AI Engineer Roadmap – How to Learn AI in 2025

This broad AI Engineering roadmap will locomotion you done the basal skills and techniques each aspiring AI Engineer should maestro by 2025. From basal mathematics and cardinal instrumentality learning algorithms to heavy learning, AI Engineering champion practices, and ample connection models—you’ll get hands-on AI Engineering acquisition and invaluable profession insights that will group you connected the accelerated way to occurrence successful this quickly evolving field. Course developed by Tatev Aslanyan from @LunarTech_ai Apply to AI Engineering Bootcamp Here: https://www.lunartech.ai/bootcamp/ai-engineering-bootcamp ❤️ Support for this transmission comes from our friends astatine Scrimba – the coding level that's reinvented interactive learning: https://scrimba.com/freecodecamp ⭐️ Contents ⭐️ (0:00:00) AI Engineering Roadmap Introduction (0:03:59) What is AI Engineering (0:05:47) AI Engineering Applications (0:08:31) Must-Have Skills for an AI Engineer (0:09:05) Mathematical Foundations (0:17:38) Statistics Essentials (0:23:37) Data Science Skills (0:28:05) Traditional Machine Learning (0:32:36) Deep Learning Foundations (0:38:36) Practical Implementation successful Python (0:40:54) Generative AI Fundamentals (0:46:39) Large Language Models (LLMs) (0:51:07) Fine-tuning Large Language Models (0:52:05) Reinforcement Learning pinch Human Feedback (RLHF) (0:53:05) Retrieval-Augmented Generation (RAG) (0:53:28) Evaluating & Optimizing LLMs (0:54:14) AI Engineering Ethics & Safety (0:56:44) Additional Resources & Career Paths (0:57:34) Outro & Final Remarks 🎉 Thanks to our Champion and Sponsor supporters: 👾 Drake Milly 👾 Ulises Moralez 👾 Goddard Tan 👾 David MG 👾 Matthew Springman 👾 Claudio 👾 Oscar R. 👾 jedi-or-sith 👾 Nattira Maneerat 👾 Justin Hual -- Learn to codification for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles connected programming: https://freecodecamp.org/news