About Learn AI Engineering
Learn AI Engineering is an MCP server published by ashishps1 in the AI category: learn AI and LLMs from scratch using free resources. It has been installed 0 times through Conduid.
The repository has 4.1K stars and 1.0K forks, with the last commit 7 months ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues (0) before depending on it in production.
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README
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
- Building GPT from scratch - Andrej Karpathy
- LLM Course - GitHub
- LLM Course - Hugging Face
- Awesome LLM Apps - GitHub
LLM Chatbots
Open Source LLMs
LLM APIs
LLM Tools & Frameworks
LLM Based IDEs
Agentic Coding Tools
Prompt Engineering
- Google Prompting Essentials
- ChatGPT Prompt Engineering for Developers - Deeplearning.ai
- Advanced Prompting Techniques - Instructor
- Prompt Engineering Techniques - Github
- Getting Structured LLM Output - Deeplearning.ai
- God Tier Prompts
Retrieval-Augmented Generation (RAG)
AI Agents
- A Visual Guide to LLM Agents
- Agents - Chip Huyen
- AI Agents Course - Hugging Face
- Building AI Browser Agents - Deeplearning.ai
- GenAI Agents - Github
- AI Agents in Action, Second Edition - Book
Model Context Protocol (MCP)
- MCP - Anthropic Guide
- Building AI Apps using MCP
- MCP Course - Hugging Face
- Awesome MCP Servers - Github
MLOps & Deployment
Tools
Guides
Books
- Hands-On Machine Learning
- Deep Learning - Ian Goodfellow
- Deep Learning with Python
- Why Machines Learn
- Designing Machine Learning Systems
- AI Engineering
- Build a LLM from Scratch
- Prompt Engineering for LLMs
- Natural Language Processing with Transformers
- Build a Multi-Agent System (from Scratch)
- Build a Reasoning Model (From Scratch)
- Build an AI Agent (From Scratch)
- Build an LLM Application (from Scratch)
- AI Agents in Action
- AI Agents in Action, Second Edition
- LLMs in Production
YouTube Channels
Other Resources
Must-Read AI Papers
- Attention Is All You Need
- Generative Adversarial Networks (GANs)
- GPT: Improving Language Understanding by Generative Pre-Training
- GPT-3: Language Models are Few-Shot Learners
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
- Chain-of-Thought Prompting Elicits Reasoning in LLMs
README mirrored from the source repository 4 months ago. The original is authoritative.