Agentic AI Full Course for Beginners 2026 | Complete AI Agents Tutorial | Intellipaat
๐ฅEnroll for Agentic AI Course: https://intellipaat.com/agenti....c-ai-systems-design-
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Learn Agentic AI from scratch with this complete course covering the core concepts, frameworks, and technologies powering modern AI agents. Begin with the fundamentals of Generative AI vs Agentic AI, understand how Generative AI systems work, and explore LangChain, AI Agents, and Agentic AI Design Patterns.
Go deeper into Agentic AI Frameworks, Embeddings, Large Language Models (LLMs), and RAG Agents to understand how intelligent systems process information, retrieve relevant context, and perform tasks. The course also introduces Model Context Protocol (MCP) and its importance in connecting AI models with external tools, applications, and data.
Whether youโre a beginner exploring Agentic AI or a developer looking to build AI-powered applications, this course provides a structured foundation to understand the concepts and technologies behind AI agents. Use the timestamps below to navigate through each topic and learn at your own pace.
๐ Below are the concepts covered in the video on "Agentic AI Full Course":
00:00:00 โ Introduction to Agentic AI Course
00:01:18 โ Generative AI vs Agentic AI
00:10:57 โ What is a Generative AI System?
01:03:48 โ What is LangChain
01:23:32 โ AI Agents
01:41:50 โ Agentic AI Design Patterns
02:33:37 โ Agentic Frameworks & Basics
04:34:25 โ Embeddings
05:05:53 โ Large Language Model
06:54:04 โ RAG Agent
07:52:06 โ Model Context Protocol
#AgenticAI #AIAgents #LangChain #RAG #LLM #ArtificialIntelligence #GenerativeAI #Intellipaat
โก๏ธ 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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