No Experience Required

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.