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Welcome to The Complete 2021 Android Machine Learning Course.

In this course, you will learn the use of Machine learning in Android without knowing any background knowledge of machine learning.

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 application.

The course is divided into three main parts.

Pre-Trained Tensorflow Lite
Firebase ML Kit
Training Image Classification models

Pre-Trained Tensorflow Lite

In the first section, you will learn the use of popular pre-trained machine learning models in Android and build

Image classification
Object detection
Image segmentation

applications

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

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.

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
Barcode Scanning
Pose Estimation
Selfie Segmentation
Digital Ink Recognition
Object Detection
Text Recognition
Smart Reply
Text Translation
Face Detection

CamScanner Clone

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.

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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

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.

Hamza Asif

Mobile ML Instructor - Flutter Developer

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