Following are the topics covered in this tutorial on Agentic Ai roadmap 2026:
This video on Agentic AI Roadmap 2026 by Simplilearn explains how beginners can start learning Agentic AI step by step. You will understand what Agentic AI is and how it differs from Generative AI and normal AI chatbots. The video explains how AI agents understand goals, plan tasks, use tools, check results, and complete workflows. You will learn the basics of large language models, prompts, context, tokens, and model selection. It also covers the Python skills needed to build practical AI agents and connect them with real-world applications. You will understand prompt engineering, structured outputs, APIs, JSON, and automation. The video introduces Retrieval-Augmented Generation, or RAG, and explains how AI agents use external documents and business data. You will also learn about tool calling, agent memory, planning, human approval, and AI guardrails. Important Agentic AI frameworks such as LangGraph, CrewAI, AutoGen, OpenAI Agents SDK, and LlamaIndex are covered. The video also explains Model Context Protocol, or MCP, and how it connects AI applications with tools and data sources. You will explore beginner-friendly Agentic AI projects, including research assistants, study planners, customer support agents, and multi-agent systems. This Agentic AI tutorial is useful for students, developers, product managers, analysts, marketers, and working professionals. By the end, you will have a clear Agentic AI learning path, project roadmap, and understanding of career opportunities in AI automation and AI agent development.
00:00:05 Introduction to Agentic AI Roadmap 2026
00:01:15 Agenda
00:03:47 Quiz Question
00:04:03 What Is Agentic AI?
00:05:54 Agentic AI in the Current Business Scenario
00:07:40 How Agentic AI Works
00:10:25 Generative AI vs AI Agents vs Agentic AI
00:11:38 Why Agentic AI Matters in 2026
00:14:43 Complete Agentic AI Roadmap
00:15:51 AI and Large Language Model Basics
00:17:04 Python Fundamentals
00:18:17 Prompt Writing and Structured Outputs
00:19:31 Retrieval-Augmented Generation
00:20:38 Tool Calling
00:21:49 Agent Design, Memory, and Human Approval
00:23:37 AI Agent Frameworks
00:24:44 Model Context Protocol
00:26:02 Guardrails and AI Safety
00:27:13 Agentic AI Project Ideas
00:29:11 Three-Month Learning Plan
00:30:04 Agentic AI Career Opportunities
00:31:13 Skills Required for Agentic AI
00:32:01 Agentic AI Business Use Cases
00:33:00 Future of Agentic AI
00:33:56 Roadmap Recap
00:35:37 Outro
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