Description
Use AI Well. Judge It Honestly. Keep the Wrong Data Out.
Energy professionals are being asked to evaluate, procure, and supervise AI systems they were never taught. EE399 removes that asymmetry: not by making you a data scientist, but by making you fluent, able to direct AI tools on real utility work, verify their output, and protect sensitive information while doing so. Every concept is taught through grid and energy examples, and every module ends with hands-on practice on free, browser-based tools.
What you will learn
- Making Sense of AI: what these systems are, what they can and cannot do, and the vocabulary every product conversation uses.
- How Language Models Work: tokens, context windows, and why AI invents facts, so you can predict failures before they cost you.
- Prompting and Direction: a repeatable method for getting professional-grade drafts, summaries, and analysis on the first pass.
- Getting Real Work Done: documents, summaries, data tables, diagrams, and charts, each with the check that makes it safe to ship.
- The AI Tool Landscape: assistants, research tools, document notebooks, and coding help, and a five-second method for matching tool to task.
- Using AI Safely and Responsibly: verification, data protection, critical infrastructure awareness, and the judgment that stays human.
- Going Further: APIs, connected AI, simple workflows, and your 90-day plan.
Course format
- Seven modules of short video units, approximately 8 hours total, fully self-paced
- A professional Reading Companion for every module, with worked examples and check questions
- Hands-on assignments using free tools already in your browser
- Module quizzes plus a comprehensive final assessment; 70 percent passing standard
- LinkedIn-shareable certificate of completion
- No prerequisites: built for engineers and non-engineers across power, generation, renewables, distribution, and markets
Continue to the Core: EE399 is the on-ramp to the GIEE AI in Energy curriculum. Graduates continue to EE400 and the Core courses, where fluency becomes technical depth.
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