Android apps with artificial Intelligence

Introduction

In this course, you will learn how to build Android applications and also learn about MLkit to use artificial intelligence in your application. It offers a practical path to integrating AI features into mobile apps, focusing on hands-on application through building example projects. You do not need strong experience in programming or artificial intelligence and machine learning, just a simple experience where we will explain from scratch.

Understanding the Basics of AI in Android

You will begin by learning the basics of building machine learning models. This section provides the foundational understanding needed to integrate AI effectively into your Android development workflow.

Key Skills and Libraries for AI Apps

This course dives into the practical skills and tools necessary for building Android applications with AI features.

Some highlights of what you’ll learn:

• 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 relevant to the course.
• You will learn about the MLkit library and how do you use it to build AI apps.
• We will talk a little about Python and how to train models.
• We will use Kotlin to build these applications.
• We will also learn how to design the user interface for our apps.

The course focuses on using MLkit through building three specific applications:

• 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 image.

Each 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.

Requirements and Course Approach

What makes this course unique is its practical, project-based approach, starting from scratch and providing code for each section. The most important thing is that you apply every example we take in practice.

• Requirements: You need to download the Android Studio program. It would be good if you have a little experience in any programming language.
• In each section you will find its own code.
• The course emphasizes hands-on application.

Who This Course Is For:

This course is designed for:

• All developers who want to put AI into their apps.

Final Thoughts

Integrating artificial intelligence into your Android applications is a powerful way to enhance functionality. With this course, you’ll gain the foundational knowledge and practical skills using tools like Android Studio, Kotlin, and especially MLkit to build intelligent features into your apps. By building real-world examples, you’ll be equipped to apply these techniques elsewhere and confidently develop Android apps with AI capabilities.