NEVADA | PROFESSIONAL EXPERIENCE

Program Professional Framework

Artificial Intelligence Integration for non-AI specialists – for Managers & Executives

Program Overview

Managers do not need to code to lead AI adoption, but they must be able to judge where AI creates value, what it costs and what can go wrong. This course gives non-technical leaders a practical toolkit: plain-language explanations of machine learning and generative AI, methods for identifying and prioritizing use cases, building business cases, choosing between buying, partnering and building, working effectively with data and vendor teams, and managing change and workforce impact. It also covers risk, governance and data protection obligations, with reference to Gulf national AI strategies and organizational readiness.

Learning Outcomes

✓Explain to colleagues how machine learning and generative AI work and what each can realistically deliver.
✓Identify and prioritize AI use cases in their area using a value and feasibility matrix.
✓Build a business case for an AI initiative including costs, benefits, risks and success measures.
✓Evaluate buy, partner and build options and assess AI vendor proposals with targeted questions.
✓Plan the people side of AI adoption including role changes, skills development and communication.

Target Audience

Senior and middle managers in business functions
Executives sponsoring digital transformation programs
Department heads in government and semi-government entities
Business owners and general managers

Detailed Program Modules

01AI in Plain Language

Machine learning, generative AI and automation
What AI can and cannot do
National AI strategies in the Gulf region

02Finding Value: Use Case Identification

Mapping processes for AI opportunities
Value and feasibility prioritization
Quick wins versus strategic initiatives

03Business Cases and Investment Decisions

Estimating costs, benefits and payback
Defining success metrics and pilots
Buy, partner or build decisions

04Working with Data and Technology Teams

Data readiness and quality questions
Evaluating vendors and proposals
Managing pilots and scaling

05Leading Change and People

Workforce impact and role redesign
Building AI literacy in teams
Overcoming resistance and building trust

06Risk, Governance and Ethics

Data protection and confidentiality
Bias, accountability and human oversight
Setting an AI governance approach for the department

Training Methodology

Interactive expert-led sessions grounded in workplace examples

Case studies and practical exercises drawn from the region

Group workshops with peer review of decisions and deliverables

Formative feedback against clear performance criteria

Applied Project & Assessment

Applied Project

Participants prepare an AI integration proposal for their department: prioritized use cases, a business case for the top initiative, a pilot plan with success metrics, key risks and controls, and a change management outline.

Assessment

Short diagnostic at the start, practical tasks linked to each learning outcome, and evaluation of the applied project against published criteria.

University Certificate & International Accreditation

Professional Certificate accredited by City University Malaysia in Artificial Intelligence Integration for non-AI specialists – for Managers & Executives

International accreditation: American Association of Innovation (AAI)