AI - Artificial Intelligence and Modern Business
Duration
4 hours
Overview
Description
The Artificial Intelligence and Modern Business course is an introductory course that begins by explaining general concepts around Artificial Intelligence (AI). The second module explains AI's advantages and disadvantages along with considerations around ethics, security and regulation. The last module focuses on AI's place on the mainframe covering topics around how AI can be used to assist in modernizing applications, help solve business problems using AI modelling, its use in various mainframe products such as Db2, and improve workload management.
Audience
The course is aimed at anyone seeking to gain a better understanding of what AI is, how it is being used today and its application on the mainframe.
Prerequisites
Some basic knowledge of IBM Z mainframe hardware and z/OS.
Objectives
- After completing this course, the student will be able to identify:
- Explain what Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) are.
- Describe what Neural Networks and Deep Neural Networks
- Describe an AI's learning cycle.
- Identify the advantages and disadvantages of using AI and the risks and ethical issues surrounding AI.
- Describe how AI is used on the mainframe and what the AI for z/OS Framework is.
Course Content
Introduction to Artificial Intelligence
What is Artificial Intelligence?
Where is Artificial Intelligence Used?
Machine Learning
Deep Learning
Neural Networks and How They Work
Training Neural Networks
What is Generative AI?
What is AIOps?
Artificial Intelligence in Today's World
AI's Use in Business
Cloud AI
Advantages and Disadvantages of AI
AI Democratization
AI Security
AI Ethics
AI Governance and Regulation
Artificial Intelligence on IBM Z
Model Training Frameworks
IBM Machine Learning for z/OS
Open Neural Network Exchange
AI in Mainframe Modernization
AI in Db2
AI Infusion into z/OS
z/OS AI Framework
Configuring the AI Framework