What you'll learn :
The Complete 2021 Android Machine Learning Course
Learn use of machine learning and computer vision models in Android to build beautiful real world smart android applications
Learn to train Image Recognition models without knowing any background knowledge of machine learning
Use computer vision models in Android with Images and Live Camera Footage
Use of Tensorflow lite models in Android Applications
Learn how to use of Tensorflow lite delegates to improve model performance
Use of Floating point and quantized models in Android
Build Cam Scanner clone
Add smart reply, selfie segmentation, text translation, face detection, text recognition, pose estimation in Android
Use of Firebase ML Kit in Android and the Features it Provides
Build live feed image classification and object detection applications
Recognize hand written text in Android using Digital Ink Recognition
20+ Machine Learning based Android Application
Basic Knowledge of App development in Android using either Java or Kotlin
Welcome to The Complete 2021 Android Machine Learning Course.
In this course, you will learn the use of Machine learning in Android along with training your own image recognition models for Android applications without knowing any background knowledge of machine learning. The course is designed in such a manner that you don’t need any prior knowledge of machine learning to it.
In modern world app development, the use of ML in mobile app development is compulsory. We hardly see an application in which ML is not being used. So it’s important to learn how we can integrate ML models inside Android applications. And this course will teach you that. And the main feature of this is you don’t need to know any background knowledge of ML to integrate it inside your Android applications.
The course is divided into four main parts.
Image and live camera footage
Pre-Trained Tensorflow Lite models use in Android
Firebase ML Kit use in Android
Training Image Classification models for Android
1: Images and live camera footage
So in the first section, you will learn to handle both images and live camera footage in Android so that later we can use them with machine learning models. So, in that section, we will learn to
Choose images from the gallery in Android
Capture images using the camera in Android
Displaying live camera footage in Android applications using camera2 API
Accessing frames of live camera footage in Android
2: Pre-Trained Tensorflow Lite
So, after learning the use of images and live camera footage in Android in this section we will learn the use of popular pre-trained machine learning models in Android and build
Image classification (Both with images and live camera footage)
Object detection (Both with images and live camera footage)
3: Quantization and Delegates
Apart from that, we will cover all the important concepts related to Tensorflow lite like
Using floating-point and quantized model in Android
Use the use of Tensorflow lite Delegates to improve model performance
4: Regression In Android
After that, we will learn to use regression models in Android and build a couple of applications including a
Fuel Efficiency Predictor for Vehicles.
5: Firebase ML Kit
Then the next section is related to the Firebase ML Kit. In this section, we will explore
Firebase ML Kit
Features of Firebase ML Kit
Then we are going to explore those features and build a number of applications including
Image Labeling Android to recognize different things
Barcode Scanning Android to scan barcodes and QR codes
Pose Estimation Android to detect human body joints
Selfie Segmentation Android to separate the background from the foreground
Digital Ink Recognition Android to recognize handwritten text
Object Detection Android to detect and track objects
Text Recognition Android to recognize text in images
Smart Reply Android to add auto reply suggestion
Text Translation Android to translate between different languages
Face Detection Android to detect faces, facial landmarks, and facial expressions
Apart from all these applications, we will be developing a clone of the famous document scanning application CamScanner. So in that application, we will auto crop the document images using text recognition and improve the visibility of document Images.
6: Training Image Classification Models
After mastering the use of ML Models in Android in the Third section we will learn to train our own Image Classification models without knowing any background knowledge of Machine learning.
So in that section, we will learn to train ML models using two different approaches.
Dog breed Recognition using Teachable Machine
Firstly we will train a dog breed recognition model using a teachable machine.
Build a Live Feed Dog Breed Recognition Android Application.
Fruit Recognition using Transfer Learning
Using transfer learning we will retrain the MobileNet model to recognize different fruits.
Build a live feed fruit recognition Android application using that trained model
Images and Live Camera Footage
The course will teach you to use Machine learning models with images and live camera footage, So that, you can build both simple and live feed Android applications.
The course is completely up to date and we have used the latest Android 11 throughout the course.
The course is developed using both Java and Kotlin programming languages. So all the material is available in both languages.
These are tools we will be using throughout the course
Android Studio to develop Android Applications
Google collab to train Image Recognition models.
Netron to analyze mobile machine learning models
By the end of this course, you will be able
Use Firebase ML kit inside Android applications using both Java and Kotlin
Use pre-trained Tensorflow lite models inside Android & IOS applications using Java and Kotlin
Train your own Image classification models and build Android applications.
You’ll also have a portfolio of over 20+ machine learning-based Android applications that you can show to any potential employer.
This is the course for you if
You want to make smart Android apps
You are interested in becoming a modern-day Android developer, a freelancer, launching your own projects, or just want to try your hand at making real smart mobile apps
No prior programming experience, or some but from a different language/platform
You want a course that teaches you the use of machine learning and computer vision in Android app development, in an integrated curriculum that will give you a deep understanding of all the key concepts an Android developer needs to know to have a successful career
Who can take this course:
Beginner Android ( Java or Kotlin ) developer with very little knowledge of Android app development.
Intermediate Android ( Java or Kotlin ) developer wanted to build a powerful Machine Learning-based application in Android
Experienced Android ( Java or Kotlin ) developers wanted to use Machine Learning models inside their Android applications.
Anyone who took a basic Android ( Java or Kotlin ) mobile app development course before (like Android ( Java or Kotlin ) app development course by angela yu or other such courses).
Unlike any other Android app development course, The course will teach you what matters the most.
So what are you waiting for? Click on the Join button and start learning.
Who this course is for :
Beginner Android Developer curious about Machine learning and computer vision use in Android
Intermediate Android developers looking to enhance their skillset
Experienced professionals want to integrate Machine Learning in their Android Applications
Last updated 8/2021
Course Size Details :
21 hours on-demand video
7 downloadable resources
Full lifetime access
Access on mobile and TV
Certificate of completion
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