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: https://www.amazon.com/Practical-MLOps-Operationalizing-Machine-Learning/dp/1098103017
View Source Code for Practical MLOps book here: https://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: https://www.coursera.org/specializations/building-cloud-computing-solutions-at-scale
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📚LLMOps Specialization: https://insight.paiml.com/a8e
📚Introduction to Generative AI: https://insight.paiml.com/ee2
📚Operationalizing LLMs on Azure: https://insight.paiml.com/e2u
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📚GenAI and LLMs on AWS: https://insight.paiml.com/3x7
📚Open Source LLMOps Solutions: https://insight.paiml.com/x0g
📚Foundations of Local Large Language models: https://insight.paiml.com/rvy
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📚Virtualization, Docker, and Kubernetes for Data Engineering: https://insight.paiml.com/xtp
📚Spark, Hadoop, and Snowflake for Data Engineering: https://insight.paiml.com/f6j
📚MLOps | Machine Learning Operations Specialization: https://insight.paiml.com/l5u
📚Python Essentials for MLOps: https://insight.paiml.com/uvm
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📚MLOps Tools: MLflow and Hugging Face: https://insight.paiml.com/y2v
📚MLOps Platforms: Amazon SageMaker and Azure ML: https://insight.paiml.com/ymb
📚Python, Bash and SQL Essentials for Data Engineering Specialization: https://insight.paiml.com/2or
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📚Scripting with Python and SQL for Data Engineering: https://insight.paiml.com/n3b
📚Python and Pandas for Data Engineering: https://insight.paiml.com/nz7
📚Web Applications and Command-Line Tools for Data Engineering: https://insight.paiml.com/o86
📚Building Cloud Computing Solutions at Scale Specialization: https://insight.paiml.com/hrt
📚Cloud Computing Foundations: https://insight.paiml.com/zrb
📚Cloud Data Engineering: https://insight.paiml.com/75t
📚Cloud Machine Learning Engineering and MLOps: https://insight.paiml.com/jjh
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O'Reilly Book: Practical MLOps: https://www.amazon.com/Practical-MLOps-Operationalizing-Machine-Learning/dp/1098103017
O'Reilly Book: Python for DevOps: https://www.amazon.com/gp/product/B082P97LDW/
Pragmatic AI: An Introduction to Cloud-based Machine Learning: https://www.amazon.com/gp/product/B07FB8F8QP/
Pragmatic AI Labs Book: Python Command-Line Tools: https://www.amazon.com/gp/product/B0855FSFYZ
Pragmatic AI Labs Book: Cloud Computing for Data Analysis : https://www.amazon.com/gp/product/B0992BN7W8
Pragmatic AI Book: Minimal Python: https://www.amazon.com/gp/product/B0855NSRR7
Pragmatic AI Book: Testing in Python: https://www.amazon.com/gp/product/B0855NSRR7
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