// Automation & Workflows
learn-ai-engineering
Learn AI and LLMs from scratch using free resources
// Automation & Workflows[ api ][ web ][ claude ]#claude#agentic-ai#agents#ai#deep-learning#generative-ai#large-language-models#llm#automation◷ GPL-3.0$open-source⚠ not recently updated
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last commit 8 months ago
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// star history
Install with your AI
Paste into Claude Code, Cursor, or any agent — it reads the repo and wires the tool into your project.
⚠ Unverified source (community-unclaimed, low activity) — reveal the prompt
⚠ Unverified source (community-unclaimed, low activity). Inspect the repo before letting your agent install it. Install and set up learn-ai-engineering (git-clone project) into my current project. Found on https://claudeers.com/learn-ai-engineering Repo: https://github.com/ashishps1/learn-ai-engineering Homepage/docs: — Detected install method: git-clone → git clone https://github.com/ashishps1/learn-ai-engineering Category: automation. Platforms: api, web. Read the repo's README for exact setup and env vars, then install it and wire it into my project. Claudeers Health Verdict: dormant; community-verified: false. Confirm the source before running anything.
// or clone · unverified · not recently updated
git clone https://github.com/ashishps1/learn-ai-engineering
// compatibility
| Platforms | api, web |
|---|---|
| Operating systems | — |
| AI compatibility | claude |
| License | GPL-3.0 |
| Pricing | open-source |
| Language | — |
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
// faq
What is learn-ai-engineering?
Learn AI and LLMs from scratch using free resources. It is open-source on GitHub.
Is learn-ai-engineering free to use?
learn-ai-engineering is open-source under the GPL-3.0 license, so it is free to use.
What category does learn-ai-engineering belong to?
learn-ai-engineering is listed under mcp-servers in the Claudeers registry of Claude-compatible tools.
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