Roadmap to becoming an Artificial Intelligence Expert in 2022

A complete, structured hub for learning Artificial Intelligence — covering AI, Machine Learning, Deep Learning, and Data Science with books, roadmaps, and curated resources from beginner to advanced.

Your no-nonsense guide to the Math used in Artificial Intelligence

A comprehensive AI learning roadmap covering Python fundamentals, mathematics, machine learning, deep learning, LLMs, and agentic systems — focused on hands-on projects, practical tools, and real-world deployment.

everything-ai is your essential resource for delving into AI and Generative AI. This curated collection includes courses 🎓, certifications 📜, books 📚, libraries 🛠, and research papers 🔬, along with tools 🔧, datasets 📊, and networking 🤝 opportunities.

Beginner → Intermediate (Student & Self-Learner Friendly)

AI concepts, papers, algorithms, tutorials, AI roadmap

Become skilled in Artificial Intelligence, Machine Learning, Generative AI, Deep Learning, Data Science, Natural Language Processing, Reinforcement Learning, and more with this complete 0 to 100 roadmap repository. Designed for beginners and experts alike, this project offers a comprehensive learning path, curated resources, hands-on tutorials, and

Building artificial intelligence mastery one brick at a time, constructing my path through the world of AI

Become an AI Engineer in 24 weeks - hands-on, project-based roadmap for software professionals. No theory hell. Build real AI apps from week 1.

⭐ If this roadmap helped you, consider starring the repo.

🧠 Master AI and Machine Learning from scratch with this comprehensive roadmap featuring curated free resources for all skill levels.

The comprehensive Agentic AI Developer Roadmap

A unified roadmap(2025-203) to achieve functionally equivalent AgI by bridging natural cognition with artificial systems, integrating functional equivalence, consciousness and subjective experience

🎓 A PhD-level guided journey into Artificial Intelligence. From Prompt Engineering to RAG & Autonomous Agents. from basics to advance step by step guid for begginers

Workflow-first campus carpool miniapp MVP for Fort Lee ↔ Columbia commuting, with a roadmap toward AI-native features

Practical AI application engineering roadmap: LLM basics, Prompt Engineering, RAG, Agents, MCP, evaluation, production, tutorials, checklists, and templates.

An interactive AI learning platform featuring structured roadmaps, progress tracking, gamification, analytics, and curated resources to help learners master Artificial Intelligence from beginner to advanced.

AI Integration Hub - Curated collection of AI APIs, code templates, model comparisons and engineering roadmaps for developers.

An interactive, dynamic, and privacy-first AI developer roadmap for 2026. From zero to building autonomous agents, MCP servers, and micro-SaaS. Built with Next.js, Tailwind v4, PydanticAI, and Vercel AI SDK.