AI Learning Hub · 158 resources

Build production-grade AI, faster.

A focused library for builders — LLM architecture, agents, evaluation, and deployment, sequenced into tracks instead of a firehose of links.

Browse 158 resources
158resources
37courses
11videos
updated weekly
Track · Agentic Workflows live
Foundations Architecture Agents Production
ReAct: Reasoning + ActingPaper
OpenAI Guide: Function CallingTutorial
ToolformerPaper
vLLM DocumentationTutorial
Track progress0%

Built from the resources teams actually use

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Inside a track

Four lanes. Each one a sequence, not a pile.

Every track is an ordered path through the best free resources for one outcome — so you always know what to read next.

1 OpenAI Guide: Function Calling OpenAI Tutorial
2 vLLM Documentation vLLM Tutorial
3 NVIDIA NeMo Documentation NVIDIA Tutorial
4 Gemini API Quickstart Google Tutorial
5 PyTorch Tutorials PyTorch Tutorial
1 Llama 2: Open Foundation and Fine-Tuned Chat Models Touvron et al. Whitepaper
2 PaLM: Scaling Language Modeling with Pathways Chowdhery et al. Whitepaper
3 Language Models are Few-Shot Learners (GPT-3) Brown et al. Whitepaper
4 BERT: Pre-training of Deep Bidirectional Transformers Devlin et al. Whitepaper
5 Training Compute-Optimal Large Language Models Hoffmann et al. Whitepaper
1 Toolformer: Language Models Can Teach Themselves Schick et al. Whitepaper
2 ReAct: Synergizing Reasoning and Acting Yao et al. Whitepaper
3 Function calling and other API updates OpenAI Article
4 CrewAI CrewAI Open Source
5 AutoGen Microsoft Open Source
1 Introducing Amazon Bedrock AWS Article
2 LiteLLM BerriAI Open Source
3 OpenAI Evals OpenAI Open Source
4 Text Generation Inference Hugging Face Open Source
5 vLLM vLLM Open Source

How it works

From “where do I start?” to shipping — in three steps

1

Pick a track

Start from a level or focus area — foundations, architecture, agents, evaluation.

2

Follow curated resources

Hand-picked articles, videos, courses, and tools that builders actually use.

3

Build & ship

Apply what you learn to real projects, then go find the role to match.

Inside the library

Built from the resources teams actually use

Course

CS50's Introduction to AI with Python

Harvard CS50

Course

Kaggle Natural Language Processing

Kaggle

Tutorial

OpenAI Guide: Function Calling

OpenAI

Tutorial

vLLM Documentation

vLLM

Video

Google ML Crash Course Overview

Google Developers

Video

Hugging Face Course Intro

Hugging Face

Article

Machine Learning Interviews

Ali Rezadirad

Article

How to Become a Machine Learning Engineer

IEEE BLP

FAQ

Good to know

Is it free?

Yes. Every resource in the Learn AI hub is free to access.

Who is this for?

Developers, engineers, and builders who want a curated path into modern AI and ML — not a random list.

Do I need an account?

No account is needed to browse. Create a free DevFound account to contribute resources and save your progress.

Start building production-grade AI — free

Create a free account to save resources, track progress, and contribute to the library.

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