Agentic AI Roadmap 2026 | Complete Learning Path for AI Engineers
Автор: Code With Aarohi
Загружено: 2026-01-01
Просмотров: 8654
Описание:
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 - • Learn Agentic AI: From Basics to Advanced ...
👉 LLMs and Transformers Playlist- • LLMs From Scratch: Theory, Math, Code & Tr...
📸 Follow me on Instagram: @codewithaarohi
🔗 / codewithaarohi
📧 You can also reach me at: [email protected]
🔔 Subscribe to Code with Aarohi to stay updated with the latest in Agentic AI, LLMs, and AI engineering.
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