Artificial Intelligence For Business + Chatgpt Prize [2024]

Solve Real World Business Problems with AI Solutions implemented in Python. Code templates included.

What you’ll learn
OPTIMIZE BUSINESS PROCESSES
Master the General AI Framework
Implement Q-Learning
Save and Load a model
Build an Optimization Model
Implement Early Stopping
Maximize Efficiency
MAXIMIZE REVENUES
MINIMIZE COSTS
Implement Thompson Sampling
Implement Deep Q-Learning
Leverage AI to make the best decision
Build an AI Environment from scratch
Implement Online Learning
Build an Artificial Brain
Implement Regret Analysis

Requirements
High School Maths
Basic Python Knowledge

Description
Structure of the course:Part 1 – Optimizing Business ProcessesCase Study: Optimizing the Flows in an E-Commerce WarehouseAI Solution: Q-LearningPart 2 – Minimizing CostsCase Study: Minimizing the Costs in Energy Consumption of a Data CenterAI Solution: Deep Q-LearningPart 3 – Maximizing RevenuesCase Study: Maximizing Revenue of an Online Retail BusinessAI Solution: Thompson SamplingReal World Business Applications:With Artificial Intelligence, you can do three main things for any business:Optimize Business ProcessesMinimize CostsMaximize RevenuesWe will show you exactly how to succeed these applications, through Real World Business case studies. And for each of these applications we will build a separate AI to solve the challenge.In Part 1 – Optimizing Processes, we will build an AI that will optimize the flows in an E-Commerce warehouse!In Part 2 – Minimizing Costs, we will build a more advanced AI that will minimize the costs in energy consumption of a data center by more than 50%! Just as Google did last year thanks to DeepMind!In Part 3 – Maximizing Revenues, we will build a different AI that will maximize revenue of an Online Retail Business, making it earn more than 1 Billion dollars in revenue!But that’s not all, this time, and for the first time, we’ve prepared a huge innovation for you. With this course, you will get an incredible extra product, highly valuable for your career:”a 100-pages book covering everything about Artificial Intelligence for Business!”.The Book:This book includes:100 pages of crystal clear explanations, written in beautiful and clean latexAll the AI intuition and theory, including the math explained in detailThe three Case Studies of the course, and their solutionsThree different AI models, including Q-Learning, Deep Q-Learning, and Thompson SamplingCode TemplatesHomework and their solutions for you to practicePlus, lots of extra techniques and tips like saving and loading models, early stopping, and much much more.Conclusion:If you want to land a top-paying job or create your very own successful business in AI, then this is the course you need.Take your AI career to new heights today with Artificial Intelligence for Business — the ultimate AI course to propel your career further.

Overview
Section 1: Introduction

Lecture 1 Welcome Challenge!

Lecture 2 Introduction

Lecture 3 Learning Paths

Lecture 4 The Book

Section 2: ——————– PART 1 – OPTIMIZING BUSINESS PROCESSES ——————–

Lecture 5 Welcome to Part 1 – Optimizing Business Process

Section 3: Case Study

Lecture 6 Optimizing Business Processes – Step 1

Lecture 7 Optimizing Business Processes – Step 2

Lecture 8 Optimizing Business Processes – Step 3

Lecture 9 Optimizing Business Processes – Step 4

Section 4: AI Solution

Lecture 10 Welcome to the Intuition Section

Lecture 11 Plan of Attack

Lecture 12 What is Reinforcement Learning?

Lecture 13 The Bellman Equation

Lecture 14 The Plan

Lecture 15 Markov Decision Process

Lecture 16 Policy vs Plan

Lecture 17 Living Penalty

Lecture 18 Q-Learning Intuition

Lecture 19 Temporal Difference

Lecture 20 Q-Learning Visualization

Section 5: Implementation

Lecture 21 Optimizing Business Processes – Step 5

Lecture 22 Optimizing Business Processes – Step 6

Lecture 23 Optimizing Business Processes – Step 7

Lecture 24 Optimizing Business Processes – Step 8

Lecture 25 Optimizing Business Processes – Step 9

Lecture 26 Optimizing Business Processes – Step 10

Lecture 27 Optimizing Business Processes – Step 11

Lecture 28 Optimizing Business Processes – Step 12

Lecture 29 Optimizing Business Processes – Step 13

Lecture 30 Optimizing Business Processes – Step 14

Lecture 31 Optimizing Business Processes – Step 15

Lecture 32 Optimizing Business Processes – Step 16

Lecture 33 Optimizing Business Processes – Step 17

Lecture 34 Optimizing Business Processes – Step 18

Lecture 35 Optimizing Business Processes – Step 19

Lecture 36 Optimizing Business Processes – Step 20

Section 6: Homework

Lecture 37 Homework Instruction

Lecture 38 Homework Solution

Section 7: ——————– PART 2 – MINIMIZING COSTS ——————–

Lecture 39 Welcome to Part 2 – Minimizing Costs

Section 8: Case Study

Lecture 40 Minimizing Costs – Step 1

Lecture 41 Minimizing Costs – Step 2

Lecture 42 Minimizing Costs – Step 3

Section 9: AI Solution

Lecture 43 Welcome to the Intuition Section

Lecture 44 Plan of Attack

Lecture 45 Deep Q-Learning Intuition – Step 1

Lecture 46 Deep Q-Learning Intuition – Step 2

Lecture 47 Experience Replay

Lecture 48 Action Selection Policies

Section 10: Implementation

Lecture 49 Minimizing Costs – Step 4

Lecture 50 Minimizing Costs – Step 5

Lecture 51 Minimizing Costs – Step 6

Lecture 52 Minimizing Costs – Step 7

Lecture 53 Minimizing Costs – Step 8

Lecture 54 Minimizing Costs – Step 9

Lecture 55 Minimizing Costs – Step 10

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Lecture 58 Minimizing Costs – Step 13

Lecture 59 Minimizing Costs – Step 14

Lecture 60 Minimizing Costs – Step 15

Lecture 61 Minimizing Costs – Step 16

Lecture 62 Minimizing Costs – Step 17

Lecture 63 Minimizing Costs – Step 18

Lecture 64 Minimizing Costs – Step 19

Lecture 65 Minimizing Costs – Step 20

Lecture 66 Minimizing Costs – Step 21

Lecture 67 Minimizing Costs – Step 22

Lecture 68 Minimizing Costs – Step 23

Lecture 69 Minimizing Costs – Step 24

Lecture 70 Minimizing Costs – Step 25

Lecture 71 Minimizing Costs – Step 26

Lecture 72 Minimizing Costs – Step 27

Lecture 73 Minimizing Costs – Step 28

Lecture 74 Minimizing Costs – Step 29

Lecture 75 Minimizing Costs – Step 30

Lecture 76 Minimizing Costs – Step 31

Lecture 77 Minimizing Costs – Step 32

Lecture 78 Installing Keras

Lecture 79 Minimizing Costs – Step 33

Lecture 80 Minimizing Costs – Step 34

Lecture 81 Minimizing Costs – Step 35

Lecture 82 Minimizing Costs – Step 36

Section 11: Homework

Lecture 83 Homework Instruction

Lecture 84 Homework Solution

Lecture 85 Extra: Dropout

Section 12: ——————– PART 3 – MAXIMIZING REVENUES ——————–

Lecture 86 Welcome to Part 3 – Maximizing Revenues

Section 13: Case Study

Lecture 87 Maximizing Revenues – Step 1

Lecture 88 Maximizing Revenues – Step 2

Lecture 89 Maximizing Revenues – Step 3

Section 14: AI Solution

Lecture 90 Welcome to the Intuition Section

Lecture 91 The Multi-Armed Bandit Problem

Lecture 92 Thompson Sampling Intuition

Section 15: Implementation

Lecture 93 Maximizing Revenues – Step 4

Lecture 94 Maximizing Revenues – Step 5

Lecture 95 Maximizing Revenues – Step 6

Lecture 96 Maximizing Revenues – Step 7

Lecture 97 Maximizing Revenues – Step 8

Lecture 98 Maximizing Revenues – Step 9

Lecture 99 Maximizing Revenues – Step 10

Lecture 100 Maximizing Revenues – Step 11

Lecture 101 Maximizing Revenues – Step 12

Lecture 102 Maximizing Revenues – Step 13

Lecture 103 Maximizing Revenues – Step 14

Lecture 104 Maximizing Revenues – Step 15

Lecture 105 Maximizing Revenues – Step 16

Section 16: Homework

Lecture 106 Homework Instruction

Lecture 107 Homework Solution

Lecture 108 THANK YOU Video

Section 17: Annex: Artificial Neural Networks

Lecture 109 Plan of Attack

Lecture 110 The Neuron

Lecture 111 The Activation Function

Lecture 112 How do Neural Networks work?

Lecture 113 How do Neural Networks learn?

Lecture 114 Gradient Descent

Lecture 115 Stochastic Gradient Descent

Lecture 116 Back-Propagation

Section 18: Congratulations!! Don’t forget your Prize 🙂

Lecture 117 Huge Congrats for completing the challenge!

Lecture 118 Bonus: How To UNLOCK Top Salaries (Live Training)

Business Driven people, who are eager to learn how to leverage AI to optimize their Business, maximize profitability and efficiency,AI practitioners, who want to know what projects they can offer to their Employees,Aspiring Data Scientists, looking for Business Cases to add to their Portfolio,Technology Enthusiasts interested in leveraging Machine Learning and Artificial Intelligence to solve Business Problems,Consultants, who want to transition companies into AI Driven Businesses