This translated training course in the field of Flutter Artificial Intelligence will teach you to design and implement technologies, and systems based on artificial intelligence, and deep learning in mobile applications.
As will create more than 15 applications of artificial intelligence, and you will also learn the principles, and foundations of artificial intelligence. And its various branches, as well as transforming ideas based on artificial intelligence to final Android and iOS applications.
implementation of natural language processing (NLP) algorithms in mobile applications, implementation of convolutional neural network (CNN) for mobile application development, understanding the different types of neural networks and how you can use them, creating different models of machine learning
A comprehensive description of the programming language Flutter Artificial Intelligence Course – Build 15+ AI Apps
What is the programming language Flutter?
Flutter is not a programming language
Flutter is not actually a programming language but rather a UI (User Interface) software development kit (SDK) that is used for building cross-platform applications. It was developed by Google and released in May 2017 [3]. Flutter allows developers to create native applications for various platforms, including web browsers, Fuchsia, Android, iOS, Linux, macOS, and Windows [3].
build applications using Flutter
To build applications using Flutter, developers use the Dart programming language. Dart is an object-oriented, multi-paradigm language developed by Google. It supports functional, imperative, object-oriented, and reflective programming styles [9]. Flutter is built on top of Dart and provides a set of pre-designed widgets and tools that make it easier to create visually appealing user interfaces [3].
main advantages of Flutter
One of the main advantages of Flutter is that it allows developers to write code once and deploy it on multiple platforms. This means that a single codebase can be used to create applications for Android, iOS, web, desktop, and other platforms supported by Flutter [1][3]. Flutter offers a fast development cycle with features like Hot Reload, which allows developers to see the changes made in the code immediately without restarting the application [1].
Flutter popularity
Flutter has gained popularity among developers due to its performance, flexibility, and extensive community support. It provides a comprehensive developer experience with automated testing and tooling [1]. Flutter’s UI is built using a reactive framework, which means that the UI automatically updates when the underlying data changes. This helps in creating responsive and interactive applications [3].
learn Flutter
To learn Flutter, there are various resources available. The official Flutter website (flutter. dev) provides documentation, videos, code labs, and learning paths for beginners and professionals [2]. There are also tutorials and articles available on platforms like GeeksforGeeks and FreeCodeCamp that can help developers get started with Flutter. Additionally, Google for Developers offers resources and pathways to learn Flutter [4].
Flutter is a UI software development kit (SDK)
In summary, Flutter is a UI software development kit (SDK) developed by Google that allows developers to create cross-platform applications using the Dart programming language. It provides a fast development cycle, extensive community support, and a wide range of resources for learning and development.
Course Features Flutter Artificial Intelligence Course – Build 15+ AI Apps
The Flutter AI course is a project-based course on applying AI and machine learning in Flutter apps, published by Udemy. Flutter is a powerful cross-platform application development framework released in 2015. In this course, you will learn to build 15+ free AI applications with paid course download from Drive.
learn machine learning and deep learning in Flutter
You will learn machine learning and deep learning in Flutter Android and iOS using TensorFlow Lite. This is a complete step-by-step course. At the end of this course, you will be able to build your own Ai, Deep Learning, and Machine Learning applications for Android smartphones and iOS [iPhones] using Flutter SDK with TensorFlow Lite.
Deep learning is an artificial intelligence function that simulates the work of the human brain in processing data for use in object discovery, speech recognition, language translation, and decision-making. Deep learning AI is able to learn without human supervision, drawing on unstructured and unlabeled data.
Flutter allows developers to port out a specific codec for different operating systems and platforms and publish their apps to Windows, Linux, Android, and even unlimited web space.
The latest emergence of new technologies such as learning Machine learning, deep learning, and artificial intelligence revolutionize the Android app development space, with new libraries and frameworks like TensorFlow Lite allowing developers to learn from machine-based technologies and systems.
artificial intelligence in mobile apps
Use artificial intelligence in mobile apps to create new experiences for their users. The Machine Learning Suite for Firebase is also a reliable library alternative and you will use it to develop three different projects.
Deep learning is one of the unique functions of artificial intelligence that limits human brain activity and intelligence in the process of data processing and can be used in object recognition, face recognition, image classification, translation, machine decisions, and so on.
During this course, you will be involved in the design and development process of 15 different applications and learn valuable skills. TensorFlow Lite is a free, open-source educational framework that can add new capabilities to Android applications.
TensorFlow Lite includes a set of tools and application modules that allow developers to apply learning models to mobile applications, IoT-based devices, embedded systems, and more.
What will this Flutter Artificial Intelligence Course teach you?
- You will learn and make 15+ AI applications.
- Skills and techniques to develop any AI idea into a mobile application.
- Implementation of a natural language processing (NLP) algorithm for mobile application development.
- Implementation of a convolutional neural network (CNN) for mobile application development.
- Understand the different types of neural networks and how you can use them.
- You will learn how to build your own AI applications with Flutter (Android + iOS) using TensorFlow Lite.
- We will develop more than 15 AI applications with Flutter using Machine Learning and TensorFlow deep learning concepts.
- You will also learn how to train a model/machine for your applications. And how to import and use these trained models after training in the Flutter app (android + iOS app).
Specifications for this course Flutter Artificial Intelligence Course
- Publisher: Udemy
- Coach: Coding Cafe
- English language
- Translation: English and Arabic
- Education level: basic to advanced
- Number of lessons: 95
- Duration of the course: 8 hours and 55 minutes
Course contents:
Flutter Artificial Intelligence Course Download Link -Build 15+ AI Apps
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