Python from Zero to AI - Build Chatbots with OpenAI & Gemini

Step-by-step guide to download and install Python on Windows, configure environment variables, and verify your installation is working correctly.

Learn how to use Google Colab - a free cloud-based Python environment that requires no installation, perfect for learning and experimenting with code.

Understand how the Python interpreter works, run your first commands, and learn the difference between interactive mode and script execution.

Learn how to create and use variables in Python - naming conventions, data types, assigning values, and working with strings and numbers.

Master Python operators: arithmetic, comparison, logical, and assignment operators - perform calculations and build conditional expressions.

Learn how to get user input in Python using the input() function - create interactive programs that respond to user data and choices.

Control program flow with conditional statements - learn if, elif, and else to make decisions and execute different code based on conditions.

Learn how to repeat code with while loops - create iterations, control loop flow with break and continue, and avoid infinite loops.

Master the for loop - iterate over sequences, use range() function, and loop through strings, lists, and other data structures efficiently.

Learn Python lists - create, access, modify, and manipulate collections of data using indexing, slicing, and built-in list methods.

Master Python dictionaries - store key-value pairs, access and modify data, loop through items, and use dictionary methods effectively.

Create reusable code with functions - define parameters, return values, understand scope, and organize your code into modular blocks.

Learn anonymous lambda functions - write concise one-line functions for quick operations and use them with map, filter, and sorting.

Use the map() function to apply transformations to every element in a list or sequence - write cleaner and more efficient Python code.

Use the filter() function to select elements from a list based on conditions - create cleaner code without writing explicit loops.

Use the filter() function to select elements from a list based on conditions - create cleaner code without writing explicit loops.

Understand the core concepts of Object-Oriented Programming - what OOP is, why it matters, and how it makes your code more organized and reusable.

Learn how to create classes and objects in Python - define blueprints for your data and create instances with their own properties and behaviors.

Understand class and instance attributes - store data in objects, define default values, and access properties using self keyword.

Create class methods to define object behaviors - use self parameter, pass arguments, return values, and build functional objects.

Learn encapsulation - protect data with private attributes, use getters and setters, and control access to your object's internal state.

Master inheritance in Python - create child classes, extend parent functionality, override methods, and reuse code efficiently.

Understand polymorphism - use the same method names across different classes and create flexible code that works with multiple object types.

Learn to handle errors gracefully - use try, except, and finally blocks to catch exceptions and prevent your programs from crashing.

Apply Don't Repeat Yourself principle to error handling - create reusable exception handlers and write cleaner, maintainable code.

Understand what APIs are, how they work, HTTP methods, endpoints, request/response cycle, and why APIs are essential in modern programming.

Build your first API integration - fetch real weather data from Open-Meteo API, handle responses, and display results in your Python app.

Connect to a weather API using API keys and authentication - learn how to securely access protected endpoints and handle authorized requests.

Learn Clean Architecture principles - organize your code into layers, separate concerns, and build scalable, maintainable Python applications.

Master JSON data format - parse, create, read and write JSON files, and exchange data between your Python apps and external APIs.

Create a reusable adapter for OpenAI API - connect to ChatGPT, send prompts, handle responses, and integrate AI into your Python projects.

Create a reusable adapter for Google Gemini API - connect to Gemini AI, send requests, process responses, and add Google AI to your apps.

Build an adapter for Hugging Face API - generate images with Stable Diffusion AI and integrate text-to-image capabilities into your Python apps.

Final project: build a complete AI chatbot from scratch - combine everything you've learned to create an interactive conversational assistant.