Android App Development with Google Machine Learning [2024]

Professional Android Apps with Machine Learning Using Google MLKit

5.00 (41 reviews)
Udemy
platform
Türkçe
language
Mobile Apps
category
Android App Development with Google Machine Learning [2024]
5,716
students
20 hours
content
Feb 2024
last update
$19.99
regular price

What you will learn

Android Programming with Machine Learning Using ML Kit

Ability to use different Android 3rd Party Libraries

Ability to use machine learning technology in Android applications

Reinforcement of Android development fundamentals

Developing apps that can be published on Google Play

Mobile application development with Kotlin and Java

Why take this course?

Program with Machine Learning Technology with Google ML Kit!


With the rapid development of mobile applications today, artificial intelligence and machine learning technologies have gained great importance. These technologies play an important role in providing users with a richer and smarter experience. This is where the Google ML Kit library comes into play. Google ML Kit is a powerful tool that provides a set of machine learning APIs that can be integrated into mobile apps.


In today's digital world, machine learning technologies have become increasingly prevalent across various industries and have revolutionized the way we interact with and analyze data. One area where machine learning has made significant advances is in computer vision, enabling powerful applications such as text recognition, face detection, pose detection, barcode scanning and object detection. These applications have found extensive use cases in areas such as retail, healthcare, logistics and more.

You can develop various projects using machine learning, which is seen as the technology of the future in the field of android, one of the most popular software fields in the world. You can make these developments with Google support. ML Kit is an SDK created by Google to enable the use of machine learning capabilities in mobile applications with a powerful and easy-to-implement package structure. While this SDK allows us to prepare various projects, on the other hand, we will make designs that will add a professional look to our programs and strengthen these designs with various libraries. On the other hand, android applications made with MLKit can be prepared in different ways that go to extremes with your imagination. These applications can make life easier for others in daily life or you will be able to update these applications to make your daily life easier.


In this comprehensive video tutorial, we explore the fascinating world of machine learning-powered computer vision applications using the Google ML Kit library. Developed by Google, ML Kit provides a user-friendly and accessible platform for implementing the latest machine learning technologies without the need for extensive knowledge of complex algorithms and models.


Throughout this toolkit, we will explore various practical applications of machine learning technologies using ML Kit. From recognizing and extracting text from images to detecting faces, identifying poses, scanning barcodes, and recognizing objects, we will cover a wide range of applications that demonstrate the power and versatility of ML Kit.


Machine Learning Based Applications with Libraries such as Various Camera, AlertDialog, Progress Bar that we will make in our course using Google MLKit and Firebase are as follows; Printing the text detected from the image received from the camera in our application, Detecting the faces in the received image and marking them in the way I want with the drawing classes we have determined, Drawing the real human body posture position in the image received from the camera or through the gallery on the body with the features we want with the drawing class we have determined, Android Applications that Print Arm and Knee Angles on the Body, Read Various Barcodes and React According to the Barcode Type and Notify the User When the Barcode is Not Found, Sort the Captured Image into Classes and Notify Us of the Probability of Belonging to the Classes and Track Objects


Instructor


Hello Dear,

I am Ibrahim Can Erdogan, graduated from Balikesir University Industrial Engineering Department in 2022. I develop advanced Android applications with Java and Kotlin. I continue my work in the Android field. I am also interested in Blockchain technology. I am currently developing Android applications with Kotlin. In my career, I have done internships in Turkey's leading companies such as Yapı Kredi, QNB Finansbank, Ebebek and LOGO Software. As a Software Development Specialist at LOGO Software, I contributed to the development of Android applications. I am currently working as an Android Software Development Specialist in ebebek. I am trying to learn new information and use what I have learned. With my determination and ambition, I always try to reach the better and always do my best.

Thank You


Reviews

Sunguroğlu
November 21, 2022
Bir çok kişinin arayıp da bulamadığı bir içerik olmuş. Bir çok uygulamayı yapılış aşaması ve incelemesiyle birlikte gayet faydalı bir içerik olmuş.
Ayşegül
April 7, 2021
Kurs gayet güzel sade bir dili var aktarılmak istenen bilgiyi rahatça alabiliyorsunuz . Teşekkürler ibrahim beycim...

Charts

Price

Android App Development with Google Machine Learning [2024] - Price chart

Rating

Android App Development with Google Machine Learning [2024] - Ratings chart

Enrollment distribution

Android App Development with Google Machine Learning [2024] - Distribution chart

Related Topics

3823516
udemy ID
2/3/2021
course created date
2/15/2021
course indexed date
Bot
course submited by