Last updated 4/2018
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.51 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
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