Full Stack Python Programming for Agentic AI & Data Science

About this course

Full Stack Python Programming for Agentic AI and Data Science is a comprehensive online course designed for learners who want to build strong Python programming skills and apply them to modern Artificial Intelligence, Agentic AI, Data Science, and full stack application development.

The course takes you from Python fundamentals to advanced programming concepts and practical AI and data science applications. You will learn variables, data types, operators, conditional statements, loops, functions, modules, exception handling, object-oriented programming, file handling, and working with APIs. You will also explore advanced Python techniques that are useful for developing scalable and intelligent applications.

As you progress, the course introduces Python for Data Science, including NumPy, Pandas, data cleaning, data transformation, exploratory data analysis, visualization, and working with real-world datasets. You will learn how Python can be used to extract meaningful insights from data and support machine learning and AI workflows.

A major focus of the course is Agentic AI development. You will understand how AI agents work, how they use tools and external data, and how Python can be used to create intelligent applications capable of reasoning, planning, and executing tasks. You will also explore concepts such as Large Language Models, prompt engineering, Retrieval-Augmented Generation, APIs, AI workflows, and multi-step agent applications.

The full stack development section helps you connect Python back-end programming with modern web applications. You will learn how to build APIs and interactive applications using popular Python frameworks and integrate databases, AI models, and data processing pipelines.

Through hands-on examples and practical projects, you will gain experience developing Python applications that combine programming, data science, web development, and Agentic AI. The course is suitable for beginners as well as programmers who want to upgrade their skills for th

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