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Abraam Gotsiridze

This course is designed to provide you with a comprehensive understanding of Flutter, as well as the ability to incorporate Machine Learning into your projects. Throughout the course, you will gain knowledge in Object Detection, Text Detection, and more. We will utilize well-known tools such as ML models and OCR, ensuring that the content is presented in a manner that is easy for you to comprehend.

Enrolling in this course does not necessitate any special prerequisites. Familiarity with basic algorithms and computer operation is sufficient to begin your learning journey.

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This course is designed to provide you with a comprehensive understanding of Flutter, as well as the ability to incorporate Machine Learning into your projects. Throughout the course, you will gain knowledge in Object Detection, Text Detection, and more. We will utilize well-known tools such as ML models and OCR, ensuring that the content is presented in a manner that is easy for you to comprehend.

Enrolling in this course does not necessitate any special prerequisites. Familiarity with basic algorithms and computer operation is sufficient to begin your learning journey.

Before embarking on this zero-to-hero course, please ensure that you have:

  1. A computer equipped with a minimum of

  2. A notebook for taking notes.

  3. An interest in developing and creating your own applications.

Upon successfully completing this course and actively participating, you will possess the skills necessary to develop any application you desire. By harnessing the power of AI, you can enhance the professionalism of your applications, thereby increasing your income and chances for success in the modern world.

We look forward to welcoming you to this course, where you can witness firsthand the potential of Flutter and Machine Learning Models and Technology for Mobile.

Enroll now

What's inside

Learning objectives

  • You will be able to build any machine learning tool with flutter easily
  • You have to just trust the course and stick with me to see magic
  • You will be able to make money right after this course
  • I will show you the ways of making money with flutter online and easily

Syllabus

Introduction
Course Introduction
Understand Cross-platform concept and also know a little bit about Machine Learning

In this session, you will understand the key concepts of Cross-platform development

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In this session, you will learn what actually Flutter framework is and a little history about it.

In this session, we will compare Flutter with other Cross-platform development tools and will check the main reason that we have chosen Flutter.

In this session you will check the devices that Flutter is supporting

In this session, we will explore the Material Design system that Flutter is using.

Flutter is rendering it's applications with a Layout system and we will explore it in this session.

We will check the Flutter Demo application in this lecture.

In this session we will see Ai examples that we can implement in our mobile applications.

What is the main reason we have chosen Flutter as our cross-platform framework?

In this session, we will install Flutter sdk on our Mac machine

In this session we will install Flutter sdk on our Windows machine

In this session, we will install and configure Android Studio for our Flutter development journey.

In this session, we will install and configure Visual studio code for our Flutter app development.

In this session, we will check a Flutter application anatomy.

In this video, we will see what actually is variable and will check data types in Dart.

In this video, we will know what are naming conventions and check the naming rules.

In this session, we will learn how to use Math in Dart.

In this video, we will declare an Enum.

In this video, we will declare our first very own Lists and Maps.

In this video, we will see what actually is JSON type ?

In this session, we will check one of the most important things in Dart.

In this session, we will see howto Use conditional statements in our codes.

In this session, we will see how to use Loops in Dart.

In this video, we will declare our first function to do our jobs!

In this session, we will begin a so important concept and that is OOP.

In this session, we will check an important concept and that is Inheritance.

In this session, we will see what are mixins and how can we use them.

In this session, we will learn how to define and use extensions in Dart.

In this session, we will use Future type of functions to do not wait for execution.

In this session, we will declare Arrow functions that are so important.

Let's write some code with our knowledge.

In this session, we will wrap-Up Dart stuff.

In this session, we will see what we are going to learn in section 5 and Flutter.

In this lecture, we will configure our Android studio IDE to develop our Flutter applications easier.

Let's see Flutter Demo application.

Widgets are building blocks of each Flutter application and we will explore them in this lecture.

Context in Flutter framework is so important and we will see what is that in this lecture.

In this lecture, we will understand the parent and child concepts.

In this lecture, we will see how we can use Material App widget.

Let's see what is Scaffold widget in Flutter.

In this lecture, we will see what actually the state is.

In this lecture, we will check one of the most important widgets in Flutter.

Let's check Stateless widgets.

In this lecture, we will define Final and Constant variables.

In this lecture, we will access our Classes properties.

In this lecture, we will check the use case of Global variables in Flutter.

In this lecture, we will use Statefull widget state methods.

In this video, we will declare a Container widget.

In this lecture, we will Explore Margin and Padding concepts.

In this lecture, we will see how to use Column and Row widgets.

Spacing system in Column and Row widgets are so important so let's see how we can handle it.

In this video, we will see how to put spacing between our widgets.

In this lecture, we will use see how to use Text widget in Flutter.

In this lecture, we will interact with the user in our application.

In this lecture, we will declare textfields to get some input from users.

In this lecture, we are going to validate the text fields that we have defined.

In this lecture, we will use Icon and Image widgets to display some Images.

In this lecture, we will see how we can fit our images in our views.

In this lecture, we will use ListViews in order to display widgets together.

In this lecture, we will use Gridview widget to display gallery like widgets.

In this lecture, let's see how we can add scroll functionality to our views.

Let's declare our own first widget.

Let's navigate between our pages.

In this lecture, we will deep dive into application life cycle methods.

In this lecture, we will develop a signIn application with the Flutter framework.

In this lecture, we will wrap up section 5.

Let's begin state management.

In this lecture, we will see what are state management methods.

In this lecture, we will use Value Notifier as our state management method.

Let's use Provider state management method in this lecture.

In this Lecture, we are going to use Bloc as our state management method.

In this Lecture, we are going to build 8 ball app with Bloc.

In this Lecture, we will wrap-up the section.

Let's begin this section.

In this Lecture, we will see why do we need architecture patterns.

Let's see what is clean architecture and use it in the next lectures.

In this Lecture, we are going to build a Login application with the help of Clean Architecture.

Let's wrap-up this section.

Let's see what do we have in this section.

Let's see what actually are 3rd party packages.

In this Lecture, we will see how to install Pub.dev packages.

In this Lecture, we will install our first Pub.dev package.

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Covers cross-platform development concepts, which are essential for developers aiming to build applications for multiple operating systems using a single codebase
Explores Material Design, which is a design language developed by Google that provides a consistent look and feel across different platforms and devices
Requires a computer and notebook, which are standard for most software development courses, but may pose a barrier to entry for some learners
Teaches Dart language fundamentals, including variables, data types, naming conventions, math operations, enums, lists, maps, JSON, conditional statements, loops, and functions
Explores state management methods like Value Notifier, Provider, and Bloc, which are crucial for building complex and interactive Flutter applications
Introduces Clean Architecture, a software design pattern that promotes maintainability and testability, which is valuable for larger Flutter projects

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Reviews summary

Beginner flutter & ml integration guide

According to learners, this course provides a solid introduction to Flutter development, particularly useful for those new to the framework. Many appreciate the practical projects and hands-on coding exercises, which help solidify core concepts. While it aims to cover Machine Learning integration, some students found the ML sections to be less in-depth or potentially outdated compared to the Flutter content. The pace can be fast for absolute beginners, suggesting some prior programming familiarity might be beneficial despite the stated prerequisites. Overall, it's seen as a good starting point, though supplementary learning may be needed for a deeper dive into machine learning within Flutter.
Hands-on labs aid practical skill development.
"I really enjoyed building the practical applications shown in the lectures."
"The hands-on coding was the most valuable part, making theory concrete."
"Working on the projects helped me apply what I learned immediately."
"The examples were practical and demonstrated real-world use cases effectively."
Effectively introduces core Flutter concepts.
"This course gave me a great starting point for understanding Flutter and its widgets."
"I feel much more confident with Flutter basics after completing this course."
"The early sections clearly explain the fundamentals of building UI with Flutter."
"It's a solid introduction to cross-platform development using Flutter framework."
Setting up the development environment is tricky.
"I struggled significantly with getting the development environment set up correctly."
"The setup instructions didn't work perfectly on my specific system."
"Getting the project to run initially took a lot of troubleshooting."
"Setup was confusing and required external research to resolve."
Course pace may be too quick for some learners.
"Sometimes the instructor moves a bit too quickly, making it hard to keep up."
"I had to pause frequently to catch up, especially in later sections."
"As a complete beginner, I found the speed challenging at times."
"While concise, I felt some topics could benefit from a slightly slower pace."
Machine Learning integration needs more depth.
"The ML part felt a bit rushed and didn't go into as much detail as I hoped."
"I expected more comprehensive coverage of using ML models with Flutter."
"The machine learning sections felt like a brief overview rather than a deep dive."
"I will need to find other resources to truly understand ML implementation in Flutter."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Flutter with Machine Learning - 2024 Guide For Beginners with these activities:
Review Basic Dart Syntax
Reinforce your understanding of Dart syntax, which is essential for Flutter development. This will make learning Flutter concepts easier.
Browse courses on Dart
Show steps
  • Review Dart documentation on variables, data types, and control flow.
  • Complete online Dart tutorials or exercises.
  • Write small Dart programs to practice syntax.
Brush Up on Object-Oriented Programming (OOP) Concepts
Strengthen your understanding of OOP principles like classes, inheritance, and polymorphism. Dart and Flutter heavily rely on OOP.
Show steps
  • Review OOP concepts in Dart documentation or tutorials.
  • Practice creating classes and objects in Dart.
  • Explore inheritance and polymorphism through coding examples.
Review 'Machine Learning with Flutter'
Gain a deeper understanding of how to integrate machine learning models into Flutter applications. This book provides practical examples and guidance.
Show steps
  • Read the book's introduction and overview of Flutter and ML.
  • Study the chapters related to object detection and text recognition.
  • Experiment with the code examples provided in the book.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Implement Basic Flutter Widgets
Reinforce your understanding of fundamental Flutter widgets like Container, Row, Column, and Text. Practice using these widgets to build simple layouts.
Browse courses on Widgets
Show steps
  • Create a new Flutter project in Android Studio or VS Code.
  • Implement layouts using Container, Row, and Column widgets.
  • Add Text widgets to display information.
  • Experiment with different widget properties and styling.
Build a Simple 'Hello World' ML App
Apply your knowledge by creating a basic Flutter app that incorporates a simple machine learning model (e.g., image classification).
Browse courses on Machine Learning
Show steps
  • Choose a simple ML model (e.g., image classification with TensorFlow Lite).
  • Integrate the model into a Flutter app.
  • Design a user interface to interact with the model.
  • Test and refine the app's functionality.
Document Your Learning Journey
Solidify your understanding by documenting your learning process, challenges, and solutions. This can be in the form of a blog, journal, or portfolio.
Show steps
  • Create a blog or journal to record your learning experiences.
  • Document the concepts you've learned and the challenges you've faced.
  • Share your solutions and insights with others.
Review 'Flutter Complete Reference'
Deepen your understanding of Flutter concepts and widgets. This book provides a comprehensive reference for Flutter development.
Show steps
  • Explore the book's sections on state management and architecture patterns.
  • Study the chapters related to UI design and widget customization.
  • Refer to the book when encountering challenges in your Flutter projects.

Career center

Learners who complete Flutter with Machine Learning - 2024 Guide For Beginners will develop knowledge and skills that may be useful to these careers:
Mobile Application Developer
A Mobile Application Developer designs, develops, and maintains applications for mobile devices. This course is directly applicable to this career, as it provides a comprehensive understanding of the Flutter framework, a popular choice for cross-platform mobile development, and it also shows how to incorporate machine learning capabilities into mobile applications. With the knowledge of Flutter and machine learning models taught in this course, a Mobile Application Developer can build sophisticated and professional mobile apps with features such as object and text detection. The course focuses on practical skills using tools like ML models and OCR, essential for a modern app developer.
Flutter Developer
A Flutter Developer specializes in building applications using the Flutter framework. This course is ideal for anyone wanting to become a Flutter developer since it includes a comprehensive introduction to Flutter and its core concepts. The course covers everything from setting up the development environment to using Dart programming and building user interfaces. A Flutter Developer will use this course to understand state management, architecture patterns and third-party packages, as well as to learn how to add machine learning features. By learning Flutter and machine learning together in this course, a Flutter Developer can build full featured, modern mobile applications.
Independent App Developer
An Independent App Developer creates and publishes their own applications, often with an entrepreneurial focus. This course is an ideal jumping-off point. The course provides the necessary technical skills to develop mobile apps using Flutter and integrate machine learning. With knowledge of Flutter, Dart and machine learning models, an Independent App Developer can create their own apps for mobile devices. Furthermore, the course's focus on practical aspects and tools like ML models and OCR is highly relevant to creating revenue-generating applications. By completing this course, an Independent App Developer will gain the skills necessary to succeed.
Cross Platform Application Developer
A Cross Platform Application Developer creates applications that can run on multiple operating systems including iOS and Android. This course is highly suitable for anyone wanting to be a cross platform application developer because it focuses on Flutter, a popular framework for cross-platform development. The course covers core concepts of cross platform development, compares Flutter with other tools and helps in setting up a development environment. This course enables a Cross Platform Application Developer to build applications using Dart and Flutter, as well as integrate machine learning. The course's focus on object and text detection adds a practical machine learning component.
AI Application Developer
An AI Application Developer creates applications that use artificial intelligence. This course will be directly useful to an AI Application Developer, since it focuses on the integration of machine learning into mobile app development. In this course, an AI Application Developer will learn the key concepts of the Flutter framework, and how to use ML models and OCR to implement features, such as object and text detection. By focusing on practical integration of machine learning in mobile applications using Flutter, this course will provide the AI Application Developer with the knowledge and skills for their career.
Application Prototyper
An Application Prototyper creates early-stage models of applications to test feasibility and user experience. This course empowers an Application Prototyper with the skills to create mobile app prototypes using Flutter. The course covers how to use Flutter widgets, build user interfaces, integrate machine learning features and use Dart, all of which are essential skills for an Application Prototyper. The ability to quickly build prototypes with machine learning capabilities using object and text detection, in particular, makes this course highly useful. By learning Flutter and mobile machine learning, an Application Prototyper can rapidly bring their ideas to life.
Technology Instructor
A Technology Instructor teaches technical skills to students or professionals. This course provides a strong foundation for a Technology Instructor who wishes to teach mobile development using Flutter and machine learning. The instructor will learn how to use the Flutter framework, machine learning tools such as object and text detection as well as how to use Dart for development. A Technology Instructor must be familiar with teaching the practical aspects of these technologies. This course gives instructors the tools to do just that as it touches on the practical aspects of mobile development, allowing instructors to pass on technical knowledge effectively.
Front-End Developer
A Front End Developer is responsible for the user interface and experience of applications. This course may be helpful for a Front End Developer interested in mobile development with Flutter. The course covers Flutter's layout system, widgets, and user interactions as well as how to handle state. This knowledge is essential when building mobile user interfaces. Through this course, a Front End Developer can learn how to apply their front end skills to mobile application development, using Flutter. The course's focus on material design is relevant to developing visually appealing interfaces.
Machine Learning Engineer
A Machine Learning Engineer focuses on building and deploying machine learning models and systems. This course will help a Machine Learning Engineer by showcasing how to integrate machine learning models into mobile applications using Flutter. The course covers specific machine learning techniques, like object and text detection, using popular tools like ML models and OCR. This practical approach to machine learning in a mobile context is valuable for a Machine Learning Engineer who wants to broaden their skills into mobile deployment. By taking this course, a Machine Learning Engineer will gain hands-on experience in using Flutter and implementing machine learning in a real-world setting, which will help them in their career.
Software Engineer
A Software Engineer designs, develops, and maintains software systems. This course may be useful to a Software Engineer who wants to develop mobile applications. The course introduces Flutter for cross-platform development and covers how to implement machine learning in mobile apps - an increasingly relevant skill set for a Software Engineer. By taking this course, a Software Engineer can expand their skills to include creating mobile apps with features such as object and text detection, using a framework like Flutter. This course will enable a Software Engineer to learn more about mobile development, which could prove useful in their career.
Mobile Application Architect
A Mobile Application Architect is responsible for the high-level design of mobile applications, considering scalability and performance. This course helps a Mobile Application Architect understand the practical aspects of using Flutter for building cross-platform applications and integrating machine learning features. The course delves into architecture patterns and state management techniques within Flutter, which are crucial for designing robust mobile applications. By examining the details, a Mobile Application Architect gains a deeper understanding of how to build mobile apps using Flutter and add features such as object and text detection, as well as understand system limitations. The course's focus on real-world applications and specific tech makes it valuable for a mobile architect.
Full-Stack Developer
A Full Stack Developer works on both the front-end and back-end aspects of applications and systems. This course may help a Full Stack Developer who wishes to expand their skill set to include mobile development. The course covers Flutter, a framework for building cross-platform mobile applications, as well as integrating machine learning features such as object and text detection. By taking this course, a Full Stack Developer will learn how to build mobile apps with Flutter using tools like ML models and OCR. By learning the Dart language and Flutter framework, this course helps build the skills required to be a Full Stack Developer.
Software Development Consultant
A Software Development Consultant advises clients on software development practices and technologies. This course may be beneficial for a consultant who wants to expand their knowledge in mobile development. By learning Flutter and machine learning, a Software Development Consultant can provide clients with updated and relevant advice. This course offers practical skills in building cross platform mobile applications in Flutter, including integrating machine learning models for features like object and text detection. By completing this course, a Software Development Consultant will broaden their technical skill set, specifically in mobile app development.
Mobile Game Developer
A Mobile Game Developer creates games for mobile devices. This course may be useful for a Mobile Game Developer who wants to leverage Flutter and machine learning. The course teaches the fundamentals of building cross-platform applications using Flutter, which can be used to create the basic UI for a game. The course also shows ways to incorporate machine learning - this ability may be useful for game features. A Mobile Game Developer can use this course to learn how to use Flutter and the Dart programming language to build out parts of a mobile game. Furthermore, they will be able to explore innovative game features using the machine learning concepts introduced in this course.
Technology Project Manager
A Technology Project Manager oversees the planning, execution, and delivery of technology-related projects, including software and application development. This course may be useful to a Technology Project Manager who wants a deeper understanding of the technical aspects of mobile development. Learning the basics of Flutter, the Dart language, and the concepts around integrating machine learning into applications can help a Technology Project Manager more effectively manage mobile development projects. Understanding the time and resources required for building mobile applications, as well as using machine learning models, enables better project management.

Reading list

We've selected two books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Flutter with Machine Learning - 2024 Guide For Beginners.
Provides a practical guide to integrating machine learning models into Flutter applications. It covers various ML techniques and demonstrates how to implement them using Flutter. This book is particularly useful for understanding how to bridge the gap between ML concepts and mobile app development. It serves as a valuable reference throughout the course and beyond.
Serves as a comprehensive guide to Flutter development, covering a wide range of topics from basic widgets to advanced state management techniques. It provides detailed explanations and practical examples to help you master Flutter. This book is particularly useful as a reference for specific Flutter concepts and widgets. It is commonly used by both beginners and experienced Flutter developers.

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