dipakkr/awesome-ai-engineering

🚀 A curated collection of AI engineering resources, roadmaps, tools, and projects covering LLMs, RAG, AI Agents, MCP, fine-tuning, evaluations, and production AI systems.

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A to Z Resources for Students If you found this repository helpful in discovering new opportunities, don’t keep it to yourself — share it with your friends or batchmates so they can benefit too! You can also connect with me on LinkedIn — always happy to network and exchange ideas. 🚀 Are you a college student or a working professional looking for resources to learn a new coding language? Are you looking to meet new people in your community or searching for global conferences, hackathons and competitions to attend? If so, you should definitely check this out. When I was in college, I missed a lot of opportunities like hackathons, conferences, internships, workshops and many global events due to lack of awareness. I don't want the emerging developers to suffer the same as me. Hence, I and a bunch of other developers around have collected a list of resources for…

dipakkr/awesome-ai-engineering on GitHub A short preview, not the full document.

Read the full README ↗ · Preview checked 2026-10-28T11:19:57.670Z

Inside the original README — Document outline
  1. 🚀 Quick Start Guide
  2. 📋 Table of Contents
  3. 🎯 I Want To...
  4. 📚 Main Categories
  5. 🔥 Trending Technologies (2025)
  6. 🔍 Quick Access
  7. - Conferences & Events
  8. FYI
  9. AI Tools and Resources
  10. Programming Languages & Frameworks
  11. Beginner-Friendly Resources :baby:
  12. Python

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What this repository does

🚀 A curated collection of AI engineering resources, roadmaps, tools, and projects covering LLMs, RAG, AI Agents, MCP, fine-tuning, evaluations, and production AI systems.

Repository facts

Owner
dipakkr
Primary language
Not reported
Stars
22,506
Forks
4,848
Open issues + pull requests
77
License
MIT
Archived
No
Default branch
master
Created
2018-09-17T11:15:29.000Z
Last push
2026-10-21T16:19:25.000Z

Topics and intended use

Owner-supplied topics: agentic-ai, ai-agents, ai-engineering, ai-projects, ai-resources, ai-tools, artificial-intelligence, awesome-lists, deep-learning, fine-tuning, generative-ai, large-language-models, learning-resources, llm, llmops, machine-learning, mcp, prompt-engineering, rag

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Source: GitHub. Metadata observed 2026-11-01T13:20:54.848Z. Daily imports are snapshots, not real-time monitoring.

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