The Ultimate AI Masterclass for ADNOC managers and directors

Executive Summary

As part of ADNOC’s AI capability-building journey, Cognit delivered its flagship Ultimate AI Masterclass across three cohorts of managers, senior managers, and directors. Each cohort consisted of 25 participants and completed a five-day intensive learning experience covering more than 30 hours of AI knowledge, practical exercises, discussions, demonstrations, and project-based learning. In total, 75 leaders were trained.

The Challenge

ADNOC sought to build AI literacy and readiness among its leadership population, enabling participants to understand AI technologies, identify business opportunities, assess risks, and apply AI across operational and corporate functions.

Program Overview

The Ultimate AI Masterclass provided a comprehensive end-to-end understanding of artificial intelligence, from its history and technical foundations through Generative AI, prompt engineering, AI platforms, creative AI tools, and responsible AI.

Module 1 – Introduction to AI

What AI is, what it is not, common misconceptions, and the relationship between AI and Machine Learning.

Module 2 – History of AI

The evolution of AI from the 1940s to the present day, including major breakthroughs, AI winters, deep learning, and Generative AI.

Module 3 – Real-World AI Applications

Industry use cases with special focus on oil and gas, including exploration, geology, drilling optimization, predictive maintenance, computer vision inspections, production optimization, and supply chain forecasting, alongside examples from banking, healthcare, retail, education, manufacturing, and other sectors.

Module 4 – AI and Emerging Technologies

Exploring the intersection of AI with IoT, blockchain, cybersecurity, quantum computing, robotics, and digital twins.

Module 5 – Machine Learning Fundamentals

Supervised learning, unsupervised learning, reinforcement learning, and how machine learning systems are trained and deployed.

Module 6 – The AI Technology Stack

Covering hardware (GPUs, TPUs, LPUs, ASICs), frameworks (TensorFlow, PyTorch, Keras, Scikit-Learn), platforms (Azure, AWS, Google Cloud, OpenAI), models (LLMs, SLMs, vision and analytical models), and applications.

Module 7 – Introduction to Generative AI

Generative AI concepts, Large Language Models, differences between traditional AI and GenAI, and opportunities and limitations.

Module 8 – Generative AI in Oil & Gas

Practical applications of GenAI across engineering, operations, maintenance, field support, documentation, research, reporting, and knowledge management.

Module 9 – Prompt Engineering

Learning the principles and best practices for communicating effectively with AI systems.

Module 10 – AI for Everyday Productivity

Applying AI to ideation, project planning, research, presentations, spreadsheets, websites, social media campaigns, document analysis, legal review, and reporting.

Module 11 – AI Platforms and Application Development

Understanding AI platforms and how organizations can build AI-powered solutions and assistants.

Module 12 – AI Creative Tools

Hands-on exposure to image generation, video generation, and music generation tools including ChatGPT, Gemini, Nano Banana, Runway, Luma, and Suno.

Module 13 – Responsible and Ethical AI

Exploring AI governance, copyright, misinformation, workforce transformation, societal impact, economic implications, risks, and responsible AI principles.

Day 5 Innovation Hackathon

On the final day, participants were divided into teams and challenged to identify a real business problem from their own departments, teams, or operational environments. Using AI tools and methodologies learned throughout the program, teams defined the problem, researched potential approaches, designed a solution, developed a high-level solution architecture, created executive presentations, and built non-technical proof-of-concept prototypes. Each team presented its solution to the wider cohort, demonstrating how AI could be applied to solve real ADNOC business challenges. The hackathon served as a capstone experience that transformed theory into practical innovation.

Outcomes

Participants developed a practical understanding of AI, Generative AI, prompt engineering, and enterprise AI adoption. They gained the ability to identify AI opportunities, evaluate business value, understand technology ecosystems, and apply AI tools responsibly within their functions.

Impact

Three cohorts, 75 leaders trained, 15 training days delivered, more than 30 hours of learning per cohort, and a comprehensive curriculum spanning 13 modules plus a hands-on innovation hackathon.