ai-engineering-hub
Tutorials on LLMs, RAGs, and real-world AI agent applications
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Decision brief
A collection of in-depth tutorials aiming to cover a wide range from beginner to advanced concepts in AI, including large language models (LLMs), Retrieval-Augmented Generation (RAG) systems and practical applications of
Good fit when
- When you are looking for comprehensive learning paths ranging from complete beginners to advanced experts.
- If you aim to understand real-world applications and practical implementations of AI agents, along with large language models and RAGs through hands-on projects.
Avoid when
- If your team already has significant proficiency in AI engineering and advanced LLM frameworks, as the content starts from zero knowledge up.
- When you specifically need industry-standard proprietary tools or heavily specialized niche applications that go beyond foundational learning covered by this hub.
- Requirements:
- The tutorials and projects use Jupyter Notebooks which require Python and a compatible local environment or cloud-based Jupyter services.
Observed Jul 11, 2026 · Source: enrich:decision_facts
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Full trust report- Maintenance
- Active (21d since push)
- As of 2d
- Provenance
- Not a fork · Personal account
- As of 2d
- Security (OSV)
- No MCP manifest
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git clone https://github.com/patchy631/ai-engineering-hubHow it fits your stack(31)
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Overview
A collection of in-depth tutorials that cover a wide range from beginner to advanced concepts in artificial intelligence, including large language models (LLMs), Retrieval-Augmented Generation (RAG) systems, and practical applications of AI agents.
Capability facts
- Languages
- jupyter notebook
Source: github.language · Aug 18, 2026
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README
🎯 Getting Started
New to AI Engineering? Start here:
- Complete Beginners: Check out the AI Engineering Roadmap for a comprehensive learning path
- Learn the Basics: Start with Beginner Projects like OCR apps and simple RAG implementations
- Build Your Skills: Move to Intermediate Projects with agents and complex workflows
- Master Advanced Concepts: Tackle Advanced Projects including fine-tuning and production systems
📜 License
This repository is licensed under the MIT License - see the LICENSE file for details.
For agents
This page has a .md twin and JSON over the API.