Advanced Gemini: Build Reliable Research and Analysis Workflows

Gemini can help you research complex questions, analyze information, and create polished workplace outputs. But reliable results require more than a strong first response. You need a process for choosing trustworthy evidence, controlling what Gemini produces, protecting sensitive information, and checking the result before you use it.

In this course, you’ll build a complete no-code Gemini workflow for a complex workplace task. You’ll ground research in approved sources, turn verified information into a structured decision brief, test the workflow with synthetic data and challenging inputs, and package the finished process for safe reuse.

What you'll learn: 

  • Ground research in reliable evidence: Define the decision, set an evidence boundary, trace important claims to their sources, and document unsupported or conflicting information.
  • Control Gemini’s outputs: Specify the audience, format, required fields, source rules, and human-review flags needed for a consistent workplace result.
  • Verify facts and analysis: Check claims, numbers, labels, interpretations, and recommendations against the approved source material.
  • Test a reusable workflow safely: Use synthetic data to test ordinary requests, missing information, ambiguous inputs, and unintended changes after revision.
  • Package the workflow for recurring work: Save a reusable prompt template, required inputs, output structure, test cases, and verification checklist.
You do not need to write code, but you should already be comfortable entering prompts and reviewing Gemini’s responses. This is a beginner-friendly course, but even experienced users will learn something new.
  • 46.5m of video instruction
  • 3 lessons
Patrick Jones - Course author
Meet YOUR instructor

Faithe Day, Ph.D.

Faithe helps non-technical professionals understand AI without the jargon. Her lessons focus on practical workflows, clear explanations, and building confidence with modern tools at work.