Udemy – Flutter Artificial Intelligence Course – Build 15+ AI Apps 2021-2

Published on: 2022-02-10 21:38:36

Categories: 28

Description

Flutter Artificial Intelligence Course – Build 15+ AI Apps is a project-based training course on the application of artificial intelligence and machine learning in Flutter applications, published by Udemy. Flutter is a powerful cross-platform application development framework released in 2015. Flutter allows developers to output a specific codec for different operating systems and platforms and publish their applications on Windows, Linux, Android and even unlimited web space. The advent of new technologies such as machine learning, deep learning and artificial intelligence has also revolutionized the Android application development space, with new libraries and frameworks such as TensorFlow Lite allowing developers to learn from machine-based techniques and systems. Use artificial intelligence in mobile applications to create new experiences for their users.

During this training course, you will participate in the process of designing and developing 15 different apps and you will learn valuable skills. TensorFlow Lite is a free, open source learning framework that can add new capabilities to Android applications. TensorFlow Lite includes a suite of tools and application modules that allow developers to apply learning models to mobile applications, IoT-based devices, embedded systems, and more. The Firebase machine learning kit is also a reliable replacement for the library and you will use it to develop three different projects. Deep learning is one of the unique functions of artificial intelligence that limits the activity of the brain and human intelligence in the data processing process and can be used in object recognition, face recognition, image classification, translation, machine decisions and ….

What you will learn in Flutter Artificial Intelligence Course – Build 15+ AI Apps

Design and implementation of techniques and systems based on artificial intelligence and deep learning in mobile applications
Different models of machine learning
Principles and foundations of artificial intelligence and various branches of this field
Turn ideas based on artificial intelligence into the ultimate Android and iOS app
Implement natural language processing (NLP) algorithms in mobile apps
Implementation of torsional neural network (CNN) in mobile apps
Optical Character Recognition
Familiarity with different types of artificial neural networks and the application of each