Structure of the course:

Part 1 - Optimizing Business Processes
Case Study: Optimizing the Flows in an E-Commerce Warehouse
AI Solution: Q-Learning

Part 2 - Minimizing Costs
Case Study: Minimizing the Costs in Energy Consumption of a Data Center
AI Solution: Deep Q-Learning

Part 3 - Maximizing Revenues
Case Study: Maximizing Revenue of an Online Retail Business
AI Solution: Thompson Sampling


Real World Business Applications:

With Artificial Intelligence, you can do three main things for any business:

  1. Optimize Business Processes

  2. Minimize Costs

  3. Maximize Revenues

We 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 latex

  • All the AI intuition and theory, including the math explained in detail

  • The three Case Studies of the course, and their solutions

  • Three different AI models, including Q-Learning, Deep Q-Learning, and Thompson Sampling

  • Code Templates

  • Homework and their solutions for you to practice

  • Plus, 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.

Who this course is for:
  • 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



Course Curriculum

  • 1

    Introduction

  • 2

    -------------------- PART 1 - OPTIMIZING BUSINESS PROCESSES --------------------

    • Welcome to Part 1 - Optimizing Business Process

    • Code Template: Part 1 - Optimizing Business Processes
  • 3

    Case Study

    • Optimizing Business Processes - Step 1

    • Optimizing Business Processes - Step 2

    • Optimizing Business Processes - Step 3

    • Optimizing Business Processes - Step 4
  • 4

    AI Solution

    • Plan of Attack

    • What is Reinforcement Learning?

    • The Bellman Equation

    • The Plan

    • Welcome to the Intuition Section

    • Markov Decision Process

    • Policy vs Plan

    • Living Penalty

    • Q-Learning Intuition

    • Temporal Difference

    • Q-Learning Visualization
  • 5

    Implementation

    • Optimizing Business Processes - Step 5

    • Optimizing Business Processes - Step 6

    • Optimizing Business Processes - Step 7

    • Optimizing Business Processes - Step 8

    • Optimizing Business Processes - Step 9

    • Optimizing Business Processes - Step 10

    • Optimizing Business Processes - Step 11

    • Optimizing Business Processes - Step 12

    • Optimizing Business Processes - Step 13

    • Optimizing Business Processes - Step 14

    • Optimizing Business Processes - Step 15

    • Optimizing Business Processes - Step 16

    • Optimizing Business Processes - Step 17

    • Optimizing Business Processes - Step 18

    • Optimizing Business Processes - Step 19

    • Optimizing Business Processes - Step 20
  • 6

    Homework

    • Homework Instruction

    • Homework Solution
  • 7

    -------------------- PART 2 - MINIMIZING COSTS --------------------

    • Welcome to Part 2 - Minimizing Costs

    • Code Template: Part 2 - Minimizing Costs
  • 8

    Case Study

    • Minimizing Costs - Step 1

    • Minimizing Costs - Step 2

    • Minimizing Costs - Step 3
  • 9

    AI Solution

    • Welcome to the Intuition Section

    • Plan of Attack

    • Deep Q-Learning Intuition - Step 1

    • Deep Q-Learning Intuition - Step 2

    • Experience Replay

    • Action Selection Policies
  • 10

    Implementation

    • Minimizing Costs - Step 4

    • Minimizing Costs - Step 5

    • Minimizing Costs - Step 6

    • Minimizing Costs - Step 7

    • Minimizing Costs - Step 8

    • Minimizing Costs - Step 9

    • Minimizing Costs - Step 10

    • Minimizing Costs - Step 11

    • Minimizing Costs - Step 12

    • Minimizing Costs - Step 13

    • Minimizing Costs - Step 14

    • Minimizing Costs - Step 15

    • Minimizing Costs - Step 16

    • Minimizing Costs - Step 17

    • Minimizing Costs - Step 18

    • Minimizing Costs - Step 19

    • Minimizing Costs - Step 20

    • Minimizing Costs - Step 21

    • Minimizing Costs - Step 22

    • Minimizing Costs - Step 23

    • Minimizing Costs - Step 24

    • Minimizing Costs - Step 25

    • Minimizing Costs - Step 26

    • Minimizing Costs - Step 27

    • Minimizing Costs - Step 28

    • Minimizing Costs - Step 29

    • Minimizing Costs - Step 30

    • Minimizing Costs - Step 31

    • Minimizing Costs - Step 32

    • Installing Keras

    • Minimizing Costs - Step 33

    • Minimizing Costs - Step 34

    • Minimizing Costs - Step 35
  • 11

    Homework

    • Homework Instruction

    • Homework Solution

    • BONUS: Droput
  • 12

    -------------------- PART 3 - MAXIMIZING REVENUES --------------------

    • Welcome to Part 3 - Maximizing Revenues

    • Code Template: Part 3 - Maximizing Revenues
  • 13

    Case Study

    • Maximizing Revenues - Step 1

    • Maximizing Revenues - Step 2

    • Maximizing Revenues - Step 3
  • 14

    AI Solution

    • Welcome to the Intuition Section

    • The Multi-Armed Bandit Problem

    • Thompson Sampling Intuition
  • 15

    Implementation

    • Maximizing Revenues - Step 4

    • Maximizing Revenues - Step 5

    • Maximizing Revenues - Step 6

    • Maximizing Revenues - Step 7

    • Maximizing Revenues - Step 8

    • Maximizing Revenues - Step 9

    • Maximizing Revenues - Step 10

    • Maximizing Revenues - Step 11

    • Maximizing Revenues - Step 12

    • Maximizing Revenues - Step 13

    • Maximizing Revenues - Step 14

    • Maximizing Revenues - Step 15

    • Maximizing Revenues - Step 16
  • 16

    Homework

    • Homework Instruction

    • Homework Solution
  • 17

    Annex 1: Artificial Neural Networks

    • Plan of Attack

    • The Neuron

    • The Activation Function

    • How do Neural Networks work?

    • How do Neural Networks learn?

    • Gradient Descent

    • Stochastic Gradient Descent

    • Backpropagation

About the instructor

IT Manager

Eric Chu

A proven and experienced IT Manager, customer-focused and equipped with a technical background. I have over 8 years’ experience in IT Service Delivery Management and leading small to medium crossfunctional teams, and over 15 years of experience in IT Training and Sales.Through my passion for technology, science, and innovation, I have fostered extensive practical knowledge of emerging technologies, complex networks, and data centre eco-systems.I have had the opportunity to work across the Asia Pacific region as an experienced Business Development Manager and IT Project Manager delivering end to end solutions.

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