Offered By: IBMSkillsNetwork
Introduction to Agentic AI
This course introduces the fundamentals of AI agents through a rich mix of interactive content. Learn what AI agents are, how they function, and why they are shaping the future of technology. Engage with an AI-driven podcast that responds to your questions, watch informative videos, explore curated readings, and check your understanding with short quizzes. Perfect for anyone looking to build a strong foundation in agentic artificial intelligence.
Continue readingCourse
Artificial Intelligence
381 EnrolledAt a Glance
This course introduces the fundamentals of AI agents through a rich mix of interactive content. Learn what AI agents are, how they function, and why they are shaping the future of technology. Engage with an AI-driven podcast that responds to your questions, watch informative videos, explore curated readings, and check your understanding with short quizzes. Perfect for anyone looking to build a strong foundation in agentic artificial intelligence.
What Youâll Learn
- Explain the core principles of agentic AI and distinguish it from generative AI models.
- Describe how AI agents interact with tools and services using protocols like MCP to perform complex tasks autonomously.
- Analyze the structure and function of orchestrator agents and how they coordinate multiple agents to complete workflows.
- Evaluate the benefits, limitations, and risks of deploying agentic AI in real-world environments and multi-agent systems.
Course Overview
- Explore how agentic AI differs from generative AI and why this matters in real-world applicationsÂ
- Understand what makes an AI system an âagentâ and how agents operate independentlyÂ
- Examine how agentic systems compare to traditional AI workflows and automation toolsÂ
- Learn about different categories of AI agents and the roles they playÂ
- Identify practical scenarios where agentic AI is usefulâand where it may not be the best fitÂ
- Discover how AI agents enhance their capabilities by interacting with external tools and servicesÂ
- See how agents can perform tasks like querying databases using real-world examples such as SQL agentsÂ
- Understand the Model Context Protocol (MCP) and how it enables seamless tool integrationÂ
- Learn when itâs appropriate for agents to call tools automatically versus when human oversight is neededÂ
- Understand the importance of Retrieval-Augmented Generation (RAG) for accessing up-to-date informationÂ
- Learn how agents use RAG to improve reasoning and decision-makingÂ
- Explore orchestrator agents, which coordinate multiple specialized agents to complete complex workflowsÂ
- Get introduced to the basics of multi-agent systems and how they communicate and collaborateÂ
- Examine the potential risks and challenges of deploying agentic AI in real-world environmentsÂ
Course prerequisites
Estimated Effort
3 Hours
Level
Beginner
Skills You Will Learn
Agentic AI, AI Agent, Artificial Intelligence, Generative AI, LLM
Language
English
Course Code
AI0146EN