Course Overview
Delivered in Partnership with Durham College and the Northern Alberta Institute of Technology , the AI G.U.I.D.E. Program tailored to the Oil & Gas Industry a six-week executive development course designed specifically for non-technical professionals in Canada’s Oil & Gas sectors. It provides the knowledge, tools, and strategic insights needed to confidently assess AI’s risks, opportunities, and governance requirements—without requiring any coding or data science expertise.
Understand AI’s business impact – Learn how AI is reshaping industries and business functions.
• Evaluate risks & opportunities – Identify AI’s benefits, risks, and governance strategies.
• Make informed decisions – Gain confidence in assessing AI-driven transformation.
• Engage with experts & peers – Join a community of professionals navigating similar challenges.
The program is built on five key pillars of responsible AI leadership:
Governance, Utilization, Innovation, Data, and Ethics (G.U.I.D.E.)—ensuring participants develop a well-rounded understanding of AI’s business, regulatory, and ethical considerations.
What You’ll Learn
• AI’s Strategic Importance – Identify key AI technologies, corporate use cases, and risks.
• AI Governance & Best Practices – Understand oversight frameworks and responsible AI policies.
• Regulatory & Ethical Considerations – Explore compliance trends and ethical challenges.
• Case Studies & Real-World Applications – Learn from successful AI governance models.
• Building Collaborative Networks – Connect with professionals shaping AI’s future.
Participants will earn a co-branded Digital Badge from Durham College The AI Hub & NAIT . To register for the upcoming session, please click on the following link:
10007 AI Is Reshaping Oil and Gas—Are You Ready? | The Durham College of Applied Arts and Technology
https://register.corporatetrainingservices.ca/search/publicCourseSearchDetails.do?method=load&courseId=1502817
Register here for the upcoming session
AI GUIDE for Oil & Gas Professionals
Browse ... Session 1: Introduction to AI in Oil & Gas
This session defines core AI concepts and clarifies differences between machine learning, data science, and automation—all within real-world O&G contexts. Participants learn how predictive, generative, and prescriptive AI tackle key industry issues (e.g., safety, costs, emissions). A practical case study and matching exercise link O&G challenges to specific AI approaches.
Session 2: The Strategic AI Playbook — From Pilot to Scale
This session guides O&G leaders in creating an AI roadmap for upstream, midstream, or downstream processes. It covers AI frameworks, feasibility analysis, and ROI measurement for O&G use cases. Participants also gain insight into generative AI, large language models (LLMs), and approaches to AI adoption and digital transformation. A hands-on activity and case study wrap up the session.
Session 3: Data Infrastructure & Pipeline in O&G
Focusing on the data pipeline crucial for AI success, this session covers IoT sensors, SCADA integration, and edge computing in remote fields. Participants explore O&G-specific data storage, management, and integrity. Real-world examples show best practices for ingesting, transforming, and governing operational data, building a solid foundation for impactful AI solutions.
Session 4: Responsible & Ethical AI — Regulation and Sustainability
In this session participants learn how O&G companies can use AI to cut emissions, monitor environmental impact, and strengthen net-zero emission initiatives. Topics include emerging regulations, carbon footprint metrics, and fairness in AI-driven decisions. Real-world examples highlight the balance between innovation and responsible governance.
Session 5: Engaging Stakeholders and Managing Societal Impact
This session focuses on collaboration and risk communication, exploring how AI affects everyone from regulators to local communities. Participants discuss best practices for stakeholder engagement—covering safety concerns, environmental responsibility, and data privacy. By examining real world cases, they learn to align diverse viewpoints for safe, efficient AI adoption.
Session 6: Future Outlook and Emerging Trends in O&G AI
Concluding the program, this session surveys the evolving role of AI in the oil and gas sector. Participants discuss topics such as advanced analytics for reservoir simulation, autonomous inspections of offshore platforms, and generative AI for technical documentation. They also learn about shifting regulatory demands and real-time decision-making tools, leaving with strategies to stay competitive, compliant, and adaptive amid rapid technological change.
