Welcome to Ghunchas Library
LEARN HERE 👇
- Intro to Deep Learning
- University of Michigan — Deep Learning for Computer Vision
- Andrej Karpathy — Zero to Hero
- Berkeley — LLM Agents
- Stanford — Language Modeling
- Stanford — Generative Models
- DeepMind × UCL — Reinforcement Learning
- Stanford — ML Systems Design
- Persuasive Writing and Public Speaking
- Leadership: Creating Public Value
- Negotiating Salary
- The Science of Well-Being
1. AI 101: Perfect starting point. Core AI concepts explained clearly.
2. Introduction to Deep Learning: MIT’s legendary deep learning bootcamp.
3. Artificial Intelligence, Classic AI: problem solving, knowledge, learning.
4. Introduction to Machine Learning: Beginner-friendly ML foundations and algorithms.
5. How to AI (Almost) Anything: Apply AI to music, art, sensors, and the real world.
6. Understanding the World Through Data: Use data + ML to decode real-world systems.
7. Artificial Intelligence in K-12 Education: Foundations of AI and how it actually works.
8. Introduction to Algorithms: The hidden superpower behind efficient AI systems.
9. Foundation Models & Generative AI: Modern AI, LLMs, and how systems like ChatGPT work.
