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The Ultimate Unity Games & Python Artificial Intelligence

Posted By: ELK1nG
The Ultimate Unity Games & Python Artificial Intelligence

The Ultimate Unity Games & Python Artificial Intelligence
Last updated 4/2018
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.52 GB | Duration: 15h 48m

Includes FREE webinar! Learn C# using Unity 2017. Learn Python coding, TensorFlow logistic regression and make an app!

What you'll learn
Build a 2D Double Dragoon sidescroller Beat Em Up game in Unity®
Learn the fundamentals of game design
Code in C#
Create game art in Photoshop
Add sound effects to the game
Code in Python, a popular coding language used for websites like YouTube and Instagram
Learn TensorFlow
Build models of linear regression
Make an app with Python that uses data to predict the stock market
Requirements
Unity® 2017.2.0f3
Adobe Photoshop CC 2017 or a free alternative
PyCharm Community Edition 2017.2.3
This course was recorded on a Mac, but you can use a PC
Description
Build a fully functional Double Dragoon Beat Em Up game. Learn hands-on Python coding, TensorFlow logistic regression, regression analysis, machine learning and data science!

This course was funded by a #1 project on Kickstarter
In Part 1 - Glauco Pires from Mammoth Interactive will teach you how to build a game in Unity®. Learn to code, make art and add sound to build a full 2D Double Dragoon game in Unity® 2017. You will learn the fundamentals of designing, coding, and fine-tuning a game.
You will design the game and its functionality in Unity® and learn how to code in C#. Don't worry if you've never coded before! We will start simple and add more to the game as the course goes on. We will interweave theory with practical examples so that you'll learn by doing.
In addition - Kevin Liao will teach you everything you need to know about Photoshop to make game art.
But wait! There's more:
Do you want to predict the stock market using artificial intelligence? In Part 2, you will learn how to code in Python, calculate linear regression with TensorFlow and make a stock market prediction app. 
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:
Learn to Code in C# by Making a Multiplayer Unity® Game  The Complete Unity and Artificial Intelligence MasterclassMake an Artificial Intelligence Stock Market Prediction App Bonus
Also included is the webinar How To Master Anything by Mammoth Interactive founder John Bura. Being able to master a skill quickly is an essential in modern industries because the world changes so rapidly. 

In this webinar, you will learn what you need to become a professional in your field. John will tell you the secrets on how to get good at anything fast. 
Learn what you can do to make yourself stand out in your career!
Reviews
An easily understood course, with detailed instruction and good explanation of the concepts involved in making this clone game. A very well done tutorial, especially fro someone like me is just now learning how to write code.
I really like the approach the presenter takes – not just the technical details, but also the very human, personal development information and recommendations he provides.
The instructor is very good at teaching. He teaches at a great pace and covers anything a beginner would need to understand (every little detail). I am already learning a lot and I just started yesterday.Enroll now to join the Mammoth community

Overview

Lecture 1 Course Trailer

Section 1: Introduction to Unity's Interface

Lecture 2 Introduction

Lecture 3 Unity Editor

Lecture 4 Moving a Cube

Lecture 5 Materials

Lecture 6 Lights

Lecture 7 Particle System

Lecture 8 Applying Physics

Lecture 9 Asset Store

Section 2: Coding (Introduction to Unity)

Lecture 10 Introduction

Lecture 11 Variables

Lecture 12 Methods

Lecture 13 If Blocks

Lecture 14 Loops

Section 3: Inputs (Introduction to Unity)

Lecture 15 Introduction

Lecture 16 Key Presses

Lecture 17 Moving a Player

Lecture 18 Jumping

Lecture 19 Moving Forward

Lecture 20 Cycling Cameras

Section 4: Prefabs (Introduction to Unity)

Lecture 21 Introduction

Lecture 22 Introduction to Prefabs

Lecture 23 FAQ on Instantiating Objects

Lecture 24 Random Angles

Lecture 25 FAQ on Destroying Objects

Lecture 26 Explosion Effect

Lecture 27 Adding Explosion Effects

Section 5: Let's Build a Game (Unity Project)

Lecture 28 Introduction

Lecture 29 Starting the Project

Lecture 30 Player Hierarchy

Lecture 31 Player Kick

Lecture 32 Identifying Kicked Objects

Lecture 33 Grabbing Objects

Lecture 34 Throwing Objects

Section 6: Introduction to Photoshop (Projects)

Lecture 35 Build a New File

Lecture 36 Navigational Controls

Lecture 37 Basic Tools Rundown

Lecture 38 Basic Tools Usages

Lecture 39 Basic Secondary Tools

Lecture 40 Basic Layers

Lecture 41 Painting Sample

Lecture 42 Introduction to Adjustment Layers

Lecture 43 More About Adjustment Layers

Lecture 44 Adjustment Layers Finale

Lecture 45 Transform Tool

Lecture 46 More about the Transform Tool

Lecture 47 Color Range Select

Lecture 48 Image Settings

Lecture 49 Image Adjustment

Lecture 50 Photoshop Fun

Lecture 51 More Photoshop Fun

Lecture 52 Ruler Usage

Section 7: Let's Make Art Assets for the Game (Photoshop Projects)

Lecture 53 Project Setup

Lecture 54 Background Street

Lecture 55 Background Sidewalk

Lecture 56 Background Wood Fence

Lecture 57 Background Chain Fence

Lecture 58 Background Cityscape

Lecture 59 Cardboard Box

Lecture 60 Trash Can

Lecture 61 Barrels

Lecture 62 Character Idle

Lecture 63 Character Punch

Lecture 64 Character Kick

Lecture 65 Item Hold and Toss

Lecture 66 Character Run

Lecture 67 Enemy Character

Lecture 68 Dragoon Exports

Section 8: Finishing the Game (Unity Project)

Lecture 69 Art Integration

Lecture 70 Player Animation

Lecture 71 Order in Layer

Lecture 72 Interface

Lecture 73 Player 2

Lecture 74 Decrease Health Points

Lecture 75 Multiple Hits

Lecture 76 Restarting the Game

Lecture 77 Audio: Game Sound FX

Lecture 78 Challenge Time!

Section 9: Unity Project Resources

Lecture 79 ($2000 value!) Art Assets and Source Code

Section 10: Introduction to the Python Section

Lecture 80 What is Python Artificial Intelligence?

Section 11: Python Fundamentals

Lecture 81 Installing Python and PyCharm

Lecture 82 How to Use PyCharm

Lecture 83 Introduction and Variables

Lecture 84 Multivalue Variables

Lecture 85 Control Flow

Lecture 86 Functions

Lecture 87 Classes and Wrapup

Lecture 88 ($300 value!) Source Files

Section 12: Fundamentals of TensorFlow

Lecture 89 Installing TensorFlow

Lecture 90 Introduction and Setup

Lecture 91 What is TensorFlow?

Lecture 92 Constant and Operation Nodes

Lecture 93 Placeholder Nodes

Lecture 94 Variable Nodes

Lecture 95 How to Create Linear Regression Model

Lecture 96 Building Linear Regression Model

Lecture 97 ($300 value!) Source Files

Section 13: Stock Market Prediction (Project)

Lecture 98 Introduction

Lecture 99 Project Overview

Lecture 100 Understanding the Datasets

Lecture 101 Importing and Formatting Data We Want

Lecture 102 Calculating Price Differences

Lecture 103 Building a Computational Graph

Lecture 104 Training a Model

Lecture 105 Testing Model Accuracy

Lecture 106 Summary and Outro

Lecture 107 ($300 value!) Source Files

Section 14: Bonus Content

Lecture 108 Please leave us a rating

Lecture 109 Bonus Lecture: Free $200 Webinar

People who want to make games,Beginners who want to learn to use Artificial Intelligence,Prior coding experience is helpful. For an in-depth intro to Python, search for our Ultimate Python Beginner Course,Artificial intelligence topics involve intermediate math, so familiarity with university-level math is very helpful