Mobile Machine Learning: The Complete Masterclass (50 Hours)

​ Build projects and apps driven by machine learning for Android™ and iOS in this massive online course

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This 50-hour masterclass is perfect for iOS and Android developers of all levels who want to learn how to integrate machine learning into app development.

You’ll learn how to leverage powerful machine learning tools to help your apps stand out in the increasingly competitive markets of the App Store and Google Play.

If you work for an app development company as a software engineer, machine learning is the number one skill to learn to get a promotion.

This course will show you how to build practical projects so that you can show proof of your machine learning skills, rather than talking about theory. No stress, just projects.

This course gives a full introduction to app development for iOS and Android before implementing machine learning, so it is 100% beginner-friendly.

In the curriculum: Learn Android Neural Networks, Keras, Python, Java, PyCharm, Android Studio, TensorFlow and Unity Machine Learning. You will explore neural networks, deep learning and artificial intelligence.

Machine learning + apps = one happy developer.

Build projects and apps driven by machine learning for Android™ and iOS in this 50-hour online course bundle. Learn Android Neural Networks, Keras, Python, Java, Swift, PyCharm, Android Studio, Xcode, TensorFlow and Unity Machine Learning. You will explore machine learning, neural networks, deep learning, and artificial intelligence.



Level 1: Introduction to Machine Learning and Software
Level 2: Machine Learning in Android Studio Projects
Level 3: Build Image Recognition Apps
Level 4: Image Analysis with Keras
Level 5: Increase Efficiency of Machine Learning Models
BONUS 1: Learn Unity AI by Making a Tank Game
BONUS 2: Make a Starship Unity Game Powered by Artificial Intelligence
BONUS 3: The Secret to Smoother Gameplay with Unity AI

BONUS 4: Unity Machine Learning with Python

 
We from Mammoth Interactive are here to tell you that your Android and iOS apps can become smarter, stronger and more convenient thanks to machine learning. Better yet, we’ll show you how to build your very own intelligent software that grows with you.
 

Sneak Peek

Preview a lecture, Project Demo of Stock Market Prediction, in full for free right now!


WHO SHOULD ENROLL?

Anyone who wants to learn to code in Python, Java and Swift.
Anyone who wants to use machine learning in a mobile environment.
Anyone who wants to build, train, and test machine learning models.
Anyone who wants tools to work in the future of the world around us as artificial intelligence becomes more prevalent in everything we do.

No Experience Required

We design our tutorials for people with NO EXPERIENCE. In a Mammoth Interactive curriculum, you get as much useful information as possible from every minute. No longer do you need to spend time putting together knowledge from YouTube videos. We've curated what you need to know.



Learn At Your Own Pace

What's great about online learning is that there are no deadlines or stress. You can speed up or slow down videos. Completing a project takes a lot of work and time, and with Mobile Machine Learning, you can work at your own pace.

Coding bootcamps don't work for everyone. Why spend money when you can make money? Save thousands of dollars, and make thousands of your own.

 

COURSE BREAKDOWN

Mobile Machine Learning: The Complete Masterclass

Level 1: Introduction to Machine Learning and Softwaree

We'll give you all necessary information to succeed from newbie to pro.

You will install PyCharm 2017.2 and explore the interface.

You will learn crucial Python 3.6 language fundamentals. Even if you have coding knowledge, going back to the basics is the key to success as a programmer.

Then we will install Android Studio 3 and explore the interface.

You will learn how to add a simulator and build simple User Interfaces (UIs).

For coding, you will learn Java 8 language fundamentals.

You will build and run Android projects directly in the course.

Level 2: Machine Learning in Android Studio Projects

Discover applications of machine learning and where we use machine learning daily.

Explore different machine learning mechanisms and commonly used algorithms.

Follow along to build a complete computational model. You'll train and test a model and use it for future predictions.

Build a linear regression model to fit a line through data. You'll be able to train, test, evaluate, and predict.

Level 3: Build Image Recognition Apps

Optimize for intelligent apps: discover the TensorFlow mobile framework and build scientific analysis apps.

You'll learn how to use the Android neural network (ANN) API.

You'll build stock market prediction, weather prediction and text response projects.

Level 4: Image Analysis with Keras

Give your apps the power to recognize and classify images using the Keras framework.

You'll learn how to use the powerful Keras library.

You'll build a simple image recognition project using the CIFAR-10 library.

Build apps with facial recognition and happy/sad face detection

Level 5: Increase Efficiency of Machine Learning Models

Build apps like the pros: explore pre-built models and sneak a peek at TensorFlow Lite.

You'll build machine learning models to classify images AND text.

You'll also be able to summarize text.

Gain unique skills to build apps that perform object localization.

BONUS 1: Learn Unity AI by Making a Tank Game

Use the A* algorithm to make a 2D game in Unity. Use a pathfinding algorithm to build a game that uses artificial intelligence.

Learn to code for game development in Unity C#.

BONUS 2: Make a Starship Unity Game Powered by Artificial Intelligence

Mine a unique world using NavMesh artificial intelligence.

Make a 3D pathfinding game with C#.

BONUS 3: The Secret to Smoother Gameplay with Unity AI

Implement realistic agent movement while making a 2D Unity game!

In this course you will learn one of many aspects of artificial intelligence.

BONUS 4: Unity Machine Learning with Python

Teach a sled controlled by artificial intelligence to catch falling Christmas presents!

Teach the computer to recognize the present’s location.

While making a simple scene, we will learn many settings and adjust programs.

Your Instructor


Nimish Narang
Nimish Narang

Nimish Narang is Mammoth Interactive's lead developer specializing in Python, iOS and Android. Primarily a coder, he also is an avid trader.

Since 2011, 800,000 students have joined Mammoth Interactive around the world. Our courses have been featured at Harvard and Mashable.

Mammoth Interactive's mission is to close the tech skills gap by providing affordable and accessible courses primarily targeting beginners. Our instructors make video tutorials that are practical and to the point. Learning at Mammoth Interactive will be the next step to improving your career and your life.

Mammoth Interactive has released 200 courses with expert advice from CEO John Bura. John has been programming since 1997 and teaching since 2002.


Frequently Asked Questions


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.
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.
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.
What is the format of the courses?
Average courses are 5-50 hours long, with our biggest (to date) being Hello Coding, at 170 hours of content! Most lessons are between 15 and 30 minutes long, and they’re all available online that you can watch at any time that’s convenient for you. The videos feature a live recording of your instructor's screen as they develop in realtime. With all source code and reference files included. So there will be absolutely no guesswork for you. And in case you ever get stuck, you can ask any questions and leave comments under each lecture.
Do I get course certificates?
Yes, a course certificate will be generated at the end of each course you complete! Along with projects, certificates are a way you can prove your work on LinkedIn.
Do I have to show up at a particular place or a particular time?
No, each course happens online, and you can take it from any place where you have an internet connection. You can view all lectures offline via the Teachable iOS app. All lectures are prerecorded so you can watch them at any time that works for you. Of course, you can also enjoy all the lectures on your phone and tablet.
What if I’m not good with technology?
The majority of Mammoth Interactive students are complete beginners. Even if you feel like you know nothing about technology, you won’t feel left out. All technical concepts are described in simple terms while avoiding unnecessary jargon. Each course starts from scratch and builds up your knowledge substantially in steps. Students from age 5 to 70 have successfully completed our courses. And just in case you get stuck, you can always ask any questions under each lecture, which will be promptly answered by one of my team members.

REVIEWS OF MAMMOTH INTERACTIVE

"Captivating voice, easy to follow at a rapid pace, get some paper and fasten your seat-belts. I'm enjoying every second of this. Literally, I bought this course for specific lectures of the Python + Tensorflow aspects, and after 2 hours I already know way more than after 10 hours of the Zero-to-Deep-Learning." - Philip Murray, Machine Learning: Build Apps & Predictions & Analyze Data

"This course is a great way to get introduced to coding and bringing the game together from a full SLDC stance. The instructors are responsive, and the Q&A sections are extremely helpful. 100% worth the time invested to learn through this course." - Derek Hass, Unity & Blender Masterclass: Make a 3D Zenda Game

"Incredible course. Looking forward for more content like this. Thank you and good job." - Joniel Gallo, Predict fraud with data visualization & predictive modeling

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