App Development with Flutter
5-day course
Trainers
Our trainers are industry veterans with more than a decade of experience in mobile application development, machine learning, and AI technologies. They have a rich history of mentoring, with experience teaching at both academic and professional levels.
Structure of the Course
This course is structured into five days of intense, hands-on learning. The first three days cover the fundamentals of Flutter and basic app development. Day 4 is dedicated to Flutter integration with machine learning, and Day 5 explores AI-powered Flutter apps.
Learning Outcomes
- Acquire a foundational understanding of Flutter and Dart programming.
- Build multiple apps ranging from simple to complex architectures.
- Learn how to use Flutter's extensive widget library effectively.
- Integrate machine learning models into Flutter apps.
- Implement AI functionalities like chatbots and image recognition.
Prerequisites
- Basic understanding of programming concepts.
- Familiarity with object-oriented programming will be advantageous but not mandatory.
- No prior experience in mobile application development is required.
Outline
Day 1
Module 1: Introduction to Flutter and Dart
- Flutter Basics: What is Flutter, and why use it for mobile app development.
- Dart Programming Language: Introduction to Dart, the programming language used in Flutter.
- Setting Up Development Environment: Steps to set up your IDE for Flutter development.
Module 2: First Flutter App
- Hello World: Building your first Flutter app.
- Widget Tree: Understanding the basic building blocks - widgets.
Day 2
Module 3: Widgets Galore
- Stateless and Stateful Widgets: The differences and when to use each.
- Common Widgets: Exploring Text, Row, Column, Stack, and other widgets.
Module 4: Fun App 1 - To-Do List
- Planning and Architecture: Designing a simple To-Do List app.
- Building the To-Do List: Hands-on coding to build the app.
Day 3
Module 5: State Management
- Why State Management: Understanding the need for state management.
- Provider Package: Introduction and implementation.
Module 6: Fun App 2 - Quiz App
- Planning and Structure: Designing a Quiz App.
- Building the Quiz App: Hands-on coding to complete the app.
Day 4
Module 7: Introduction to Machine Learning in Flutter
- Overview of ML and Flutter: Why and how to integrate machine learning into Flutter.
- Flutter ML Libraries: Exploring TFLite, MLKit, and others.
Module 8: Fun App 3 - Image Classifier
- Image Classification: Understanding the problem statement.
- Building the Classifier: Hands-on coding to implement the image classifier using a pre-trained model.
Day 5
Module 9: AI in Flutter
- Natural Language Processing: Basics and how they can be applied in Flutter.
- Chatbots: Introduction and implementation.
Module 10: Fun App 4 - Simple Chatbot
- Understanding Chatbots: What they are and how they work.
- Building the Chatbot: Implementing a basic chatbot
Practical, connected learning
My wider training approach brings hands-on implementation and systems thinking together, connecting technology with real operational needs.