In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
37,474
stars
535
commits
Jupyter Notebook
primary language
Sep 10, 2026
updated
Welcome to the AI Engineering Hub - your comprehensive resource for learning and building with AI!
AI Engineering is advancing rapidly, and staying at the forefront requires both deep understanding and hands-on experience. Here, you will find:
Whether you're a beginner, practitioner, or researcher, this repo provides resources for all skill levels to experiment and succeed in AI engineering.
New to AI Engineering? Start here:
Get a FREE Data Science eBook π with 150+ essential lessons in Data Science when you subscribe to our newsletter! Stay in the loop with the latest tutorials, insights, and exclusive resources. Subscribe now!
Perfect for getting started with AI engineering. These projects focus on single components and straightforward implementations.
Multi-component systems, agentic workflows, and advanced features for experienced practitioners.
Complex systems, fine-tuning, production deployments, and cutting-edge implementations.
We welcome contributors! Whether you want to add new tutorials, improve existing code, or report issues, your contributions make this community thrive. Here's how to get involved:
Check out our contributing guidelines for more details.
This repository is licensed under the MIT License - see the LICENSE file for details.
For discussions, suggestions, and more, feel free to create an issue or reach out directly!
Happy Coding! π
Jupyter Notebook
88.5%
Python
5.9%
TypeScript
5.3%
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
37,474
stars
535
commits
Jupyter Notebook
primary language
Sep 10, 2026
updated
Welcome to the AI Engineering Hub - your comprehensive resource for learning and building with AI!
AI Engineering is advancing rapidly, and staying at the forefront requires both deep understanding and hands-on experience. Here, you will find:
Whether you're a beginner, practitioner, or researcher, this repo provides resources for all skill levels to experiment and succeed in AI engineering.
New to AI Engineering? Start here:
Get a FREE Data Science eBook π with 150+ essential lessons in Data Science when you subscribe to our newsletter! Stay in the loop with the latest tutorials, insights, and exclusive resources. Subscribe now!
Perfect for getting started with AI engineering. These projects focus on single components and straightforward implementations.
Multi-component systems, agentic workflows, and advanced features for experienced practitioners.
Complex systems, fine-tuning, production deployments, and cutting-edge implementations.
We welcome contributors! Whether you want to add new tutorials, improve existing code, or report issues, your contributions make this community thrive. Here's how to get involved:
Check out our contributing guidelines for more details.
This repository is licensed under the MIT License - see the LICENSE file for details.
For discussions, suggestions, and more, feel free to create an issue or reach out directly!
Happy Coding! π
Jupyter Notebook
88.5%
Python
5.9%
TypeScript
5.3%