
Flet Python Course
Learn to build real, cross-platform applications using Python and Flet — from your first Hello World to a fully deployed desktop, web, or mobile app. This course covers UI design, state management, async data fetching, and production deployment in one structured program. If you know Python basics, you have everything you need to start shipping apps.
What you will learn:
This course takes you through every layer of Flet development, starting with environment setup and core controls, then advancing to state management, multi-page navigation, and async API integration. You will learn how to apply professional theming, build responsive layouts, and add dialogs and loading states that users expect in polished apps. Beyond the UI, you will connect your apps to REST APIs and SQLite databases, then package them for Windows, macOS, Linux, Android, iOS, and the web. Supplementary chapters cover testing strategies, custom reusable components, data visualization, authentication flows, and performance optimization.
How you study in a practical way Flet Python Course
How you practice Flet Python Course
For companies who want to train their team
With Dedika for businesses, the course includes exercises and examples tailored to your own business and the way your company needs.
Course content
8 Chapters • 34 LessonsDuration between 4 and 360 hours (you decide)
Chapter 1HideHide detailsSee detailsIntroduction to Flet and Python Setup
Introduction to Flet and Python Setup
Lesson 1 • Installing Python and Flet
Guides installation of Python 3.8+ and the Flet package via pip. Ensures every student has a verified, functional toolchain before writing code.
Lesson 2 • Your First Flet Application
Builds a minimal Flet app using ft.app() and the Page object. Demonstrates the event loop and hot-reload workflow central to Flet development.
Lesson 3 • What Is Flet and Why Use It
Covers Flet's role as a Flutter-based Python UI framework and its advantages over alternatives. Sets the conceptual foundation for all subsequent development work.
Lesson 4 • Configuring Your Code Editor
Sets up VS Code or PyCharm with Flet-friendly extensions and linting. Proper editor configuration accelerates development throughout the course.
Chapter 2HideHide detailsSee detailsCore Controls and Layout Fundamentals
Core Controls and Layout Fundamentals
Lesson 1 • Row, Column, and Stack Layouts
Explains Flet's primary layout containers and their alignment properties. Correct layout usage is prerequisite to building any non-trivial UI.
Lesson 2 • Text, Icon, and Image Controls
Introduces the most common display controls and their key properties. These controls appear in virtually every Flet application built later in the course.
Lesson 3 • Input Controls: TextField and Dropdown
Teaches user input collection through TextField, Dropdown, and Checkbox controls. Connects to event handling introduced in the next section.
Lesson 4 • Container and Card Controls
Uses Container and Card to apply borders, shadows, and background colors. These wrappers give visual structure to grouped UI elements.
Lesson 5 • Buttons and Click Events
Covers ElevatedButton, TextButton, IconButton, and their on_click handlers. Establishes the event-driven pattern used throughout all interactive Flet apps.
Chapter 3HideHide detailsSee detailsState Management and Page Updates
State Management and Page Updates
Lesson 1 • Dynamic Control Lists
Teaches adding, removing, and reordering controls in page.controls and container children. Enables building lists and feeds that change at runtime.
Lesson 2 • Understanding Flet's State Model
Explains the difference between control properties and rendered state. Clarifies why explicit page.update() calls are required after mutations.
Lesson 3 • Using Python Classes for State
Encapsulates UI logic and state in Python classes to avoid global variables. This pattern scales to complex apps covered in later chapters.
Lesson 4 • Reactive Counters and Toggles
Builds practical counter and toggle examples that reinforce the update cycle. Hands-on exercises solidify the state management concepts from prior sections.
Chapter 4HideHide detailsSee detailsNavigation and Multi-Page Applications
Navigation and Multi-Page Applications
Lesson 1 • Passing Data Between Views
Demonstrates techniques for sharing data across views without global state. Clean data passing is critical for maintainable multi-page applications.
Lesson 2 • Page Views and the View Stack
Introduces the View control and how Flet manages a stack of views. Understanding the view stack is essential before implementing any routing.
Lesson 3 • Navigation Rail and Bottom Navigation Bar
Implements NavigationRail and NavigationBar for persistent navigation patterns. These components are standard in professional desktop and mobile apps.
Lesson 4 • URL-Based Routing with on_route_change
Configures Flet's built-in routing via page.on_route_change and page.route. Enables deep-linkable, browser-compatible navigation for web deployments.
Chapter 5HideHide detailsSee detailsDialogs, Overlays, and User Feedback
Dialogs, Overlays, and User Feedback
Lesson 1 • AlertDialog and Confirmation Flows
Builds modal AlertDialogs for confirmations and informational messages. Proper dialog management prevents common UI blocking bugs.
Lesson 2 • Progress Indicators and Loading States
Adds ProgressBar and ProgressRing to communicate async operation status. Proper loading states are essential for apps that fetch data or process files.
Lesson 3 • BottomSheet and Drawer Controls
Implements BottomSheet for contextual actions and Drawer for side navigation. Both controls are common in mobile-first Flet applications.
Lesson 4 • SnackBar and Banner Notifications
Uses SnackBar and Banner to deliver non-blocking feedback messages. These controls follow standard UX conventions for transient notifications.
Chapter 6HideHide detailsSee detailsAsync Programming and Data Integration
Async Programming and Data Integration
Lesson 1 • Reading and Writing Local Files
Integrates Python file I/O with Flet's FilePicker control for reading and saving data. Enables offline-capable desktop applications.
Lesson 2 • Fetching Data with httpx
Uses the httpx library to make async HTTP GET and POST requests. Fetched data is then rendered into Flet controls in subsequent sections.
Lesson 3 • Connecting to a SQLite Database
Uses Python's sqlite3 module to persist and query structured data from a Flet app. Provides a complete local data layer for CRUD applications.
Lesson 4 • Async Handlers in Flet
Explains how Flet supports async event handlers natively and when to use them. Async handlers are the correct pattern for any I/O-bound operation.
Lesson 5 • Displaying Dynamic Lists from APIs
Renders API response data into ListView and DataTable controls. Connects data-fetching skills to the layout and state skills from earlier chapters.
Chapter 7HideHide detailsSee detailsTheming, Styling, and Responsive Design
Theming, Styling, and Responsive Design
Lesson 1 • Animations and Transitions
Adds AnimatedSwitcher, AnimatedContainer, and implicit animations to enhance UX. Subtle motion improves perceived quality without complex custom code.
Lesson 2 • Typography and Custom Fonts
Loads custom fonts and applies TextStyle across the application. Consistent typography is a key marker of professional UI quality.
Lesson 3 • Flet Theme System and ColorScheme
Configures page.theme using ThemeData and ColorScheme for global styling. A unified theme eliminates ad-hoc color and font settings throughout the codebase.
Lesson 4 • Responsive Layouts with ResponsiveRow
Uses ResponsiveRow and column breakpoints to adapt layouts to screen width. Responsive design is mandatory for apps targeting both desktop and mobile.
Chapter 8HideHide detailsSee detailsDeployment and Distribution
Deployment and Distribution
Lesson 1 • Building for Android and iOS
Configures Flet's mobile build pipeline for Android APK and iOS IPA targets. Mobile deployment requires platform-specific toolchains and manifest settings.
Lesson 2 • Packaging Desktop Executables
Uses flet build to create standalone executables for Windows, macOS, and Linux. Standalone builds eliminate Python installation requirements for end users.
Lesson 3 • Running Flet as a Web App
Deploys a Flet app to a web server using flet run --web and production hosting options. Web deployment exposes apps to any browser without installation.
Lesson 4 • Continuous Integration for Flet Apps
Automates testing and builds using a CI pipeline with GitHub Actions or equivalent. Automated pipelines ensure consistent, reproducible deployments.
Your valid completion certificate
This course is for you:
Python hobbyists: ready to turn scripts into real graphical applications.
Backend developers: wanting to add a visual front end to their Python projects.
Data analysts: looking to wrap their Python pipelines in a shareable app interface.
Career changers: building a portfolio to break into software development roles.
Automation engineers: aiming to give their tools a professional, clickable interface.
Computer science students: seeking hands-on experience shipping complete cross-platform apps.
What our students say
Your classes are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of my interest without needing to change platforms... I thank you for everything you do, I've already recommended you to other people...

I like how the lessons are straight to the point and how I can switch chapters and skip content I don't need.

I like the content and the way videos are presented and transcribed, which speeds up the process!

The platform is fast, simple to use. The diversity of content and complementary videos really help with learning.

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