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Artificial Intelligence for Business

Solve Real World Business Problems with AI Solutions
Instructor:
Hadelin de Ponteves
34 students enrolled
English [Auto-generated]
OPTIMIZE BUSINESS PROCESSES
Master the General AI Framework
Understand and 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

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.

Introduction

1
Introduction
2
The Book

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

1
Welcome to Part 1 - Optimizing Business Process

Case Study

1
Optimizing Business Processes - Step 1
2
Optimizing Business Processes - Step 2
3
Optimizing Business Processes - Step 3
4
Optimizing Business Processes - Step 4

AI Solution

1
Welcome to the Intuition Section
2
Plan of Attack
3
What is Reinforcement Learning?
4
The Bellman Equation
5
The Plan
6
Markov Decision Process
7
Policy vs Plan
8
Living Penalty
9
Q-Learning Intuition
10
Temporal Difference
11
Q-Learning Visualization

Implementation

1
Optimizing Business Processes - Step 5
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3
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Optimizing Business Processes - Step 20

Homework

1
Homework Instruction
2
Homework Solution

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

1
Welcome to Part 2 - Minimizing Costs

Case Study

1
Minimizing Costs - Step 1
2
Minimizing Costs - Step 2
3
Minimizing Costs - Step 3

AI Solution

1
Welcome to the Intuition Section
2
Plan of Attack
3
Deep Q-Learning Intuition - Step 1
4
Deep Q-Learning Intuition - Step 2
5
Experience Replay
6
Action Selection Policies

Implementation

1
Minimizing Costs - Step 4
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Minimizing Costs - Step 6
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Installing TensorFlow and Keras
31
Minimizing Costs - Step 33
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Minimizing Costs - Step 36

Homework

1
Homework Instruction
2
Homework Solution
3
BONUS: Dropout

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

1
Welcome to Part 3 - Maximizing Revenues

Case Study

1
Maximizing Revenues - Step 1
2
Maximizing Revenues - Step 2
3
Maximizing Revenues - Step 3
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Includes

15 hours on-demand video
13 articles
Full lifetime access
Access on mobile and TV
Certificate of Completion

Working hours

Monday 9:30 am - 6.00 pm
Tuesday 9:30 am - 6.00 pm
Wednesday 9:30 am - 6.00 pm
Thursday 9:30 am - 6.00 pm
Friday 9:30 am - 5.00 pm
Saturday Closed
Sunday Closed