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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-MLOp... 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/specializati... ✨I build courses: https://insight.paiml.com/bzf 📚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 📚Databricks to Local LLMs: https://insight.paiml.com/i6k 📚Advanced Data Engineering: https://insight.paiml.com/uvi 📚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 📚Rust Programming Specialization: https://insight.paiml.com/qwh 📚Rust for DevOps: https://insight.paiml.com/x14 📚Rust LLMOps: https://insight.paiml.com/g3b 📚Rust Fundamentals: https://insight.paiml.com/qyt 📚Data Engineering with Rust: https://insight.paiml.com/zm1 📚Python and Rust with Linux Command Line Tools: https://insight.paiml.com/jot 📚Applied Python Data Engineering Specialization: https://insight.paiml.com/5r9 📚Data Visualization with Python: https://insight.paiml.com/y9p 📚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 📚DevOps, DataOps, MLOps: https://insight.paiml.com/ggi 📚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 📚Linux and Bash for Data Engineering: https://insight.paiml.com/d31 📚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 📚Cloud Virtualization, Containers and APIs: https://insight.paiml.com/ce5 O'Reilly Book: Practical MLOps: https://www.amazon.com/Practical-MLOp... O'Reilly Book: Python for DevOps: https://www.amazon.com/gp/product/B08... Pragmatic AI: An Introduction to Cloud-based Machine Learning: https://www.amazon.com/gp/product/B07... Pragmatic AI Labs Book: Python Command-Line Tools: https://www.amazon.com/gp/product/B08... Pragmatic AI Labs Book: Cloud Computing for Data Analysis : https://www.amazon.com/gp/product/B09... Pragmatic AI Book: Minimal Python: https://www.amazon.com/gp/product/B08... Pragmatic AI Book: Testing in Python: https://www.amazon.com/gp/product/B08... Subscribe to Pragmatic AI Labs YouTube Channel: / @pragmaticai View content on noahgift.com: https://noahgift.com/ View content on Pragmatic AI Labs Website: https://paiml.com/