The app for independent voices

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

-----

**2. Neural Networks: Zero to Hero (Karpathy)**

Build GPT from scratch in pure Python. Understand every single line

github.com/karpathy/nn-…

-----

**3. LLM Course by mlabonne**

Complete path: Math → LLMs → Production. Includes Colab notebooks

github.com/mlabonne/llm…

-----

**4. Elements of AI (University of Helsinki)**

1+ million students worldwide. Free certificate included

elementsofai.com

-----

**5. 500+ AI/ML Projects with Code**

Massive collection of implemented projects across CV, NLP, RL

github.com/ashishpatel2…

-----

**6. RAG Techniques Repository**

30+ advanced RAG implementations including GraphRAG, HyDE

github.com/NirDiamant/R…

-----

**7. AI Engineer Roadmap**

Project-based learning: Beginner → RAG → Agents → Production

github.com/dswh/ai-engi…

-----

**8. Google AI Essentials**

Under 10 hours to practical AI skills. Free Google certificate

coursera.org/google-spe…

-----

**9. Awesome LLM Apps**

Real-world LLM applications with code. Learn by example

github.com/Shubhamsaboo…

-----

Start with ONE resource and build something. In AI, builders win over watchers.​​​​​​​​​​​​​​​​

Jul 18
at
12:36 PM

Log in or sign up

Join the most interesting and insightful discussions.