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Python Mega Course: Build 20 Real-World Apps and AI Agents
Role Play
Rating: 4.6 out of 5(73,403 ratings)
362,816 students

Python Mega Course: Build 20 Real-World Apps and AI Agents

Learn Python from beginner to pro — build and deploy web apps, APIs, automation, data science & AI agents.
Last updated 6/2026
English

What you'll learn

  • Build 20 real-world Python apps, AI Automations & Agents from scratch.
  • Automate repetitive tasks using Python scripts.
  • Create your own web apps, data science tools, and desktop GUIs.
  • Master core Python concepts through a hands-on, project-based approach.
  • Integrate Python with modern AI tools like LangChain to build intelligent Agents and Automations.
  • Work with APIs, web scraping, and data processing to solve real problems.
  • Gain the confidence to tackle any new Python project on your own.
  • Build apps using essential Python libraries -including PyQt, Flask, Django, Pandas, Selenium, LangChain 1, and more.

Coding Exercises

This course includes our updated coding exercises so you can practice your skills as you learn.

See a demo
Image of coding exercise example

Course content

57 sections468 lectures49h 34m total length
  • Welcome to the Python Mega Course1:21

    Begin learning Python from day one by building real apps, including AI-powered assistants, while mastering fundamentals via a task manager and exploring automation, web development, APIs, and data science.

  • Helpful Resources0:21
  • Today's Goals3:37

    Kick off day one by building a command line to-do list app in Python, using lists and a text file, then extend to web and desktop versions with PyCharm setup.

  • Installing Python and PyCharm7:58

    Learn to install a Python IDE and interpreter, choose the PyCharm community edition over professional, and set up on Windows, Mac, or Linux using guided downloads.

  • Getting Started with PyCharm11:00

    Learn how to set up PyCharm, create a new Python project, select an interpreter, write a hello world program, and run it to see output.

  • Building the Task Manager App - The First Step4:08

    Build a Python to-do list app by applying the input processing output workflow, create a main.py, and display the to-do list in the console.

  • A Note On The Exercises3:00
  • Printing Out Text
  • Printing Out Any Text
  • Getting User Input10:19

    Learn how to get user input in python with the input function, store it in a variable, and print the resulting string.

  • Declaring Variables
  • Storing User Input in Lists7:44

    Teach students to collect multiple user inputs in a list, using input to create todo items and print the list, while explaining string types and list usage in Python.

  • Creating Lists of Variables
  • Creating Lists of Variables and Strings
  • Printing List of Strings
  • Printing the Type
  • What is a bug?0:34
  • Coding Experiments6:51

    Explore Python through hands-on code experiments that show how changing quotes, parentheses, whitespace, and line structure affects outputs and syntax errors, guided by PyCharm in real time.

  • Bonus Example4:01

    Explore bonus example videos by writing small Python programs to revise concepts like input, len, and print, checking a title's length against a 100-character limit.

  • Bug-Fixing Exercises0:33
  • Programming Tool/Concept of the Day: The Python Console5:45

    Master the Python console to quickly test code, declare variables, check types, and explore input and lists, whether in PyCharm or a terminal, with on-demand execution.

  • FAQ0:55
  • Quiz, Day 1
  • Cheatsheet, Day 10:07
  • Course Cheatsheets0:43
  • Programming Terms: A to Z Glossary10:01
  • How to use Role Play for Checking Your Skills4:14

    Use role play at the end of each section to revise and test your Python skills, guided by an AI tutor, covering variables, strings, lists, and user input.

  • Section Skill Check
  • Section 1 Source Code0:06

Requirements

  • A computer running Windows, macOS, or Linux
  • No prior programming experience needed

Description

Most people who try to learn Python quit.

Not because Python is hard — but because tutorials teach you syntax you forget by Tuesday. You watch, you nod, you copy the code… and a week later you still can't build anything on your own.

This course fixes that. You don't learn Python and then build apps — you learn Python by building 20 real-world apps, including AI agents with LangChain. By the end you won't just "know Python." You'll have built things real people can actually use.

Taught by Ardit Sulce, trusted by 600,000+ students across Udemy. This course alone has 362,000+ students and 73,000+ ratings at 4.6★ — one of the most popular Python courses on the platform.

And the timing has never mattered more. AI can write code — but it can't build and ship your app. Real software isn't a single snippet; it's many pieces wired together: databases, APIs, a web framework, and the logic that connects them all. Understanding how those parts fit is what separates someone who "can code" from someone who can actually ship working software — and it's exactly the part AI still can't do for you. This course teaches it the only way that sticks: by building 20 complete apps where you connect databases, consume and build APIs, and assemble all the moving parts into something real. You even learn to build AI agents yourself with LangChain — so you come out both AI-proof and AI-powered.

What you'll be able to do

  • Build and run real applications — desktop apps, web apps, APIs, data tools, and AI agents — that work for real users, not throwaway scripts.

  • Add a skill that opens doors: higher pay, more responsibility, and the option to move into full-time development.

  • Solve real problems on your own — the confidence to take any idea and turn it into working software.

  • Do the part AI can't: connect databases, wire up APIs, and assemble all the pieces into a real, working app — then put AI to work for you by building your own agents.

Why this course is different

  • Project-based from day one. You build interesting apps that keep you motivated — not endless theory.

  • You learn programming logic, not memorized syntax. That's the skill that lasts.

  • You go beyond scripts to full applications, with real-world structure and deployment.

  • You build AI automations and agents with Python and the new LangChain v1 — the skill separating relevant developers from replaceable ones.

  • Every concept is reinforced with hands-on practice, so it actually sticks.

What's inside

  • 20 real-world apps built step by step — automation tools, web apps, APIs, data science tools, web scrapers, desktop GUIs, and AI agents.

  • 57 sections, 454 lectures (~50 hours of video) taking you from the absolute basics to advanced topics.

  • 84 hands-on coding exercises to practice as you learn.

  • Dedicated bug-fixing exercises that train you to read and fix real errors.

  • Quizzes to lock in the theory.

  • AI Role Play skill checks — practice and test your skills with an AI tutor at the end of each section.

  • Cheatsheets, an A–Z programming glossary, and downloadable source code for every section.

  • Q&A community support plus the ability to message the instructor.

  • Tips, tricks, and real-world advice throughout.

Who this is for

  • Complete beginners who want to finally understand Python by building real things.

  • Working professionals who want to add Python to their current role and become more valuable at work.

  • Career switchers who want to become full developers.

  • Anyone who's tried Python before but it didn't stick.

No prior programming experience required. All you need is a computer (Windows, macOS, or Linux) and the willingness to write code as you go.

Build real apps. Gain a skill that pays. Enroll now and start building today.

Who this course is for:

  • Complete beginners who want to finally understand Python by building real projects
  • Self-taught coders who feel stuck in tutorials and want to apply their skills
  • Professionals and students who want to automate tasks, analyze data, or build tools
  • Anyone who has tried learning Python before but it didn’t stick
  • Learners who want to go beyond theory and build apps they can actually use