Must-Read AI Resources for Engineers (All Free)
Bookmark these to transform from AI user to AI builder:
**1. fast.ai - Practical Deep Learning**
Build state-of-the-art models by lesson 2. Alumni work at Google Brain, OpenAI
course.fast.ai
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**2. Neural Networks: Zero to Hero (Karpathy)**
Build GPT from scratch in pure Python. Understand every single line
github.com/karpathy/nn-…
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**3. LLM Course by mlabonne**
Complete path: Math → LLMs → Production. Includes Colab notebooks
github.com/mlabonne/llm…
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**4. Elements of AI (University of Helsinki)**
1+ million students worldwide. Free certificate included
elementsofai.com
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**5. 500+ AI/ML Projects with Code**
Massive collection of implemented projects across CV, NLP, RL
github.com/ashishpatel2…
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**6. RAG Techniques Repository**
30+ advanced RAG implementations including GraphRAG, HyDE
github.com/NirDiamant/R…
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**7. AI Engineer Roadmap**
Project-based learning: Beginner → RAG → Agents → Production
github.com/dswh/ai-engi…
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**8. Google AI Essentials**
Under 10 hours to practical AI skills. Free Google certificate
coursera.org/google-spe…
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**9. Awesome LLM Apps**
Real-world LLM applications with code. Learn by example
github.com/Shubhamsaboo…
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Start with ONE resource and build something. In AI, builders win over watchers.