Research path

Guided course for grad students and researchers. 8 lessons, about 5 h 50 min.

For graduate students and researchers who want AI to speed up their work without weakening it. The course covers how models reason and fail, then literature search, data analysis and grounded answers, with verification at every step.

By the end, you'll be able to

Unit 1: How models think, and fail

Research use demands an accurate picture of what models can and can't do. This unit covers how they work, what reasoning models add, and the failure modes to plan for.

Unit 2: Research workflows

The core of the course: literature, data and your own documents. Each lesson pairs a workflow with the checks that make it trustworthy.

Unit 3: Writing and integrity

Close with writing: where AI helps a researcher's drafts, and the disclosure and integrity norms that apply to publications.

Capstone project: A verified literature map

Use AI tools to map the literature on a question from your field, and keep a verification log that shows every source was checked.