Agentic AI Full Course for Beginners 2026 | Complete AI Agents Tutorial | Intellipaat

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Learn the future of AI with this complete Agentic AI course by Intellipaat. In this video, you’ll understand the difference between Generative AI and Agentic AI, explore AI Agents, LangChain, Embeddings, Large Language Models (LLMs), RAG Agents, and Model Context Protocol (MCP) with detailed explanations and practical insights.

This Agentic AI Full Course for Beginners 2026 is designed for students, developers, and professionals who want to build a strong foundation in autonomous AI systems and modern AI workflows. From Agentic AI design patterns to frameworks and real-world AI concepts, this course covers everything step-by-step for beginners as well as intermediate learners.

Topics Covered: Introduction to Agentic AI, Generative AI vs Agentic AI, Generative AI Systems, LangChain, AI Agents, Agentic AI Design Patterns, Agentic Frameworks, Embeddings, Large Language Models, RAG Agents, and MCP. Start learning with Agentic AI Full Course for Beginners 2026 and stay ahead in the AI revolution.

📖 Below are the concepts covered in the video on "Agentic AI Full Course":
00:00:00 – Introduction to Agentic AI Course
00:01:26 – Generative AI vs Agentic AI
00:11:05 – What is a Generative AI System?
01:03:56 – What is LangChain
01:23:40 – AI Agents
01:41:58 – Agentic AI Design Patterns
02:33:45 – Agentic Frameworks & Basics
04:34:33 – Embeddings
05:06:01 – Large Language Model
06:54:12 – RAG Agent
07:52:14 – Model Context Protocol

#AgenticAI #AIAgents #LangChain #RAG #LLM #ArtificialIntelligence #GenerativeAI #Intellipaat

➡️ About the Course
The Agentic AI Systems & Design course by Intellipaat is an advanced program focused on building autonomous AI agents that can plan, reason, and execute tasks using tools like APIs, coding environments, and web search. Unlike traditional Generative AI courses, this program goes beyond prompt-based outputs and teaches you how to design production-grade AI systems capable of independent decision-making and complex problem-solving. It is ideal for professionals such as data scientists, AI/ML engineers, and developers who want to move from basic AI usage to creating intelligent, real-world applications powered by agentic workflows

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