Jan 16
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Agentic AI is the future — and 2026 belongs to those who prepare now. In this video, I share a complete Agentic AI roadmap for 2026, explaining exactly what you should learn, which skills matter, and which tools and frameworks companies actually use. We’ll go step by step — from fundamentals to real-world agent systems. 🔹 What you’ll learn in this video: ✅ Python fundamentals for Agentic AI ✅ Core Machine Learning concepts (no heavy math) ✅ How LLMs work (context windows, tokens & hallucinations) ✅ The 4 pillars of Agentic AI: Planning Memory Tool Usage Feedback & Self-Correction ✅ RAG (Retrieval-Augmented Generation) for real & private data ✅ Multi-agent systems used in enterprise applications ✅ Best Agentic AI frameworks to learn in 2026 (LangGraph & Agno) ✅ How companies evaluate agents, reduce hallucinations & control costs If you want to future-proof your AI career, this roadmap will give you absolute clarity. 🎓 Learn Agentic AI with Hands-On Projects I have a full playlist on this channel: 👉 Agentic AI - https://www.youtube.com/playlist?list=PLv8Cp2NvcY8DeLpPBREcC9aU8ESfYeSeX 👉 LLMs and Transformers Playlist- https://www.youtube.com/playlist?list=PLv8Cp2NvcY8BQtdyf29kkoAXpcjaGXHHn 📸 Follow me on Instagram: @codewithaarohi 🔗 https://www.instagram.com/codewithaarohi/ 📧 You can also reach me at: aarohisingla1987@gmail.com 🔔 Subscribe to Code with Aarohi to stay updated with the latest in Agentic AI, LLMs, and AI engineering.