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An Interactive 5-Day Training Course

Artificial Intelligence (AI) for Professionals

Apply artificial intelligence to drive smarter decisions, efficiency, and business value

The Artificial Intelligence (AI) for Professionals training course develops structured capability in understanding, applying, and leading artificial intelligence initiatives to improve decision-making, optimise operations, and embed data-driven practices across organisations.

Core Competencies:

AI Strategy
Data-Driven Decisions
Analytical Leadership
Digital Transformation

Course Schedule

12 - 16 Jan 2026

London

| $5950

23 - 27 Mar 2026

Dubai

| $5950

27 Apr - 01 May 2026

Dubai

| $5950

06 - 10 Jul 2026

London

| $5950

13 - 17 Jul 2026

Dubai

| $5950

03 - 07 Aug 2026

Barcelona

| $5950

14 - 18 Sep 2026

Dubai

| $5950

12 - 16 Oct 2026

Dubai

| $5950

23 - 27 Nov 2026

London

| $5950

28 Dec - 01 Jan 2027

Dubai

| $5950

On this Page

Introduction Key Learning Outcomes Training Methodology Who Should Attend? Outline

Introduction

Artificial intelligence has become a critical enabler of organisational performance, influencing how decisions are made, resources are allocated, and operations are optimised. As AI technologies become more accessible and embedded into everyday business tools, professionals across all functions are expected to understand how AI can be applied responsibly and effectively to solve real-world challenges. Without this understanding, organisations risk missed opportunities, inefficient investments, and resistance to change.

The Artificial Intelligence (AI) for Professionals training course provides a practical and business-focused introduction to artificial intelligence and data analytics. Participants gain insight into how AI supports analysis, forecasting, optimisation, and decision-making across business environments. The course emphasises leadership involvement, organisational readiness, and the adoption of AI-driven thinking to support transformation, innovation, and sustainable performance. It focuses on when and how to apply AI tools to achieve value while aligning with governance, risk, and ethical considerations.

Key focus areas include:

Business applications of artificial intelligence and analytics
Leadership roles in driving AI-enabled change
Data-driven decision-making and analytical thinking
Organisational readiness for AI adoption

Key Learning Outcomes

At the end of this Artificial Intelligence (AI) for Professionals training course, participants will be able to:

Analyse the business value of artificial intelligence and analytics initiatives
Evaluate opportunities for applying AI to improve operational and strategic decisions
Apply analytical and AI concepts to support evidence-based management
Integrate AI tools into business processes responsibly and effectively
Strengthen leadership capability in guiding AI-driven transformation
Improve organisational readiness for data-driven and AI-enabled change

Training Methodology

This Artificial Intelligence (AI) for Professionals training course adopts a practical and application-focused learning approach centred on real business use cases. Participants explore AI concepts, analytical methods, and decision scenarios to understand how artificial intelligence can be applied within organisational contexts. Emphasis is placed on critical thinking, leadership perspective, and translating AI concepts into actionable business initiatives.

Who Should Attend?

This Artificial Intelligence (AI) for Professionals training course is ideal for:

Business and functional leaders seeking to leverage AI
Managers responsible for decision-making and performance improvement
Project and transformation leaders
Data analysts and analytics professionals
Technology and digital innovation leaders
Professionals involved in data-driven and AI-enabled initiatives

Course Outline

Day 1

Artificial Intelligence Essentials

Data analysis and AI for successful leadership
AI added value to business and organization
Discovering patterns in data using analysis
Successful data analysis and artificial intelligence implementation
Planning and managing AI projects

Day 2

Artificial Intelligence and Data Analysis

The business context of opportunities
Data architecture for the implementation of artificial intelligence
Business priorities in dynamic and challenging business environments
Monitoring for anomalies in data
Improving data quality through the use of AI
Respecting diverse perspectives of problem solving

Day 3

Capabilities Required for Artificial Intelligence

Effective use of Chat GPT
Fundamental domain opportunities
ROI for prioritization, despite missing data
Supervised and unsupervised learning
Classification and clustering
Artificial neural networks

Day 4

Technology Roadmaps for Artificial Intelligence Use

Fuzzy set and Fuzzy rules
Importance of Fuzzy logic
Real example of Fuzzy controllers
Deep domain understanding
Applying initial solutions rapidly
Development focus

Day 5

Structure, Process, and Incentive Changes with AI

Problem-driven and planned up-front analytics
Regressions, likelihood, distributions
Data insights
Root Mean Square Error (RMSE)
Area Under the Curve (AUC)
Future strategies and digital transformation

International Standards & Professional Alignment

Our training courses are aligned with internationally recognised professional standards and frameworks across leadership, strategy, finance, governance, risk, compliance, and audit. By integrating globally trusted models, we ensure learners develop practical, relevant, and industry-recognised capabilities.

Our trainings draw on leading international standards and professional frameworks, including ISO, ISACA, COSO, OECD, IIA, FATF, Basel, IFRS/ISSB, GRI, NIST, CPD, ILM and the OECD AI Principles. This alignment ensures consistency with global best practices across financial management, risk oversight, digital governance, sustainability, and strategic decision-making..

Designed in alignment with globally recognised professional bodies, our courses support continuous professional development, strengthen organisational capability, and provide clear pathways toward professional certifications valued worldwide.