learn-ai-engineering
ashishps1/learn-ai-engineering
Learn AI and LLMs from scratch using free resources
Overview
A collection of free educational materials to learn about AI, machine learning, large language models, and agents. It includes foundational mathematics, Python programming, ML frameworks like Scikit-learn and XGBoost, DL frameworks such as TensorFlow and PyTorch, and specializations in deep learning from top universities.
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Install
git clone https://github.com/ashishps1/learn-ai-engineeringREADME
Learn AI Engineering
A comprehensive collection of free resources to learn everything about AI/ML, LLMs and Agents.
Mathematical Foundations
- Mathematics Roadmap for Machine Learning
- Essence of Linear Algebra - 3Blue1Brown
- Probability & Statistics - Khan Academy
- Statistics Fundamentals - Josh Strarmer
- Mathematics for Machine Learning Specialization - Coursera (Andrew Ng)
Python
AI & ML Fundamentals
- Machine Learning Crash Course - Google
- AI for Beginners – Microsoft
- Elements of AI – University of Helsinki
- Machine Learning Playlist - Josh Strarmer
- Machine Learning Specialization - Coursera
Machine Learning Frameworks
Deep Learning
- Deep Learning Specialization - Coursera (Andrew Ng)
- Practical Deep Learning for Coders - Fast.ai
- Mathematics for Deep Learning
- Deep Learning Playlist - Josh Starmer
Deep Learning Frameworks
Deep Learning Specializations
Computer Vision
Natural Language Processing (NLP)
Reinforcement Learning
Generative AI
- The Building Blocks of Generative AI
- Generative AI for Beginners - Microsoft
- Generative AI for Everyone - Coursera
Large Language Models (LLMs)
- The Illustrated Transformer
- Large Language Models explained briefly
- Intro to LLMs
- Understanding Large Language Models
- A Visual Guide to Reasoning LLMs
- Understanding Reasoning LLMs
- Understanding Multimodal LLMs
- A Visual Guide to Mixture of Experts (MoE)
- Finetuning Large Language Models
- [How Transformer LLMs Work](https://www.deep