Energy
AI in Oil and Gas
Learn, in plain language, how artificial intelligence is used in oil and gas and how to judge it, with Alberta examples from public sources.
A practical place to begin.
Course information
Energy
Learn, in plain language, how artificial intelligence is used in oil and gas and how to judge it, with Alberta examples from public sources.
Course-specific learning outcomes, assessment requirements and verified learning hours will be published when the course review is complete.
Fees will be announced before enrollment opens.
Who this is for
People working in or near the energy industry who want to judge claims without a technical background.
Inside the course
Course content is in development and review, not available to learners yet. Only the authored material is listed below.
Module 1: Introduction: AI and the energy industry
- AI foundations: data, models and learning
- The value chain and where AI fits
Module 2: Data-driven operations and predictive maintenance
- Operational efficiency: scheduling, logistics and process
- Predictive maintenance: sensors, failure prediction, cost and safety
Module 3: AI technologies and digital tools
- Data-driven decisions: dashboards, data quality and limits
- Environmental sustainability: emissions monitoring and leak detection
Module 4: Strategy, ethics and implementation
- Safety, ethics and governance: human oversight and cybersecurity
- Case studies and your AI opportunity brief
How the course is designed
Orientation, lessons, practice and assessment are being prepared. Enrollment is not yet available.
Course requirements will be published before enrollment opens.
Before you begin
Enrollment not yet available
The online learner journey is being prepared and tested. This page does not reserve a place, take payment or provide learner access.
Course information is not a professional license or a guarantee of employment.
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