This course aims to provide industry professionals with a foundational and practical understanding of how Artificial Intelligence (AI) is transforming the Oil and Gas sector. Through structured modules, learners will explore AI concepts, data-driven decision-making, operational optimization, and future innovations, all contextualized with real-world applications from Canada, UAE, Oman, and beyond.

Learners will:

♦ Gain a conceptual and applied understanding of AI technologies used in exploration, production, and operations.

♦ Develop data literacy specific to Oil and Gas analytics, predictive maintenance, and digital transformation tools.

♦ Analyze real-time case scenarios to evaluate AI’s role in improving safety, efficiency, and environmental compliance.

♦ Build strategic thinking to plan for AI adoption, workforce readiness, and sustainable operations in a global context.

By the end of this course, participants will be able to:

♦ Define and contextualize Artificial Intelligence within Oil and Gas operations, including seismic analysis, predictive maintenance, and IoT systems.

♦ Identify and interpret key data sources and apply analytics for optimizing exploration, drilling, and production.

♦ Demonstrate understanding of AI-driven technologies such as digital twins, SCADA systems, robotics, and environmental sensors.

♦ Apply ethical and strategic thinking in integrating AI into clinical workflows, asset monitoring, and risk mitigation.

♦ Critically evaluate global case studies from ADNOC, Suncor, BP, and Shell to derive best practices and future planning strategies.

♦ Collaborate in AI-informed decision-making for maintenance, automation, and sustainability goals aligned with industry standards and regulatory compliance.

Module 1: INTRODUCTION TO AI IN OIL & GAS

♦ Overview of Artificial Intelligence & Machine Learning

♦ Key drivers of AI adoption in the energy sector

♦ Applications across exploration, drilling, production, and refining

Module 2: DATA-DRIVEN OPERATIONS & PREDICTIVE MAINTENANCE

♦ Understanding IoT, SCADA, and real-time data systems

♦ Predictive analytics for equipment monitoring and maintenance

♦ Data literacy: types, sources, and interpretation in Oil & Gas.

♦ Case insights: Upstream data strategy

Module 3: AI TECHNOLOGIES AND DIGITAL TRANSFORMATION TOOLS

♦ Digital twins, robotics, and remote operations.

♦ AI in seismic imaging, reservoir modeling, and process automation.

♦ Environmental compliance using AI-powered sensors.

♦ Case insights: AI implementation in offshore drilling

Module 4: STRATEGY, ETHICS & GLOBAL IMPLEMENTATION

♦ Workforce transformation and skill development for AI

♦ Ethical considerations and regulatory compliance

♦ AI for sustainability and decarbonization goals

• CEO of GreenPepper + AI - Over 18 years of experience driving innovation, talent acquisition, and digital transformation.
• Career Builder - Placed 3,000+ professionals in 200+ companies, focusing on tech roles.
• Digital Innovator - Led 150+ transformative projects enhancing business operations and user experiences.
• Generative AI Advocate - Conducted 50+ workshops for 2,000+ leaders across diverse sectors.
• Academic Collaborator - Partnered with IITs, IIMs, and others to advance Generative AI and leadership.
• Author and Speaker - Wrote Between Genes and Memes and Learning Revolution, sharing insights on platforms like Money Control.
• Life-long Learner - MBA in International Finance, 45+ MOOCs, and initiatives like The Great Indian Footprint expedition.