1. Module Introduction

• Overview of the course and what will be covered.

2. A Challenge For You!

• Hands-on exercise to apply learned concepts.

3. Creating a Widget

• Building basic and advanced Flutter widgets.

4. Adding Icons to Buttons

• Implementing icons and button functionality.

5. Rendering Content Conditionally

• Dynamically showing content based on conditions.

6. The "initState" Method

• Understanding the initialization of state in widgets.

7. Stateful Widget Lifecycle

• Deep dive into Flutter’s stateful widget lifecycle.

8. Using Ternary Expressions & Comparison Operators

• Conditional rendering with ternary operators.

9. Managing State with Functions

• Passing functions across widgets to manage state.

10. Creating a Reusable Custom Styled Button

• Building customizable, reusable buttons.

11. Mapping Lists & Using the Spread Operator

• Efficiently working with lists and data.

12. Managing Layouts with Columns and Rows

• Structuring widgets in flexible column and row layouts.

13. Using Third-Party Packages & Google Fonts

• Integrating external packages and Google Fonts.

14. Creating the Results Screen

• Setting up and displaying the results of the quiz.

15. Handling Data with Maps and Loops

• Using maps and loops to manage data efficiently.

16. Making Content Scrollable

• Enabling scrolling in content-heavy views.

17. Module Summary

• Recap and key takeaways from the module.

1. Module Introduction

• Overview of the module and what will be covered.

2. Starting Setup & Repetition Time!

• Setting up the Flutter project and reviewing key concepts.

3. Expense Data Model & Initializer Lists

• Creating an expense model with a unique ID.
• Exploring initializer lists in Dart.

4. Introducing Enums

• Understanding and implementing enums in Dart.

5. Creating & Rendering Data

• Creating dummy expense data.
• Using ListView for efficient rendering of long lists.
• Nesting lists inside lists.

6. Customizing List Items

• Using Card & Spacer widgets to build custom list items.
• Adding icons and formatting dates.

7. AppBar & Modal Sheets

• Setting an AppBar with title and action buttons.
• Using modal sheets for user input.

8. Handling User Input

• Using TextField for text input.
• Capturing user input on every keystroke.
• Managing input efficiently with TextEditingController.

9. Managing User Data

• Adding and saving new expenses.
• Closing modals manually.
• Implementing a date picker.
• Handling "Futures" in Flutter.
• Using a dropdown button for selections.

10. Validations & Error Handling

• Combining conditions with AND/OR operators.
• Validating user input and showing error dialogs.

11. Advanced UI Interactions

• Creating full-screen modals.
• Using Dismissible for list item removal.
• Implementing Snackbars for user feedback.

12. Theming & Material 3

• Setting up Material 3 design.
• Customizing the color scheme and text themes.
• Applying theme data in widgets.

13. Adding Dark Mode

• Implementing light & dark themes.

14. Dart Advanced Concepts

• Using for-in loops for iteration.
• Creating alternative constructors.
• Filtering lists dynamically.

1. Introduction to AI Chatbot Development

• Overview of AI-powered chatbots
• Understanding Generative AI and Large Language Models (LLMs)

2. Setting Up the Environment

• Installing Flutter and required dependencies
• Integrating the google_generative_ai package

3. Building the Chatbot UI

• Designing user-friendly chat interfaces with Flutter
• Using flutter_markdown for formatted responses

4. Implementing AI Responses

• Connecting to the google_generative_ai API
• Handling user queries and generating chatbot responses

5. Enhancing User Experience

• Adding animations with loading_animation_widget
• Optimizing chatbot performance and responsiveness

6. Testing and Deployment

• Debugging and improving chatbot responses
• Deploying the chatbot for real-world usage

An AI image generator uses machine learning models to create images based on textual descriptions or other input data.

The MERN stack consists of MongoDB (database), Express (backend framework), React (frontend framework), and Node.js (runtime environment).

The folder structure includes separate directories for backend (server), frontend (client), and shared components like utilities or assets.

Use npm to install dependencies like Express for the backend, and React along with MUI for the frontend.

Initialize a Git repository and commit your project to maintain version control and collaborate efficiently.

Set up Node.js and Express to create the backend API that communicates with MongoDB to store and retrieve data.

Obtain credentials for Unsplash API and Cloudinary, and securely store MongoDB credentials to access the services.

Implement API endpoints to interact with the image sources (Unsplash and Cloudinary), allowing image fetch and storage operations.

Use React for the frontend to display the images fetched/generated from the backend.

Set up the React project with MUI for styling and custom components to create a user-friendly interface.

Integrate the React frontend with the backend API to display the fetched or generated images.

Deploy the MERN application on a hosting platform like Heroku or Vercel, ensuring the backend and frontend work seamlessly.