight.paiml.com/f6j
📚MLOps | Machine Learning Operations Specialization: insight.paiml.com/l5u
📚Python Essentials for MLOps: insight.paiml.com/uvm
📚DevOps, DataOps, MLOps: insight.paiml.com/ggi
📚MLOps Tools: MLflow and Hugging Face: insight.paiml.com/y2v
📚MLOps Platforms: Amazon SageMaker and Azure ML: insight.paiml.com/ymb
📚Python, Bash and SQL Essentials for Data Engineering Specialization: insight.paiml.com/2or
📚Linux and Bash for Data Engineering: insight.paiml.com/d31
📚Scripting with Python and SQL for Data Engineering: insight.paiml.com/n3b
📚Python and Pandas for Data Engineering: insight.paiml.com/nz7
📚Web Applications and Command-Line Tools for Data Engineering: insight.paiml.com/o86
📚Building Cloud Computing Solutions at Scale Specialization: insight.paiml.com/hrt
📚Cloud Computing Foundations: insight.paiml.com/zrb
📚Cloud Data Engineering: insight.paiml.com/75t
📚Cloud Machine Learning Engineering and MLOps: insight.paiml.com/jjh
📚Cloud Virtualization, Containers and APIs: insight.paiml.com/ce5
O'Reilly Book: Practical MLOps: www.amazon.com/Practical-MLOp...
O'Reilly Book: Python for DevOps: www.amazon.com/gp/product/B08...
Pragmatic AI: An Introduction to Cloud-based Machine Learning: www.amazon.com/gp/product/B07...
Pragmatic AI Labs Book: Python Command-Line Tools: www.amazon.com/gp/product/B08...
Pragmatic AI Labs Book: Cloud Computing for Data Analysis : www.amazon.com/gp/product/B09...
Pragmatic AI Book: Minimal Python: www.amazon.com/gp/product/B08...
Pragmatic AI Book: Testing in Python: www.amazon.com/gp/product/B08...
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[@lukaspga]

Awesome content! Loving your book.

[@pragmaticai]

Glad to hear it!

[@datascience8775]

Great content.

[@SeadoooRider]

Someone wrote bad review about those diagrams. To be honest, I like it, infact it looks like my handwritting. Tired of old school rigid boxes. This is easy to read and get pictured in head
Keep up the good work!! I really enjoy this book

[@pragmaticai]

Thanks for the shoutout!

[@urbanizeedDzn]

thanks a lot, great content

[@pragmaticai]

You are welcome!

[@sushilkokil1997]

Super useful content...

[@pragmaticai]

Glad to hear that

[@sohailhosseini2266]

Thanks for the video!

[@pragmaticai]

You're welcome!

[@sohailhosseini2266]

@@pragmaticai I am really your book at O'reilly which is awesome!
I wish you had videos for each chapter there too.

[@zappist751]

Love the video! What is the resource you are using for the notes?

[@pragmaticai]

I use sketch.io/sketchpad/ and iPad mainly

[@zappist751]

@@pragmaticai Thank you :D