GenAI Roadmap [Ultimate AI Roadmap] 2025 | From GenAI → LLMs → RAG → Agentic AI | FAANG Ready Guide

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AI roadmap 2025, Generative AI roadmap, LLM roadmap, Agentic AI roadmap, RAG roadmap, FAANG ML preparation, Google ML Engineer, Meta AI Engineer, OpenAI Engineer, Machine Learning roadmap, GenAI full course, AI system design, ML interview prep, large language models, Retrieval Augmented Generation tutorial, build AI agents, learn LLM from scratch, Python for ML, Deep Learning roadmap, AI projects, freebirds crew, data science roadmap, agentic AI tutorial, AI research papers, ml engineer roadmap, GenAI Roadmap Resources: https://github.com/simranjeet97/GenAI_Ultimate_Roadmap/tree/master Get your LLM+RAG [18+ Projects] E-Book Now: https://topmate.io/simranjeet97/1756027 Get your Python from Scratch for AI/ML: FAANG Best Practice E-Book Now: https://topmate.io/simranjeet97/1767773 AI Roadmap 2025 | GenAI, LLMs, RAG, Agentic AI, System Design | Crack Google, Meta, OpenAI If you want to work on next-gen AI systems at Google, Meta, OpenAI, or Anthropic, this video is your master roadmap for 2025 — it will take you from beginner to FAANG-ready expert in Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI. In this detailed roadmap, I’ve broken down exactly: What to learn: 1. In what order to learn 2. How to stay updated with the latest AI research & tools Topics Covered 1. Prerequisites for GenAI – Maths, Python, ML & DL fundamentals 2. Generative AI & LLMs – Architecture, Tokenization, Transformer Models 3. Retrieval-Augmented Generation (RAG) – Vector DBs, Retrieval, Evaluation 4. Agentic AI – Multi-Agent Systems, Memory, Reasoning, Tool Use 5. System Design & FAANG-Level Preparation – MLOps, Deployment, Scalability 6. Staying Updated with AI Research – arXiv, GitHub, AI newsletters I’ve also added a GitHub doc (link in description) with research papers, projects, and resources from my own learning path as a Machine Learning Engineer at Google. This roadmap will prepare you for ML interviews, FAANG-level projects, and AI research workflows faster than any online course. 📍 Watch till the end — you’ll also learn how to stay ahead in the rapidly evolving AI industry. Let’s make you FAANG-Ready before 2025 ends. 📌 If you missed my ML System Design Framework video, check it out here first: [https://www.youtube.com/playlist?list=PLYIE4hvbWhsCG7UvRuj67tUQ1q4ugatvq] Target Companies: Google (L4+), Meta (E4+), Microsoft (61+), Amazon (L5+), Apple (ICT3+) 💬 Comment below if you have questions! Don't forget to LIKE 👍, SHARE 🔄, and SUBSCRIBE 🔔 for more AI projects! To get the Source Code, Follow me on GitHub: https://github.com/simranjeet97 Book your call with me at topmate.io and learn how to harness the latest technology's power and speed up your learning process. Book your call at https://bit.ly/43TLDCD Follow me on Medium for the latest blogs and projects: https://bit.ly/3JGXqwc Playlists that make you skilled up 1. GenAI Agentic AI Course [14+ Agents]: https://www.youtube.com/playlist?list=PLYIE4hvbWhsAkn8VzMWbMOxetpaGp-p4k 2. GenAI Full Course with LLM Fine Tuning and Evaluation: https://bit.ly/4bJwZla 3. Learn RAG from scratch with GenAI projects: https://bit.ly/3Zl47KD 4. Latest AI/GenAI Research Papers Explained: https://bit.ly/4huqEMT 5. RAG and LLM Use Cases in Finance Domain Projects: https://bit.ly/3AGSRQm 6. Prompt Engineering: https://bit.ly/42v376M 7. Financial Data Analysis and Financial Modelling: https://bit.ly/3OCWI5O 8. Artificial Intelligence Projects: https://bit.ly/3L8lhEi 9. Predict IPL 2023 Winner (End-to-End Data Science Project): https://bit.ly/3BfC3N9 10. Explainable AI (XAI) Machine Learning: https://bit.ly/3gsuIxb 11. Face Recognition: https://bit.ly/2YphpHm Let’s upskill toward your dream job — one step at a time. #MLSystemDesign #SpotifyRecommendationEngine #MachineLearningInterview #DataScience #AIProjects #FAANGInterview #RecommenderSystems #DeepLearning #MLOps #AIEngineering