Agentic AI Explained: The Complete 2026 Guide

Описание: 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-srinivasa...
Use code: SAVE20 for 20% discount

👉 My videos to watch next

→ Vector Databases Explained – deep dive on embeddings & storage
   • Vector Databases Explained: The Complete G...  

→ RAG Explained
   • RAG Explained in 12 Minutes  

👉 Mastering Claude Cowork (~2 hour lightning lesson - 12,000+ people have attended)
https://maven.com/p/6f5db3/mastering-...

👉 Agentic AI Foundations

→ Anthropic: Building Effective Agents
https://www.anthropic.com/research/bu...

→ OpenAI: A Practical Guide to Building Agents
https://openai.com/business/guides-an...

→ OpenAI Agents SDK
https://developers.openai.com/api/doc...

→ OpenAI Agents SDK Python Docs
https://openai.github.io/openai-agent...

👉 Agent Design Patterns

→ ReAct: Synergizing Reasoning and Acting in Language Models
https://arxiv.org/abs/2210.03629

→ Google Research Blog on ReAct
https://research.google/blog/react-sy...

→ Reflexion: Language Agents with Verbal Reinforcement Learning
https://arxiv.org/abs/2303.11366

👉 MCP and Agent Interoperability

→ Anthropic: Introducing the Model Context Protocol
https://www.anthropic.com/news/model-...

→ Model Context Protocol GitHub
https://github.com/modelcontextprotocol

→ Google: Agent2Agent Protocol
https://developers.googleblog.com/en/...

→ A2A Protocol GitHub
https://github.com/a2aproject/A2A

👉 Context Engineering for Agents

→ Anthropic: Effective Context Engineering for AI Agents
https://www.anthropic.com/engineering...

→ Anthropic: Code Execution with MCP
https://www.anthropic.com/engineering...

→ Anthropic: Writing Effective Tools for Agents
https://www.anthropic.com/engineering...

👉 My Related Resources

→ Designing Agentic AI Systems
https://aishwaryasrinivasan.substack....

→ All you need to know about AI agent frameworks
https://substack.com/@aishwaryasriniv...