Name: Artificial Intelligence (AI) and Analytics for Leaders, Managers and Professionals Training Course
Rating: 4.7 (1076 reviews)

Scheduled Dates

12 - 16 Oct 2026

Dubai - UAE

$5,950

Why Choose this Training Course?

This training course equips you to harness AI and data for better decisions, stronger strategy and measurable business value. AI has spread into every part of personal and business life, and leaders who understand how and when to use it can optimise operations and stay ahead in a rapidly changing landscape. You will gain a clear understanding of AI concepts, practical tools and the leadership skills to turn data into actionable insights, explained in clear business language.

Over five days, you will learn to process and analyse data, apply machine learning and generative AI, and use AI for market analysis, scenario planning and risk assessment. You will also address ethics, bias and governance, and learn to lead the people, culture and structural changes that successful AI adoption demands. Drawing on real organisational challenges, you will learn to scale AI solutions, measure their return and communicate the value of data-driven strategies to stakeholders.

This training course will highlight:

The role of leaders in the success of AI and analytics
Understanding data in the enterprise: analysis, architecture and quality
AI technologies, tools and techniques, from machine learning to generative AI
AI-powered strategy: market insight, scenario planning, risk assessment and responsible governance
Leading AI-driven change, scaling solutions and measuring AI return on investment

What are the Goals?

At the end of this training course, you will learn to:

Identify the best analytics and AI strategy
Evaluate AI applications and their business value
Analyse data and translate insights into recommendations
Apply AI to scenario planning and risk
Lead responsible, ethical AI adoption across organisations

Who is this Training Course for?

This course suits leaders, managers and professionals who want to harness AI and analytics for innovation and informed decisions. No technical or data science background is required to benefit.

This training course is suitable to a wide range of professionals but will greatly benefit:

CEOs, CTOs, CMOs, senior executives and business leaders responsible for strategic decisions
Senior and functional managers integrating data analytics into strategic planning
Technical leaders and project managers leading AI and analytics initiatives
Business analysts, data analysts, data scientists and consultants applying data skills to strategic challenges
Inspired leaders and aspiring leaders seeking AI-savvy, data-driven careers

How will this Training Course be Presented?

This training course combines engaging lectures, group discussions, case studies and hands-on exercises, using proven adult learning techniques to maximise understanding and retention. Delegates work with AI and data analysis tools, focusing on interpreting results and managerial implications rather than technical configuration. They are encouraged to bring real organisational challenges for use in group exercises and project work. Senior consultants provide practical insights relevant to each industry.

Organisational Impact

The Organisation will have the following benefits:

Develop informed and AI-savvy leadership
Make data-driven decisions that optimise performance
Allocate resources strategically through data analysis
Gain competitive advantage through AI-powered insights
Increase efficiency by automating repetitive tasks
Foster innovation and a responsible, data-driven culture

Personal Impact

At the end of this training course, the participants will gain the following:

Gain confidence in AI concepts and terminology
Develop strategies for integrating AI into leadership
Acquire hands-on experience with AI tools
Strengthen critical thinking and data-driven problem-solving
Communicate data-driven insights to stakeholders effectively
Become an AI-aware, forward-thinking leader

Daily Agenda

Day 1: Unlocking AI's Value: Foundations, Business Context and Data-Driven Strategy

Core principles of strategic management today and the role of leaders in the success of AI and analytics
Demystifying analytics and AI: key concepts, cutting-edge technologies and innovations
How AI fuels disruption and competitive advantage, and global AI adoption trends shaping industries
AI's added value to business: turning data into business insights, with real-world examples and success stories
Discovering patterns in data using analysis
Defining success: key metrics for AI-driven growth
The challenges and opportunities of data-driven strategy, including ethical considerations
Identifying the best analytics strategy for the organisation and the critical time and opportunity for change with AI

Day 2: Mastering Data for AI: Analysis, Architecture, Quality and Performance Insight

The business context of opportunities, deep domain understanding and business priorities in dynamic and challenging environments
Identifying and analysing relevant data sets for strategic planning, including internal data sources, market research and customer surveys
Data architecture for the implementation of artificial intelligence
Best practices in data exploration and cleaning to ensure data quality and accuracy
Improving data quality through the use of AI and monitoring for anomalies in data
Data visualisation techniques to communicate insights to stakeholders effectively
Identifying key performance indicators (KPIs) aligned with strategic objectives and leveraging dashboards and reporting tools for ongoing monitoring
Data-driven strategies for smarter decision-making, respecting diverse perspectives of problem solving

Day 3: AI Capabilities: Machine Learning, Analytical Techniques and Practical Tools

Demystifying machine learning and deep learning, and the AI technologies relevant to management, including natural language processing
Supervised and unsupervised learning: classification and clustering
Artificial neural networks
Fuzzy sets and fuzzy rules: the importance of fuzzy logic and real examples of fuzzy controllers
Problem-driven and planned up-front analytics: regressions, likelihood, distributions and data insights
Evaluating model performance with Root Mean Square Error (RMSE) and Area Under the Curve (AUC)
Effective use of ChatGPT and other generative AI assistants
Navigating the AI ecosystem: essential tools and platforms to enhance productivity and problem-solving

Day 4: AI-Powered Strategic Decision-Making: Market Insight, Scenario Planning, Risk and Governance

AI for market analysis: customer segmentation and trend forecasting
AI-powered tools for competitor intelligence
Scenario planning: simulating future market conditions and potential outcomes with AI
Building intelligent, data-driven decision-making models and frameworks and integrating them into strategic planning
Identifying, assessing and mitigating strategic risks using data-driven approaches and AI decision-support tools to ensure business continuity
Identifying and controlling AI-related risks and tackling AI bias, fairness and transparency challenges
Ethics, compliance and trust in AI implementation: robust AI governance policies and tools for AI integrity and performance monitoring
The limitations of AI and the importance of human oversight in strategic decision-making

Day 5: Leading AI Implementation: Culture, Change, Scale, ROI and the Future

The leader's role in AI success: leadership in the AI era, strategies for seamless adoption and lessons from successful industry leaders
Leading organisational change in people, data and systems, culture and structure, including structure, process and incentive changes with AI
Building a culture of AI-first thinking and innovation, and bridging the gap between AI experts and teams
Planning and managing AI projects across teams and functions: technology roadmaps and applying initial solutions rapidly
Integrating analytics and AI tools into strategic planning and aligning AI strategies with long-term business vision
Agentic AI: designing AI agents to support automation and workflow execution with human-in-the-loop governance
Scaling AI solutions for enterprise-wide impact and measuring AI ROI, including prioritisation despite missing data
Communicating the value of data-driven recommendations to stakeholders, and emerging trends shaping future strategies and digital transformation

Certificate

Upon successful completion of this training course, delegates will be awarded an official PetroKnowledge Certificate of Completion, signed by the course facilitator. The certificate confirms successful participation and records the total learning hours completed.
Continuing Professional Education credits (CPE): In accordance with the standards of the National Registry of CPE Sponsors, one CPE credit is granted per 50 minutes of attendance.

Accreditation

Would an alternative date be more suitable?

We offer a variety of tailored training options, customized to meet your organisation's needs. Delivered anytime, anywhere, we make it easy to bring expert training directly to your team.

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Artificial Intelligence (AI) and Analytics for Leaders, Managers and Professionals