Agentic AI, RAG and MCP for beginners

About this course

Step into the future of AI with the Agentic AI with Python online course, designed to help learners understand how intelligent AI agents can reason, make decisions, use tools, and complete tasks autonomously. This hands-on course combines Python programming with modern Agentic AI concepts to help you build practical AI-powered applications.

You will begin with the fundamentals of Agentic AI and learn how AI agents differ from traditional chatbots and generative AI systems. The course covers essential concepts such as autonomous decision-making, reasoning, planning, memory, tool usage, agent workflows, and multi-agent systems.

Using Python, you will learn how to create AI agents that can interact with APIs, process information, execute tasks, work with external tools, and respond dynamically to changing situations. You will also explore important concepts related to Large Language Models (LLMs), prompts, structured outputs, function calling, retrieval-augmented generation (RAG), and agent orchestration.

The course emphasizes hands-on learning through practical examples and real-world projects. You will gain experience designing intelligent workflows and developing AI agents capable of automating tasks and solving complex problems.

Whether you are a Python developer, AI enthusiast, student, or professional looking to enter the rapidly growing field of Agentic AI, this course provides a practical foundation for building intelligent applications with Python.

By the end of the course, you will have the knowledge and practical skills needed to design, develop, and experiment with Python-based AI agents and apply Agentic AI concepts to real-world use cases.

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