Artificial Intelligence for Business
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!”.
What Will You 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