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Python for AI, GenAI & Agentic AI
New
1 students

Python for AI, GenAI & Agentic AI

Learn Python from Beginner to Intermediate with Hands-On Coding, Practical Projects, and Foundations for Generative AI
Last updated 10/2026
English

What you'll learn

  • Understand Python fundamentals, including variables, data types, operators, and basic syntax.
  • Write and execute Python programs using Google Colab and Visual Studio Code.
  • Use Python control flow, collections, functions, and other core programming concepts in practical examples.
  • Understand Python database connectivity, logging, multithreading, and REST APIs.

Course content

1 section • 30 lectures • 8h 57m total length
  • Introduction to Python | Python for AI, GenAI & Agentic AI30:19
  • How to install Python on Windows22:15
  • Python Syntax, Variables & Data Types34:19
  • Python Operators23:15
  • Input, Output & Type Conversion30:13
  • Conditional Statements16:09
  • for and while loops23:11
  • loop control statements12:46
  • String Handling10:22
  • Collection Datatypes41:25
  • Python Functions14:47
  • PythonModules11:08
  • Python Packages12:36
  • LambdaFunction13:19
  • Python Variable-Length Arguments: *args and **kwargs15:36
  • OOPS Fundatamentals32:19
  • Encapsulation18:27
  • Inheritance32:13
  • Polymorphisam13:34
  • Python Exception Handling15:13
  • File Handling12:09
  • Regular Expressions9:45
  • Python Iterators8:40
  • Python Generators12:44
  • Pyhton garbage collection12:00
  • MultiThreading13:13
  • Python Database Connectivity14:02
  • Python Logging & Application Monitoring11:43
  • Python OS, Date & Time Modules9:48
  • REST API WITH PYTHON10:14

Requirements

  • Basic computer knowledge is required. No prior Python programming experience is needed. You will learn Python step by step through practical examples and coding demonstrations.

Description

Course Overview

Welcome to Python for AI, GenAI & Agentic AI: Beginner to Intermediate.

This course is designed for beginners, students, working professionals, and aspiring AI engineers who want to learn Python programming through practical examples and hands-on demonstrations.

Python is widely used in software development, automation, data science, Artificial Intelligence, Generative AI, and Agentic AI applications. This course helps you build a strong foundation in Python programming before exploring advanced AI technologies.

What You Will Learn

  • Python fundamentals, syntax, variables, and data types

  • Operators, input, output, and type conversion

  • Conditional statements and loops

  • Loop control statements

  • Strings and string manipulation

  • Lists, tuples, sets, and dictionaries

  • Functions, arguments, *args, and **kwargs

  • Exception handling and error management

  • File handling and working with Python modules

  • Practical Python coding examples

  • Introduction to REST APIs with Python

  • Foundations for learning Generative AI and Agentic AI

Practical Learning Approach

This course focuses on step-by-step explanations, coding demonstrations, and practical examples to help you understand Python concepts clearly. You will learn how to write Python programs, understand programming logic, and develop confidence in solving basic programming problems.

Who Should Take This Course?

  • Beginners who want to learn Python programming

  • Students preparing for software and AI-related careers

  • IT professionals who want to improve their Python skills

  • Aspiring Generative AI and Agentic AI developers

  • Anyone interested in learning Python through practical demonstrations

Prerequisites

No prior Python programming experience is required. Basic computer knowledge and an interest in programming are sufficient.

By the end of this course, you will have a foundation in Python programming and a starting point for learning automation, APIs, Generative AI, and Agentic AI development.

Who this course is for:

  • Beginners who want to learn Python programming, students, recent graduates, working IT professionals, aspiring software developers, and learners who want to build a foundation for Generative AI and Agentic AI.