⚡ Productivity level unlocked.

🧵 Stanford's Free AI Degree Roadmap (6 Courses, $0 Cost) 1/ Want to move beyond prompt engineering and actually understand how AI works? This roadmap combines 6 free Stanford-level AI courses covering everything from machine learning to NLP and reinforcement learning. 👇 2/ Stage 1: Foundation 📘 CS221 – Artificial Intelligence Search algorithms Reasoning Planning Decision-making This course teaches the core principles behind intelligent systems. 3/ 📘 CS229 – Machine Learning (Andrew Ng) Learn: Supervised learning Unsupervised learning Core ML algorithms Model evaluation This is one of the most influential ML courses ever created. 4/ 📘 CS230 – Deep Learning (Andrew Ng) Topics include: Neural networks CNNs RNNs Deep learning best practices You'll understand how modern AI models are built and trained. 5/ Stage 2: Go Deeper 📘 CS231n – Deep Learning for Computer Vision Learn how machines understand images through: CNNs Object detection Image classification Generative vision models 6/ 📘 CS234 – Reinforcement Learning Study: Agents & environments Q-learning Policy gradients Sequential decision making The technology behind game-playing and autonomous systems. 7/ 📘 CS224U – Natural Language Understanding Explore: Semantics Dialogue systems Language meaning NLP foundations Critical for understanding ChatGPT-like systems. 8/ What you'll gain ✅ Understand AI models instead of just using them ✅ Evaluate AI tools intelligently ✅ Communicate effectively with technical teams ✅ Lead AI initiatives with confidence 9/ Suggested learning order CS221 → CS229 → CS230 → CS231n → CS234 → CS224U Spend 4–8 weeks on each course depending on your schedule. 10/ AI literacy is becoming as important as digital literacy. You don't need a computer science degree to start. You need curiosity, consistency, and a structured roadmap. 🚀 Start with the foundations and build upward. #AI #MachineLearning #DeepLearning #Stanford #ArtificialIntelligence #DataScience #GenerativeAI #LearningInPublic