Agentic and MCP with RAG with Python for beginners

About this course

Python for Agentic AI and Generative AI is a practical course designed to help learners build a strong foundation in Python programming while applying it to modern Artificial Intelligence technologies. The course is ideal for beginners, developers, students, data professionals, and anyone who wants to learn how Python can be used to build intelligent and AI-powered applications.

Python has become one of the most important programming languages for Artificial Intelligence, Generative AI, Large Language Models, automation, and data-driven applications. In this course, you will learn Python programming concepts and gradually apply them to real-world AI use cases.

You will begin by understanding Python fundamentals, including variables, data types, operators, conditional statements, loops, functions, collections, modules, exception handling, and object-oriented programming. You will also learn how to work with files, APIs, JSON data, and other components that are commonly required when developing AI applications.

The course then introduces the concepts behind Generative AI and Large Language Models. You will learn how Python can be used to interact with AI models, process prompts and responses, work with APIs, and create intelligent applications.

The course focuses on practical learning rather than memorizing syntax. You will learn how to think programmatically, solve problems using Python, understand AI application architecture, and gradually develop your own AI-powered solutions.

By the end of the course, you will have a solid understanding of Python programming and how it can be applied to Generative AI and Agentic AI development. You will be prepared to continue learning advanced topics such as Large Language Models, RAG, AI agents, automation, AI frameworks, and production-ready AI applications.

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