AIFLX

Library / Artificial Intelligence

Full Stack Python Programming for Agentic & Generative AI

On Udemy

About this course

Python is the leading programming language for Artificial Intelligence, Agentic AI, Generative AI, Machine Learning, Data Science, automation, web development, and cloud applications. Whether you are a complete beginner or an experienced developer looking to strengthen your Python skills, this comprehensive course will guide you from the fundamentals to advanced concepts through practical, hands-on learning.

In this course, you will build a strong foundation in Python programming while learning how to create modern applications that power AI agents, intelligent automation, APIs, and full stack solutions. Every concept is explained with real-world examples and practical coding exercises to help you gain confidence and write clean, efficient, and maintainable Python code.

You will start by learning Python basics, including variables, data types, operators, conditional statements, loops, functions, modules, file handling, and exception handling. As you progress, you will master object-oriented programming, advanced Python concepts, decorators, generators, iterators, context managers, multithreading, multiprocessing, asynchronous programming, and best coding practices.

The course also covers working with JSON, CSV, XML, regular expressions, logging, configuration files, virtual environments, package management, testing, debugging, and Python project organization. You will learn to interact with databases using SQL and SQLite, build RESTful APIs with FastAPI, consume external APIs, and create automation scripts for real-world tasks.

As you advance, you will explore the Python ecosystem for AI development, including NumPy, Pandas, Matplotlib, and essential libraries used in data processing and AI workflows. You will learn how Python integrates with Large Language Models (LLMs), Generative AI applications, Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), vector databases, tool calling, and modern AI agent frameworks.

The course introduces the concepts behind Agentic AI

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