Agentic AI with LLMs and AI Agents

About this course

Step into the next generation of Artificial Intelligence with this comprehensive Agentic AI online course. Learn how intelligent AI agents can understand goals, reason through complex tasks, make decisions, use tools, interact with external systems, and execute multi-step workflows with greater autonomy.

This course provides a practical introduction to Agentic AI and explores how Large Language Models (LLMs) can be transformed into intelligent, goal-oriented agents. You’ll learn the core concepts behind AI agents, including reasoning, planning, tool use, memory, context management, agent workflows, and autonomous task execution.

You’ll explore how Agentic AI differs from traditional chatbot and generative AI applications and understand the components required to build reliable AI agent systems. The course covers important concepts such as prompts, LLMs, function calling, APIs, retrieval-augmented generation (RAG), vector databases, agent memory, multi-agent systems, and AI-powered automation.

Through practical examples and hands-on projects, you’ll learn how to design AI agents capable of researching information, processing data, interacting with tools, automating repetitive tasks, and solving real-world problems. You’ll also explore popular frameworks and approaches used for developing modern AI agent applications

By the end of the course, you’ll have a solid understanding of Agentic AI architecture, AI agent workflows, LLM-powered applications, tool integration, memory, RAG, and autonomous systems. You’ll be equipped with the foundational knowledge and practical skills needed to start designing and developing your own intelligent AI agents.

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