TensorFlow-Powered Android App Development with Machine Learning

The "TensorFlow-Powered Android App Development with Machine Learning" course is designed to provide learners with the knowledge and skills to develop Android applications that leverage the power of TensorFlow and machine learning. This course is suitable for individuals who already have a basic understanding of Android Studio and Kotlin programming.

The course begins with a brief review of Android Studio and Kotlin, ensuring participants have a solid foundation to build upon. From there, learners will delve into the world of machine learning with TensorFlow. They will explore linear regression, a fundamental machine learning algorithm, and learn how to implement it from scratch using Python.

Next, participants will shift their focus to building a linear regression model using TensorFlow Lite, a lightweight version of TensorFlow optimized for mobile and embedded devices. They will gain hands-on experience in training and deploying a TensorFlow model and learn how to convert it to a format compatible with Android.

The course then transitions into Android app development, where learners will combine their knowledge of TensorFlow and Kotlin to build a machine learning-powered Android application. They will learn how to load the pre-trained TensorFlow model into their Android app and use it to make predictions or perform specific tasks.

Throughout the course, participants will be guided through practical exercises and projects that reinforce their understanding of TensorFlow, machine learning, and Android app development. They will also learn best practices for model optimization and performance considerations to ensure their apps run smoothly on Android devices.

By the end of the course, learners will have gained the necessary skills to develop Android applications that incorporate machine learning capabilities powered by TensorFlow. They will understand how to integrate pre-trained models into their apps and leverage the power of machine learning to create intelligent and interactive user experiences. This course opens up opportunities for individuals to create innovative Android apps that make predictions, perform complex tasks, and provide personalized experiences to users.

Your Instructor

Alexandra Kropf
Alexandra Kropf

Alexandra Kropf is Mammoth Interactive's CLO and a software developer with extensive experience in full-stack web development, app development and game development. She has helped produce courses for Mammoth Interactive since 2016, including the Coding Interview series in Java, JavaScript, C++, C#, Python and Swift.

Mammoth Interactive is a leading online course provider in everything from learning to code to becoming a YouTube star. Mammoth Interactive courses have been featured on Harvardโ€™s edX, Business Insider and more.

Over 12 years, Mammoth Interactive has built a global student community with 4 million courses sold. Mammoth Interactive has released over 350 courses and 3,500 hours of video content.

Founder and CEO John Bura has been programming since 1997 and teaching since 2002. John has created top-selling applications for iOS, Xbox and more. John also runs SaaS company Devonian Apps, building efficiency-minded software for technology workers like you.

Course Curriculum

  Linear regression from scratch
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days after you enroll
  Build a linear regression model with Python for TF Lite
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days after you enroll
  Build an Android app with TensorFlow machine learning model
Available in days
days after you enroll

Frequently Asked Questions

When does the course start and finish?
The course starts now and never ends! It is a completely self-paced online course - you decide when you start and when you finish.
How long do I have access to the course?
How does lifetime access sound? After enrolling, you have unlimited access to this course for as long as you like - across any and all devices you own.
What if I am unhappy with the course?
We would never want you to be unhappy! If you are unsatisfied with your purchase, contact us in the first 30 days and we will give you a full refund.

Get started now!