Loading…
Loading…
Loading…
A complete Python programming course taking you from absolute beginner to advanced topics including OOP, data structures, file handling, web basics, and AI-ready libraries like NumPy, Pandas, and scikit-learn.
CoursesUniverse
Instructor
Free course
Enroll instantly — all lessons included
This course includes:
This comprehensive Python course is designed to take you from zero programming experience to a confident Python developer ready for AI, data science, and backend development work. The course covers Python fundamentals (variables, data types, operators, control flow), functions and scope, data structures (lists, tuples, sets, dictionaries), object-oriented programming (classes, inheritance, polymorphism, encapsulation), error handling and exceptions, file I/O and working with JSON/CSV data, regular expressions, modules and packages, virtual environments, working with APIs, web scraping basics, unit testing and debugging, and an introduction to the Python AI ecosystem (NumPy, Pandas, Matplotlib, scikit-learn). Each module combines clear explanations, real code examples, and hands-on exercises so you build muscle memory through practice. By the end of the course you will be able to write clean, idiomatic Python, build scripts and small applications, process and analyze data, and be prepared to continue into machine learning and AI development paths. No prior programming experience is required. A computer with internet access and a modern browser is all you need to follow along.
An LLM agent is a system that can execute tasks given in natural language or structured formats. It uses the planning capabilities of Large Language Models (LLMs) by calling tools that enable interaction with its environment. The agent also includes a memory mechanism. Both the agent's process and outcomes are non-deterministic.
Python Full Course: From Zero to AI
Free course
Lesson 1.1 — What Is Python and Why Learn It
Lesson 1.2 — Installing Python and Verifying Your Setup
Lesson 1.3 — Your First Python Script
Lesson 1.4 — How Python Runs Your Code
Lesson 1.5 — Setting Up an Editor: VS Code and IDLE
Lesson 2.1 — Variables: Naming and Assigning Values
Lesson 2.2 — Numbers: int, float, and Complex
Lesson 3.1 — if, elif, else: Making Decisions
Lesson 3.2 — for Loops: Iterating Over Sequences
Lesson 3.3 — while Loops and Loop Control
Lesson 4.1 — Defining and Calling Functions
Lesson 4.2 — Arguments, Defaults, and Return Values
Lesson 4.3 — Variable Scope: Local, Global, and nonlocal
Lesson 5.1 — Lists: Create, Modify, and Slice
Lesson 5.2 — Tuples and Their Immutability
Lesson 5.3 — Dictionaries: Key-Value Data
Lesson 6.1 — Classes and Objects
Lesson 6.2 — Encapsulation and Properties
Lesson 6.3 — Inheritance and super()
Lesson 7.1 — try / except: Handling Errors Gracefully
Lesson 7.2 — Raising Custom Exceptions
Lesson 8.1 — Imports: Organizing Code with Modules
Lesson 8.2 — pip: Installing Third-Party Packages
No reviews yet. Be the first to review!
Enroll in this course to join the discussion.
No comments yet. Start the discussion!
Lesson 2.3 — Strings: Text in Python
Lesson 2.4 — Booleans, None, and Type Checking
Lesson 2.5 — Operators: Arithmetic, Comparison, Logical
Lesson 2.6 — Type Conversion and Casting
Lesson 3.4 — List Comprehensions
Lesson 4.4 — Lambda Functions and Higher-Order Functions
Lesson 5.4 — Sets: Unique Items and Set Math
Lesson 5.5 — String Methods and Formatting
Lesson 6.4 — Polymorphism and Method Overriding
Lesson 6.5 — Special (Dunder) Methods
Lesson 7.3 — Reading and Writing Text Files
Lesson 7.4 — Working with CSV Data
Lesson 7.5 — JSON: Reading and Writing Structured Data
Lesson 8.3 — Virtual Environments