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Updated in [February 21st, 2023]

What does this course tell?
(Please note that the following overview content is from the original platform)


Build 15+ Android & iOS Ai Apps - Flutter Mobile Machine Learning & Deep Learning Full Course 2021.
Install Flutter in Android Studio 2021 on Windows - Full Setup - Flutter 2.8 with Null Safety Course.
Setup Flutter and Visual Studio Code in Windows - Full Installation of Flutter on Windows in VsCode.
Flutter MacOS Catalina - Installation of Flutter and Setup on MAC - Flutter Tutorial 2020 - Dart SDK.
Flutter Android & iOS Deep Learning Machine Learning with TensorFlow Course - Cat & Dog Detector App.
Flutter Splash Screen - Cat Dog Classification TensorFlow Lite App || Machine Learning Mobile Course.
Mobile Machine Learning for Android & iOS TensorFlow Lite - Cat & Dog Classifier using Deep Learning.
Android & iOS Machine Learning Tutorial 2021- Mobile Deep Learning & Artificial Intelligence Course.
Download Trained Model for Cat vs Dog Detector App - Flutter Android & iOS Deep Learning Course 2021.
Flutter TensorFlow Lite Tutorial - Flutter iOS & Android Machine Learning Projects Full Course 2021.
Flutter TensorFlow Lite Android & iOS Tutorial 2021 - Mobile Deep Learning and Machine Learning 2021.
Finishing this App & Testing the App - Flutter TensorFlow Cat and Dog Classification App Course 2021.
Flutter iOS & Android Object Detection with TensorFlow Lite Deep Learning & Machine Learning Course.
Flutter Object Recognition App using TensorFlow Lite - Android & iOS Deep Learning Machine Learning.
Flutter Object Detection App - TensorFlow Lite Mobile Machine Learning & Deep Learning Course 2021.
TfLite Android & iOS Object Detection App - Flutter TensorFlow Lite Tutorial - Ai Deep Learning 2021.
Flutter Live Camera Tutorial - Android & iOS Object Detection App - TfLite Mobile Machine Learning.
Add & Load TfLite Model for Object Detection in Flutter Project - iOS & Android Deep Learning Course.
Run tfLite Model on Android & iOS Object Recognition App - Flutter Mobile Machine Learning Course.
Finish App & Testing App - Flutter Object Detection using TensorFlow Android & iOS App Tutorial 2021.
Flutter 2.8 Drawing to Real Life Generator - AI Android & iOS Machine Learning Final Year Projects.
Image to Text Converter App || OCR || Image Labeling - Flutter iOS & Android Machine Learning Course.
OCR Image to Text App - Flutter iOS & Android Mobile Machine Learning Deep Learning Project Course.
Flutter Firebase ML Kit | Google ML Vision Setup - Image to Text Converter App for Android & iOS.
Flutter Image Labeling App - Full Android & iOS Ai Mobile Machine Learning Deep Learning Course 2021.
Flutter Image Text Recognition App - Android & iOS Ai Mobile Machine Learning Deep Learning Course.
Finishing App & Testing App - Flutter Image Text Recognition Ai Mobile Machine Learning Course 2021.


We consider the value of this course from multiple aspects, and finally summarize it for you from three aspects: personal skills, career development, and further study:
(Kindly be aware that our content is optimized by AI tools while also undergoing moderation carefully from our editorial staff.)

This course provides a comprehensive guide to building 15+ Android & iOS apps using Flutter, a cross platform SDK. It covers the installation and setup of Flutter in Android Studio and Visual Studio Code (Windows and Mac OS Catalina). The apps to be built will use TensorFlow Lite for mobile deep learning and machine learning projects, like cat and dog detector, object recognition and image text recognition. It includes tutorials for firebase ML kit and Google ML Vision setup for image to text converter.

Possible Development Paths:
Completing this course can open up a variety of development paths for learners. Learners can use the skills acquired to develop mobile applications for Android and iOS platforms. They can also use the knowledge to develop machine learning and deep learning applications for mobile devices. Additionally, they can use the skills to develop applications for image recognition, object detection, and image to text conversion.

Learning Suggestions:
To get the most out of this course, learners should have a basic understanding of programming languages such as Java, Kotlin, and Swift. Additionally, they should have a basic understanding of machine learning and deep learning concepts. Learners should also be familiar with the basics of Flutter and Android Studio. To further enhance their knowledge, learners can explore related topics such as natural language processing, computer vision, and artificial intelligence.

[Applications]
Upon completion of the Flutter Android & iOS Ai Mobile Machine Learning Deep Learning Course 2021 - Build 16+ Artificial Intelligence Apps with TensorFlow Lite & ML Vision, participants will have the knowledge and skills to build 16+ Android & iOS apps using Flutter, TensorFlow Lite, and ML Vision. They will be able to apply their knowledge to create apps that can detect cats and dogs, recognize objects, and convert images to text. Additionally, they will be able to use Firebase ML Kit and Google ML Vision to set up image to text converters.

[Career Paths]
1. Mobile App Developer: Mobile app developers use Flutter to create apps for both Android and iOS platforms. They are responsible for designing, coding, testing, and debugging mobile applications. As the demand for mobile apps continues to grow, mobile app developers are in high demand.

2. Machine Learning Engineer: Machine learning engineers use Flutter to create machine learning models for mobile applications. They are responsible for designing, coding, testing, and debugging machine learning models. With the increasing demand for AI-powered applications, machine learning engineers are in high demand.

3. Artificial Intelligence Engineer: Artificial intelligence engineers use Flutter to create AI-powered applications. They are responsible for designing, coding, testing, and debugging AI-powered applications. With the increasing demand for AI-powered applications, AI engineers are in high demand.

4. Deep Learning Engineer: Deep learning engineers use Flutter to create deep learning models for mobile applications. They are responsible for designing, coding, testing, and debugging deep learning models. With the increasing demand for AI-powered applications, deep learning engineers are in high demand.