Put what you have learned in this course into practice with the structured exercise below. Working through it end-to-end is the single best way to consolidate the concepts.

Exercise: Google Gemini Api in the Real World

Pick one realistic scenario from your own work, study, or curiosity and apply the techniques covered in earlier lessons. Aim for a small, completable artifact — a notebook, a working script, a written design, or a side-by-side comparison.

Suggested Workflow

1. Frame the goal: write a one-sentence problem statement that the techniques in this course can address.
2. Pick the right tool: revisit the lessons above and choose the specific method, model, or pattern that best fits.
3. Build an MVP: produce the simplest version that proves the approach works. Keep it small.
4. Evaluate: how did it perform? What surprised you? What broke?
5. Iterate: refine one decision (prompt, parameter, tool) and re-evaluate.

Self-Check Questions

• Could you explain the chosen approach to a teammate in under two minutes?
• Where might this break in production? What guardrails would you add?
• What is the next thing you would try if you had another day?

Stretch Goal

Document your run as a short write-up. Compare against alternative approaches and note the trade-offs.

This practice loop converts passive reading into durable skill — the exact transfer-of-learning step most learners skip.

Concrete Starter Project: Build a Grounded News Summarizer

Goal: Build an API endpoint that accepts a topic, searches Google News via Gemini grounding, and returns a summary with source citations.

Steps:

1. Set up a Node.js or Deno project and install @google/genai.
2. Create a summarizeNews(topic: string) function that calls gemini-2.5-flash with the googleSearch tool enabled.
3. Extract the groundingMetadata.groundingChunks to build a source list.
4. Return { summary, sources } from the function.
5. Test with 5 different topics and verify the sources are legitimate and recent.

Extend it:

• Add context caching for a system instruction that defines the summary format so it is not re-processed on every call.
• Compare grounded vs. non-grounded responses on time-sensitive topics.
• Build a simple HTML page that displays the summary with clickable source links.

What you will learn: How Gemini's grounding, context caching, and structured output features combine to produce a production-quality information retrieval pipeline.