Artificial Intelligence for Business
4.5 (1,807 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
14,631 students enrolled

Artificial Intelligence for Business

Solve Real World Business Problems with AI Solutions
4.5 (1,807 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
14,631 students enrolled
Last updated 8/2020
English
English [Auto], French [Auto], 5 more
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Current price: $139.99 Original price: $199.99 Discount: 30% off
5 hours left at this price!
30-Day Money-Back Guarantee
This course includes
  • 15 hours on-demand video
  • 16 articles
  • 1 downloadable resource
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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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
Course content
Expand all 118 lectures 15:05:29
+ Case Study
4 lectures 19:16
Optimizing Business Processes - Step 2
01:50
Optimizing Business Processes - Step 3
05:06
Optimizing Business Processes - Step 4
07:07
+ AI Solution
11 lectures 02:03:28
Welcome to the Intuition Section
00:32
Plan of Attack
04:03
The Bellman Equation
18:25
The Plan
02:12
Markov Decision Process
16:26
Policy vs Plan
12:55
Living Penalty
09:47
Q-Learning Intuition
14:45
Temporal Difference
19:26
Q-Learning Visualization
13:31
+ Implementation
16 lectures 01:49:14
Optimizing Business Processes - Step 6
03:58
Optimizing Business Processes - Step 7
05:39
Optimizing Business Processes - Step 8
08:20
Optimizing Business Processes - Step 9
04:55
Optimizing Business Processes - Step 10
04:38
Optimizing Business Processes - Step 11
08:40
Optimizing Business Processes - Step 12
07:37
Optimizing Business Processes - Step 13
03:48
Optimizing Business Processes - Step 14
08:42
Optimizing Business Processes - Step 15
05:06
Optimizing Business Processes - Step 16
07:27
Optimizing Business Processes - Step 17
04:47
Optimizing Business Processes - Step 18
04:16
Optimizing Business Processes - Step 19
07:39
Optimizing Business Processes - Step 20
14:58
+ Homework
2 lectures 21:18
Homework Instruction
00:35
Homework Solution
20:43
+ Case Study
3 lectures 22:11
Minimizing Costs - Step 1
05:42
Minimizing Costs - Step 2
09:58
Minimizing Costs - Step 3
06:31
+ AI Solution
6 lectures 56:12
Welcome to the Intuition Section
00:26
Plan of Attack
02:17
Deep Q-Learning Intuition - Step 1
15:15
Deep Q-Learning Intuition - Step 2
06:06
Experience Replay
15:45
Action Selection Policies
16:23
+ Implementation
34 lectures 04:45:49
Minimizing Costs - Step 4
05:37
Minimizing Costs - Step 5
10:45
Minimizing Costs - Step 6
07:02
Minimizing Costs - Step 7
09:47
Minimizing Costs - Step 8
09:56
Minimizing Costs - Step 9
04:56
Minimizing Costs - Step 10
08:57
Minimizing Costs - Step 11
10:12
Minimizing Costs - Step 12
09:58
Minimizing Costs - Step 13
04:19
Minimizing Costs - Step 14
08:28
Minimizing Costs - Step 15
06:46
Minimizing Costs - Step 16
02:22
Minimizing Costs - Step 17
07:14
Minimizing Costs - Step 18
04:54
Minimizing Costs - Step 19
12:28
Minimizing Costs - Step 20
08:58
Minimizing Costs - Step 21
04:20
Minimizing Costs - Step 22
05:58
Minimizing Costs - Step 23
04:36
Minimizing Costs - Step 24
12:20
Minimizing Costs - Step 25
15:58
Minimizing Costs - Step 26
08:12
Minimizing Costs - Step 27
07:13
Minimizing Costs - Step 28
12:41
Minimizing Costs - Step 29
14:40
Minimizing Costs - Step 30
06:33
Minimizing Costs - Step 31
12:12
Minimizing Costs - Step 32
06:34
Installing Keras
00:32
Minimizing Costs - Step 33
15:43
Minimizing Costs - Step 34
10:09
Minimizing Costs - Step 35
07:44
Minimizing Costs - Step 36
07:45
Requirements
  • High School Maths
  • Basic Python Knowledge
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:

  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