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Mobile Machine Learning: The Complete Masterclass

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

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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
 

Machine learning is changing the world around us. It’s bringing us self-driving cars, facial recognition and artificial intelligence. ML began on computers, but the next big wave is machine learning for mobile. Have you ever thought: why can’t my mobile device do more?

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.
 

THE VIDEO LESSONS


In this series of straight-to-the-point videos, you’ll learn how to:

 Python: Flexible and comprehensive, Python is an easy-to-use language that we will use to write powerful machine learning programs and other scripts.
 Java: Object-oriented and reliable, Java is one of the most widely-used languages and has been the choice language of Android applications for years.
 Swift: Java made easier - Swift has leaped in popularity and is now the choice language for iOS applications due to its flexibility and ease of use.
 PyCharm: Write, compile and run Python code in one convenient location.
 Android Studio: Build Android apps by providing both graphical and programming interfaces for front and back end functionality.
 Xcode: Navigate the iOS equivalent of Android Studio.


After the fundamentals, we’ll get into strategies and specifics, including:

 Keras: This higher level framework built upon TensorFlow makes model construction simpler but less flexible.
 TensorFlow: Allows us to build computational graphs & neural networks and perform intense tasks like training and optimizing models with ease.
 Android Neural Networks: Underlying API to communicate between TensorFlow models and the code we write.
 TensorFlow Mobile: Builds on Android neural networks API and is optimized for performance and efficiency on mobile devices.
 TensorFlow Lite: A further optimized version of TensorFlow Mobile.
 And much more!
 

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 mobile app developer specializing in both iOS and Android. Primarily a coder, he also is an avid trader.

Since 2011, 700,000 students have joined Mammoth Interactive around the world. Our courses have been featured on many websites such as Venture Beat, Expert Dojo and Cult of Mac.

Mammoth Interactive has released 185+ courses with expert advice from CEO John Bura. John has been programming since 1997 and teaching since 2002. He brings a unique perspective with years of experience of teaching and real word experience running a software company.


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.

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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