BearCat 🇺🇦 Earth 🌎

STOP WASTING HOURS TRYING TO FIGURE OUT WHAT TO LEARN IN AI. I put together one practical roadmap with videos, GitHub repos, guides, books, research papers, and courses. VIDEOS: 1. LLM Introduction — youtube.com/watch?v=zjkBMFhN… 2. LLMs from Scratch — youtube.com/watch?v=9vM4p9NN… 3. Agentic AI Overview (Stanford) — youtube.com/watch?v=kJLiOGle… 4. Building & Evaluating Agents — youtube.com/watch?v=d5EltXhb… 5. Building Effective Agents — youtube.com/watch?v=D7_ipDqh… 6. Building Agents with MCP — youtube.com/watch?v=kQmXtrmQ… 7. Building an Agent from Scratch — youtube.com/watch?v=xzXdLRUy… 8. Philo Agents — youtube.com/playlist?list=PL… GITHUB REPOS: 1. GenAI Agents — github.com/nirdiamant/GenAI_… 2. Microsoft AI Agents for Beginners — github.com/microsoft/ai-agen… 3. Prompt Engineering Guide — github.com/dair-ai/Prompt-En… 4. Hands-On Large Language Models — github.com/HandsOnLLM/Hands-… 5. GenAI Agents — github.com/NirDiamant/GenAI_… 6. Made with ML — github.com/GokuMohandas/Made… 7. Hands-On AI Engineering — github.com/Sumanth077/Hands-… 8. Awesome Generative AI Guide — github.com/aishwaryanr/aweso… 9. Designing Machine Learning Systems — github.com/chiphuyen/dmls-bo… 10. Machine Learning for Beginners — github.com/microsoft/ML-For-… 11. LLM Course — github.com/mlabonne/llm-cour… GUIDES: 1. Google's Agent Whitepaper — kaggle.com/whitepaper-agents 2. Google's Agent Companion — kaggle.com/whitepaper-agent-… 3. Building Effective Agents by Anthropic — anthropic.com/engineering/bu… 4. Claude Code Agentic Coding Practices — code.claude.com/docs/en/best… 5. OpenAI's Practical Guide to Building Agents — cdn.openai.com/business-guid… BOOKS: 1. Understanding Deep Learning — udlbook.github.io/udlbook/ 2. Building an LLM from Scratch — manning.com/books/build-a-la… 3. The LLM Engineering Handbook — oreilly.com/library/view/llm… 4. AI Agents: The Definitive Guide — oreilly.com/library/view/ai-… 5. Building Applications with AI Agents — oreilly.com/library/view/bui… 6. AI Agents with MCP — oreilly.com/library/view/ai-… 7. AI Engineering — oreilly.com/library/view/ai-… RESEARCH PAPERS: 1. ReAct — arxiv.org/abs/2210.03629 2. Generative Agents — arxiv.org/abs/2304.03442 3. Toolformer — proceedings.neurips.cc/paper… 4. Chain-of-Thought Prompting — arxiv.org/pdf/2201.11903 COURSES: 1. Meta Data Analyst Professional Certificate: imp.i384100.net/rENKMG 2. Google Advanced Data Analytics Professional Certificate: imp.i384100.net/jR67bn 3. Microsoft Power BI Data Analyst Professional Certificate: imp.i384100.net/PzdQx6 4. Google Data Analytics Professional Certificate: imp.i384100.net/xJ6DQx 5. Introduction to Data Analytics: imp.i384100.net/5k0drn 6. Machine Learning Specialization: imp.i384100.net/k42K6M 7. IBM Deep Learning with PyTorch, Keras and Tensorflow Professional Certificate: imp.i384100.net/enZ0zg 8. Deep Learning Specialization: imp.i384100.net/qW6KMO 9. Crash Course on Python: imp.i384100.net/QYd9Dz 10. Python for Data Science, AI & Development: imp.i384100.net/9Vd6kQ 11. ChatGPT + Excel: AI-Enhanced Data Analysis & Insight Specialization: imp.i384100.net/rENKMB 12. Work Smarter with Microsoft Excel: imp.i384100.net/jR67ba 13. Microsoft Excel Professional Certificate: imp.i384100.net/PzdQxq 14. Excel Basics for Data Analysis: imp.i384100.net/5k0drD 15. SQL Foundations: imp.i384100.net/k42K6v Repost so someone else can find this roadmap, and pls consider following @triptitips for more content around AI, Beauty, and businesses.