Generative AI and Predictive AI in the Cloud: Foundational Concepts and Scenarios

Course details

If you’re an IT or tech-savvy business professional, you may be interested in exploring your options for integrating AI solutions with cloud computing. In this course, instructor Thomas Erl covers the key concepts outlining how to utilize cloud-based AI to enhance business decision-making and workflow automation.

Gather insights and practical advice on how cloud-based data science technology can be used to make digital businesses more data centric, more data intelligent, and more productive. Discover strategies for using predictive AI to improve decision-making and automate more intelligently, as Thomas shows you how to leverage generative AI to create new business content that adds new value.

Concepts

0. Introduction

01 - AI and the cloud

1. AI Basics

02 - Introduction to AI
03 - AI and big data
04 - AI models and training

2. Cloud AI Basics

05 - AI, clouds, and quantum computers
06 - AI and cloud automation
07 - Common cloud AI benefits
08 - Common cloud AI challenges

3. Using Predictive AI to Improve Decision-Making

09 - How humans make decisions
10 - How predictive AI helps humans make decisions
11 - How predictive AI can make decisions on its own
12 - Common cloud AI benefits
13 - Common cloud AI challenges

4. Using Predictive AI to Automate More Intelligently

14 - Automation without AI
15 - How predictive AI can enhance automation - RPA bots
16 - How predictive AI can enhance automation - Chatbots
17 - Common cloud AI benefits
18 - Common cloud AI challenges

5. Using Generative AI to Create New Business Value

19 - Creating new content and ideas without AI
20 - How generative AI can create new business content
21 - How generative AI can create new business ideas
22 - Common cloud AI benefits
23 - Common cloud AI challenges

Conclusion

24 - Next steps

Generative AI and Predictive AI in the Cloud: Foundational Concepts and Scenarios

Authors

Thomas Erl