Description
Overview
AI management comes with the flexibility that gives organizations the ease to transact businesses. It also comes with a greater responsibility to tackle the increased security threat that surface. This course will equip participant with the skills required to embark on a journey of assessing their current on-premises environment, defining the IT and non-IT goals for Managing of the AI, understanding the operational target, securing the tasks and conducting the migration process.
Who to attend
Staff in the ICT, Telecommunication and Regulatory Sector
Objectives
By the end of the course, participants will be able to:
- Explain the benefits of adopting AI to business stakeholders
- Understand AI strengths and misconceptions, and discuss its benefits and weaknesses
- Analyze the major risks associated with the different AI services and deployment models
- Discuss the main principles, mechanisms and best practices for treating AI risks
Outline
· Overview of AI Management and Security
· The Journey to AI deployment
· Your Role in The Journey to AI management
· The Simplified Workflow for Getting to AI
· AI definition, misconceptions and evolution
· AO services and deployment types
· Defining AI trustworthiness
· Public AI deployment types Establishing trust
· AI Data Encryption
· Access management
· Trustworthy operational management
· Proactive and predictive management
· IaaS (Infrastructure as a Service)
· PaaS (Platform as a Service)
· AI Computing Security Management
· Security Issues in AI
· Encryption Key Management
· Key Principles and Strategies for Securing the Enterprise AI
