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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