21 Lessons, Get Started Building with Generative AI
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12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
- ml
- data-science
- machine-learning
- machine-learning-algorithms
18 Lessons to Get Started Building AI Agents
- agentic-ai
- agentic-framework
- agentic-rag
- ai-agents
12 Weeks, 24 Lessons, AI for All!
Learn how to develop, deploy and iterate on production-grade ML applications.
Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. Join the course here 👇🏼
Anthropic's Interactive Prompt Engineering Tutorial
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.
- csharp
- java
- javascript
- mcp
Free MLOps course from DataTalks.Club. Register here 👇🏼 to get notified about the next cohort
- machine-learning
- mlops
- model-deployment
- model-monitoring
Learn ML engineering for free in 4 months! Register here 👇🏼
Python training for business analysts and traders
- python
- jupyter
- jupyterlab
- binder
TranslatedThis project is a tutorial on developing large model applications, aimed at beginner developers. Read it online at: https://datawhalechina.github.io/llm-universe/
Public facing notes page
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
- numpy
- python
- linear-algebra
- data-science
YSDA course in Natural Language Processing
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
- deep-learning
- mit
- self-driving-cars
- deep-reinforcement-learning
TranslatedMy continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides), with video links
The repository host gives no description.
Lab Materials for MIT 6.S191: Introduction to Deep Learning
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
Sample code for Channel 9 Python for Beginners course
Repo to accompany my mastering LLM engineering course
All course materials for the Zero to Mastery Machine Learning and Data Science course.