OneRange

Gemini: Mastery — API & AI Studio

An advanced course for prototyping and building with the Gemini API and Google AI Studio. Learners work in AI Studio, call the API, craft multimodal prompts, use function calling, and configure grounding and safety settings. They finish able to build real applications on Gemini.

What this course covers

The course runs across 12 topics, each one a short adaptive session rather than a recorded lecture. The tutor explains the idea, works an example, checks understanding, and adjusts the next step to the answer given.

  • Rapid Prototyping in Google AI Studio — Navigate the Google AI Studio interface, select models, and experiment with system instructions and temperature settings to prototype initial prompts.
  • Transitioning from AI Studio to the Gemini API — Obtain API keys, set up the SDK environment, and translate AI Studio prototypes into executable Python/Node.js code.
  • Designing Multimodal Prompts — Structure API calls that combine text, images, video, and audio inputs, managing token limits and payload structures for multimodal context.
  • Structuring Output with JSON Schema — Enforce strict schema constraints on Gemini API responses to ensure reliable downstream data parsing and application integration.
  • Implementing Function Calling: Defining Tools — Declare external APIs and databases as tools using JSON schemas, allowing Gemini to intelligently request function execution.
  • Implementing Function Calling: Executing the Loop — Parse the model's tool call requests, execute the local function, and pass the results back to Gemini to generate the final response.
  • Grounding Gemini with External Data — Connect Gemini to live data sources, Google Search, or custom knowledge bases to minimize hallucinations and provide real-time accuracy.
  • Configuring Safety Settings and Content Moderation — Adjust safety threshold categories (harassment, hate speech, sexually explicit, dangerous content) in both AI Studio and API calls.
  • Managing Context Caching and Token Optimization — Implement context caching for large documents or persistent system instructions to optimize API latency and reduce operational costs.
  • Handling API Rate Limits, Errors, and Retries — Build resilient application logic using exponential backoff, handling rate limits (TPM/RPM constraints), and managing API exceptions.
  • Fine-Tuning Gemini Models — Prepare training datasets, initiate tuning jobs in Google AI Studio, and deploy customized adapter models via the API.
  • End-to-End Application Deployment — Synthesize the course concepts by assembling a live, production-ready application integrated with Gemini's API, security protocols, and external tools.

Skills you build

Results are measured against named skills in the OneRange taxonomy of more than 10,000 skills, so a manager sees proficiency per skill rather than a completion tick. This course maps to Prompt Engineering, Llm Application Development, AI Application Development, AI Safety, Generative AI Concepts.

  • Prompt Engineering
  • Llm Application Development
  • AI Application Development
  • AI Safety
  • Generative AI Concepts

Who it is for

Developers, AI builders. The material is pitched at expert level, and takes roughly 180 minutes at a typical pace. Because every session adapts, someone who already knows a topic moves through it quickly instead of sitting through an explanation they do not need.

It sits in the Tool: Gemini track of the Vero AI Catalog, and can be assigned to one person, a team, or the whole company.

How it is delivered and assessed

Delivery is conversational and interactive, including guided lab, code lab exercises. There is no video to sit through and no slide deck to click past.

Understanding is checked with a code assessment of 5 items, with a pass mark of 70%.

Administrators can copy this course into their own library and adapt it — edit the outline, change the duration, swap the assessment format, or ground it in internal documentation so answers cite the company's own source material.

Also in this track

  • All Gemini training courses →
  • Gemini: Advanced — Power Workflows & Automation — This course fills the step between everyday fluency and building on the platform: running Gemini at an expert level without writing code. Learners design multi-step workflows, automate recurring work with Gems, Workspace automations, and Deep Research, and set personal systems that compound over weeks. They finish as the person on the team others come to for Gemini technique.
  • Gemini: Core — Google Workspace — This course goes deep on Gemini across Google Workspace. Learners use Gemini in Docs, Sheets, and Slides, in Gmail and Meet, and apply NotebookLM and Deep Research for grounded answers. The outcome is meaningfully faster, AI-assisted Workspace workflows.
  • Gemini: Essentials — Data & Analysis Playbook — A focused, 30-minute playbook for doing data and analysis work in Gemini. Learners run real tasks end to end - data cleanup, analysis, charts, and interpretation - and leave with repeatable workflows they can use the same day.
  • Gemini: Essentials — Everyday Work — This course applies Gemini to everyday knowledge work: email, documents, meeting prep, and quick research. Learners practice each workflow directly in Gemini and leave with daily habits, not just features.
  • Gemini: Intro — An absolute-baseline, 20-minute introduction to Google Gemini for first-time users. Learners see what Gemini is, how to open it (including inside Google Workspace), and how to send their first prompt. It gets total beginners started in minutes.
  • Gemini Essentials Proficiency — Measures whether someone can prompt Gemini for a usable first draft, bring in the right context, and judge the answer before it leaves their desk.
  • Gemini Mastery — Complete fluency in Gemini and Workspace AI

Related

Frequently asked questions

How long does this course take?

It runs roughly 180 minutes at a typical pace. Because every session adapts, someone who already knows a topic moves through it quickly instead of sitting through an explanation they do not need.

How is it assigned to a team?

An administrator assigns it from the Vero dashboard to one person, a team, a department or the whole company, and sees progress and results per person and per skill.

Can we customise it with our own documents and terminology?

Yes. Administrators can copy this course into their own library and adapt it — edit the outline, change the duration, swap the assessment format, or ground it in internal documentation so answers cite the company's own source material.

Course code TUL-GEM-301.