10007 - AI for Oil and Gas: Executive Development Series
Course Description
Artificial intelligence is transforming business operations, workforce management, and regulatory frameworks. But for business leaders in highly regulated sectors—such as oil and gas—understanding AI’s applications, impact, and risks can feel overwhelming. You need a reliable AI G.U.I.D.E to help you navigate.
- How do you evaluate AI’s business opportunities without technical expertise?
- What ethical and compliance risks should your organization be preparing for?
- How can you ensure AI adoption aligns with governance best practices?
- Who is responsible for AI decision-making and accountability in your company?
Course Outline
Artificial intelligence is transforming business operations, workforce management, and regulatory frameworks. For leaders in highly regulated sectors like oil and gas, understanding AI’s opportunities, risks, and governance requirements can feel overwhelming. Without a clear strategy, organizations risk falling behind.
The AI G.U.I.D.E. Program—developed in partnership with Durham College’s AI Hub and the Northern Alberta Institute of Technology (NAIT)—is a six-week, non-technical online executive program designed specifically for Canada’s oil and gas sector. It equips executives, managers, and board members with the knowledge and tools to make confident, responsible AI decisions without requiring coding or data science expertise.
Guided by academic and industry experts, participants will master AI governance models, ethical frameworks, data strategies, and innovation lifecycles tailored to regulated environments.
Why Attend?
- Learn to design AI governance frameworks for oil and gas
- Identify high-ROI use cases in drilling, maintenance, and safety
- Gain strategies to manage ethical, legal, and compliance risks
- Earn a co-branded digital badge recognized across the sector (Durham College AI Hub & NAIT)
- Build networks with peers, industry leaders, and executives across Canada
Program at a Glance
Each 90-minute session combines applied AI theory, real-world case studies, and peer networking opportunities.
- Week 1: AI Foundations & Strategic Imperative
- Week 2: Introduction to AI Governance
- Week 3: Stakeholder & Societal Impact
- Week 4: Responsible & Ethical AI Considerations
- Week 5: Legal & Compli