Android apps with artificial Intelligence
- Development
- Feb 24, 2025

Android apps with artificial Intelligence, available at Free, has an average rating of 4.1, with 8 lectures, 6 quizzes, based on 18 reviews, and has 4648 subscribers.
Free Enroll NowYou will learn about You will learn the basics of building machine learning models You will learn the basics of Android Studio and how to use it in building applications You will learn the basics of the Kotlin and python languages You will learn about MLkit library and how do you use it to build AI apps This course is ideal for individuals who are For all developers who want to put AI into their apps It is particularly useful for For all developers who want to put AI into their apps.
Enroll now: Android apps with artificial Intelligence
Summary
Title: Android apps with artificial Intelligence
Price: Free
Average Rating: 4.1
Number of Lectures: 8
Number of Quizzes: 6
Number of Published Lectures: 8
Number of Published Quizzes: 6
Number of Curriculum Items: 14
Number of Published Curriculum Objects: 14
Original Price: Free
Quality Status: approved
Status: Live
What You Will Learn
Who Should Attend
Target Audiences
In this course, you will learn how to build Android applications and also learn about MLkit to use artificial intelligen in your application . Here we will make three applications , all of which use mlkit . You do not need strong experience in programming or artificial intelligence and machine learning , just a simple experience where we will explain from scratch . In each section you will find its own code . The most important thing is that you apply every example we take in practice to do this, you must download the Android studio program In the course, we will talk a little about Python and how to train models after that we will use Android studio to build applications . we will use kotlin to build these applications . We will also learn how to design the user interface to our app . The first application will be about classifying the state of the eye, whether it is closed or open the second application will be about how to identify the contents of images the last application will be about identifying objects in any imageEach one of these applications will teach you a lot of things and techniques that you can use elsewhere, for example uploading images or taking photos, in addition to learning the mlkit library.
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction about machine learning
Chapter 2: Solve handwritten digits classification task using ML
Lecture 1: Build and train your model
Chapter 3: Building your first app
Lecture 1: Building Eye state classification app
Chapter 4: Building your second app
Lecture 1: Building image labeling application
Chapter 5: Building your third app
Lecture 1: Introduction about object detection
Lecture 2: upload images & take a photo using your camera
Lecture 3: building object detection app
Lecture 4: Object detection & image labeling
Instructors

Riad Almadani
Machine Learning Engineer
Rating Distribution
Frequently Asked Questions
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