Udemy Ultimate Unity Games & Android Machine Learning Masterseries Udemy
Price: USD 200
  • Duration: Flexible

Course details

Do you want to build games and use machine learning? This course is for you!

Join Mammoth Interactive step-by-step in building a fully featured game from scratch. You will learn to use Python, Java, PyCharm,Android Studio and MNIST, build apps and use machine learning models in hands-on projects.

Funded by a #1 Kickstarter Project by Mammoth Interactive

  • 29.5 hours on-demand video

  • Unlimited offline access via the Udemy app

  • 12 Articles

  • 7 Supplemental Resources

  • Full lifetime access

This course is unique because... Not only will you learn to code a game in Unity from scratch -- you will also create all the artistic elements you will need to complete the game.

  • Build a Mega Dude platform shooter game in Unity.

  • Learn the fundamentals of game design.

  • Learn to code in 3 programming languages.

  • Use the Python 3.6 and Java 8languages.

  • Build, train and test machine learning models with TensorFlow.

  • And much more!

Included in this course is material for beginners to get comfortable with the interfaces. Please note that we reuse this content in similar courses because it is introductory material. You can find some material in this course in the following related courses:

  • Hands-On Machine Learning: Learn TensorFlow, Python, & Java!

  • Make predictions with Python machine learning for apps

  • Learn to make 7 games by hacking Unity and Unreal

  • Make a MegaDude Action Shooter Game in Unity with Pixel Art

  • Unity Game Mechanics Mastery and Blender 3D Modeling

Build Intelligent Mobile Applications

If you want to build sophisticated and intelligent mobile apps or simply want to know more about how machine learning works in a mobile environment, this course is for you.

You will explore machine learning concepts and learn howto use TensorFlow 1.4 to build, train, and testmachine learning models.

Enroll Now for Lifetime Access

Updated on 14 November, 2018
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