Free MLOps course from DataTalks.Club

Learn how to design, develop, deploy and iterate on production-grade ML applications.

Notes for my MLOps Zero to Hero Udemy course.

Learn how to create, develop, and maintain a state-of-the-art MLOps code base

Programming assignments and quizzes from all courses within the Machine Learning Engineering for Production (MLOps) specialization offered by deeplearning.ai

Notes for Machine Learning Engineering for Production (MLOps) Specialization course by DeepLearning.AI & Andrew Ng

A comprehensive resource hub for mastering web development, covering everything from fundamental concepts to advanced topics and project-based learning. This also includes my notes on various other bonus sections offered alongside the course such as the MLops section, native android development section and DSA classes all in one. Follow for more😁✨

Repo centralising material for the ULiege course INFO9023 "Machine Learning Systems Design (MLOps)".

mlops-projects-course

[Course-2020-2023] taught at Duke MIDS. This is also a Coursera Course that covers MLOps, ML Engineering and the foundations of Cloud Computing for Data Science.

Course on MLOps by girafe.ai team

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Sample Project for an MLOps 101 course I taught

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MLOps Platform for MLOps Crash Course

Awesome MLOps Course Outline

Coursera Machine Learning Engineering for Production Specialization Course

Labs for Duke Coursera Course on MLOps Foundations

This is a repository for the LinkedIn Learning course MLOps with Databricks.

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Poker Simulator

Exploring the world of Generative AI through Google’s 5-Day Intensive Course. Covering foundational LLMs, prompt engineering, embeddings, AI agents, domain-specific models, and MLOps. Sharing insights, code labs, and resources to unlock the potential of AI.

Greedy optimizations for Coursera MLOps course

Coursera Lab for MLOps course covers Hugging Face

MLOps course at AGH University of Krakow

The Zoomcamp MLOps Course covers tools like MLflow, Mage, Flask, Prometheus, Evidently, Grafana, Prefect, Terraform, and GitHub Actions. It emphasizes experiment tracking, model deployment, monitoring, CI/CD, and orchestration, culminating in an end-to-end project integrating best practices in MLOps.

Probability Simulations

Hotel Reservation Package for the MLOps with Databricks course

Agent skills based on the MLOps Coding Course

DevOps to MLOps 강의 정보 및 자료