Agentic AI Explained: The Complete 2026 Guide

Most people think they understand AI, but they only understand the part where you type something into ChatGPT and it types something back. The gap between that and building an actual agent that can go do work for you is enormous. In this video, I break down the entire AI stack in 30 minutes. We start with how large language models actually work, then climb through transformers, context engineering, RAG, reasoning models, and finally the most important distinction in AI right now: the difference between a model and an agent. A model thinks. An agent thinks and acts. By the end, you'll understand how these systems work better than 95% of people posting about AI on the internet. Chapters: 00:00 – The Gap Nobody Tells You About 01:51 – How LLMs Actually Work 05:04 – The Transformer Architecture 08:42 – BERT vs GPT History 09:41 – Modalities and Multimodal Models 12:03 – Prompt to Context Engineering 16:45 – RAG Explained 20:21 – Reasoning Models 21:22 – Model vs Agent 22:27 – The ReAct Pattern 23:10 – Agentic Design Patterns 24:13 – AI Evaluations 26:43 – The Gen Academy 29:43 – Closing You’re right—that last version had titles only. Here’s a fully linkified, copy‑paste‑ready description block. Resources mentioned in the video (and more to explore): 👉 Join Mastering Agentic AI Certification by The Gen Academy (Aug & Oct Cohort) https://maven.com/aishwarya-srinivasan/mastering-ai-agents?promoCode=SAVE20 Use code: SAVE20 for 20% discount 👉 My videos to watch next → Vector Databases Explained – deep dive on embeddings & storage https://youtu.be/4pUYfY-b5CQ?si=Y3VdR5CmKTBlQwew → RAG Explained https://youtu.be/v0ynfDPpe4E?si=qxCk6LHLHEcW0cCH 👉 Mastering Claude Cowork (~2 hour lightning lesson - 12,000+ people have attended) https://maven.com/p/6f5db3/mastering-claude-cowork-become-an-ai-native-professional 👉 Agentic AI Foundations → Anthropic: Building Effective Agents https://www.anthropic.com/research/building-effective-agents → OpenAI: A Practical Gui