image
The Ultimate Drawing Course Beginner to Advanced...
$179
$79
image
User Experience Design Essentials - Adobe XD UI UX...
$179
$79
Total:
$659

Description

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:
Optimize Business Processes
Minimize Costs
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

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

  • You will need a copy of Adobe XD 2019 or above. A free trial can be downloaded from Adobe.
  • No previous design experience is needed.
  • No previous Adobe XD skills are needed.

Course Content

27 sections • 95 lectures
Expand All Sections
1-Introduction
4
1.1-Welcome Challenge!
1.2-Introduction
1.3-Learning Paths
1.4-The Book
2--------------------- PART 1 - OPTIMIZING BUSINESS PROCESSES --------------------
1
2.1-Welcome to Part 1 - Optimizing Business Process
3-Case Study
4
3.1-Optimizing Business Processes - Step 1
3.2-Optimizing Business Processes - Step 2
3.3-Optimizing Business Processes - Step 3
3.4-Optimizing Business Processes - Step 4
4-AI Solution
11
4.1-Welcome to the Intuition Section
4.2-Plan of Attack
4.3-What is Reinforcement Learning?
4.4-The Bellman Equation
4.5-The Plan
4.6-Markov Decision Process
4.7-Policy vs Plan
4.8-Living Penalty
4.9-Q-Learning Intuition
4.10-Temporal Difference
4.11-Q-Learning Visualization
5-Implementation
16
5.1-Optimizing Business Processes - Step 5
5.2-Optimizing Business Processes - Step 6
5.3-Optimizing Business Processes - Step 7
5.4-Optimizing Business Processes - Step 8
5.5-Optimizing Business Processes - Step 9
5.6-Optimizing Business Processes - Step 10
5.7-Optimizing Business Processes - Step 11
5.8-Optimizing Business Processes - Step 12
5.9-Optimizing Business Processes - Step 13
5.10-Optimizing Business Processes - Step 14
5.11-Optimizing Business Processes - Step 15
5.12-Optimizing Business Processes - Step 16
5.13-Optimizing Business Processes - Step 17
5.14-Optimizing Business Processes - Step 18
5.15-Optimizing Business Processes - Step 19
5.16-Optimizing Business Processes - Step 20
6-Homework
2
6.1-Homework Instruction
6.2-Homework Solution
7--------------------- PART 2 - MINIMIZING COSTS --------------------
1
7.1-Welcome to Part 2 - Minimizing Costs
8-Case Study
3
8.1-Minimizing Costs - Step 1
8.2-Minimizing Costs - Step 2
8.3-Minimizing Costs - Step 3
9-AI Solution
6
9.1-Welcome to the Intuition Section
9.2-Plan of Attack
9.3-Deep Q-Learning Intuition - Step 1
9.4-Deep Q-Learning Intuition - Step 2
9.5-Experience Replay
9.6-Action Selection Policies
10-Implementation
34
10.1-Minimizing Costs - Step 4
10.2-Minimizing Costs - Step 5
10.3-Minimizing Costs - Step 6
10.4-Minimizing Costs - Step 7
10.5-Minimizing Costs - Step 8
10.6-Minimizing Costs - Step 9
10.7-Minimizing Costs - Step 10
10.8-Minimizing Costs - Step 11
10.9-Minimizing Costs - Step 12
10.10-Minimizing Costs - Step 13
10.11-Minimizing Costs - Step 14
10.12-Minimizing Costs - Step 15
10.13-Minimizing Costs - Step 16
10.14-Minimizing Costs - Step 17
10.15-Minimizing Costs - Step 18
10.16-Minimizing Costs - Step 19
10.17-Minimizing Costs - Step 20
10.18-Minimizing Costs - Step 21
10.19-Minimizing Costs - Step 22
10.20-Minimizing Costs - Step 23
10.21-Minimizing Costs - Step 24
10.22-Minimizing Costs - Step 25
10.23-Minimizing Costs - Step 26
10.24-Minimizing Costs - Step 27
10.25-Minimizing Costs - Step 28
10.26-Minimizing Costs - Step 29
10.27-Minimizing Costs - Step 30
10.28-Minimizing Costs - Step 31
10.29-Minimizing Costs - Step 32
10.30-Installing Keras
10.31-Minimizing Costs - Step 33
10.32-Minimizing Costs - Step 34
10.33-Minimizing Costs - Step 35
10.34-Minimizing Costs - Step 36
11-Homework
3
11.1-Homework Instruction
11.2-Homework Solution
11.3-Extra: Dropout
12--------------------- PART 3 - MAXIMIZING REVENUES --------------------
1
12.1-Welcome to Part 3 - Maximizing Revenues
13-Case Study
3
13.1-Maximizing Revenues - Step 1
13.2-Maximizing Revenues - Step 2
13.3-Maximizing Revenues - Step 3
14-AI Solution
3
14.1-Welcome to the Intuition Section
14.2-The Multi-Armed Bandit Problem
14.3-Thompson Sampling Intuition
15-Implementation
13
15.1-Maximizing Revenues - Step 4
15.2-Maximizing Revenues - Step 5
15.3-Maximizing Revenues - Step 6
15.4-Maximizing Revenues - Step 7
15.5-Maximizing Revenues - Step 8
15.6-Maximizing Revenues - Step 9
15.7-Maximizing Revenues - Step 10
15.8-Maximizing Revenues - Step 11
15.9-Maximizing Revenues - Step 12
15.10-Maximizing Revenues - Step 13
15.11-Maximizing Revenues - Step 14
15.12-Maximizing Revenues - Step 15
15.13-Maximizing Revenues - Step 16
16-Homework
3
16.1-Homework Instruction
16.2-Homework Solution
16.3-THANK YOU Video
17-Annex: Artificial Neural Networks
8
17.1-Plan of Attack
17.2-The Neuron
17.3-The Activation Function
17.4-How do Neural Networks work?
17.5-How do Neural Networks learn?
17.6-Gradient Descent
17.7-Stochastic Gradient Descent
17.8-Back-Propagation
18-Congratulations!! Don't forget your Prize :)
2
18.1-Huge Congrats for completing the challenge!
18.2-Bonus: How To UNLOCK Top Salaries (Live Training)