Generative AI
Gemini
Gemini (Google), multimodal, Workspace integration.
15 minutes€19.99
Before starting, we run a 1-minute tech check — microphone, ambient noise, connection. If your setup isn't good enough, the test is fully refunded.
About the Gemini badge
Show recruiters you actually know Gemini — Google's multimodal AI — with a certified badge earned in a 15-minute AI-powered oral exam.
The Plume Gemini badge certifies your ability to work with Google's Gemini ecosystem in real professional settings. Over 15 minutes, an AI examiner (OpenAI Realtime) probes your hands-on knowledge of Gemini 1.5 Pro and Flash, the long-context window (up to 1 million tokens), native multimodal capabilities (text, images, audio, video, PDFs), and deep integration across Google Workspace (Docs, Sheets, Gmail, Meet). The exam adapts in real time to your answers — pushing harder where you're confident, pivoting where you're not.
A self-declared 'Gemini' skill on LinkedIn means nothing on its own. The Plume badge is different: it's based on a live adaptive oral assessed by Claude Opus, which reads the full transcript and outputs a 0-100 score with a certified level (Novice, Proficient, Advanced, or Expert). You get a detailed breakdown by evaluation dimension, a private audio recording, and a shareable link you can drop into a job application, a LinkedIn post, or a client proposal — instantly showing what you can actually do with Gemini.
This badge is built for anyone who uses — or is building with — Gemini professionally: marketers generating multimodal content at scale, developers calling the Gemini API from Python or Node, data analysts querying BigQuery in plain English with Gemini Advanced, and consultants automating Google Workspace workflows. Whether you're gunning for a promotion, pitching a client, or breaking into an AI-focused role, the Gemini badge gives you a concrete, objective proof point that no checkbox on a resume can match.
What this badge evaluates
Here are the concrete dimensions the AI examines during the 15-minute oral.
Gemini model lineup
Knowing when to use Gemini Nano, Flash, Pro, or Ultra — weighing cost, latency, context length, and on-device vs. cloud deployment for each scenario.
Long-context window
Leveraging up to 1 million tokens of context to analyze entire codebases, lengthy PDFs, or full-length videos in a single API call without losing coherence or relevance.
Native multimodal inputs
Combining text, images, audio, and video in a single prompt for tasks like slide deck analysis, commented video transcription, chart interpretation, or document Q&A.
Google Workspace integration
Using Gemini inside Docs (drafting, summarizing, transforming content), Sheets (natural-language formulas, data analysis), Gmail (smart replies), and Meet (automatic meeting notes).
Gemini API and Google AI Studio
Building API calls with Python or Node SDKs, tuning generation parameters (temperature, top-k, top-p), using Grounding with Google Search, and managing safety settings and content filters.
Gemini Advanced and extensions
Connecting Gemini Advanced to Google Drive, Maps, Flights, and YouTube via extensions, and understanding the tradeoffs between extension-based access and direct API integration.
Multimodal prompt engineering
Writing effective prompts for mixed-modality inputs, using few-shot examples with image+text pairs, and structuring outputs as JSON or Markdown via system instructions.
Safety, privacy, and responsible use
Understanding Gemini's safety filters, data handling differences between Workspace and the consumer API, and identifying potential hallucinations or biases in model outputs.
How this badge is scored
Final scoring is performed by Claude (Anthropic), which reads back the full transcript and applies this weighted criteria grid.
Hands-on Gemini proficiency
30% of scoreAbility to describe real workflows using Gemini (Workspace, API, AI Studio), cite specific features with accuracy, and distinguish between model variants based on actual use-case requirements.
Multimodal prompt engineering
25% of scoreSkill in crafting prompts for multi-modal inputs, using system instructions, few-shot examples, and grounding to produce reliable, well-structured outputs across text, image, and video tasks.
Google AI ecosystem knowledge
20% of scoreUnderstanding the differences between Gemini Nano/Flash/Pro/Ultra, the various access tiers (free AI Studio, Vertex AI, Gemini Advanced), and how Gemini connects with BigQuery, Vertex, and AppSheet.
Critical thinking and limitations
15% of scoreAbility to spot when Gemini is the wrong tool, detect hallucinations, interpret safety filter behavior, and navigate data-privacy constraints in an enterprise context.
Clarity and communication
10% of scoreFluency in explaining technical concepts (context window, token limits, top-k sampling) to non-technical audiences and backing up every claim with concrete, specific examples.
How the oral exam unfolds
A Plume session takes about 20 minutes, from tech check to badge delivery.
- Step 1
Tech check (1 min)
The AI confirms your mic is working and the environment is quiet. It walks you through the format: 15 minutes, spoken questions only, no screen share needed.
- Step 2
Warm-up — your Gemini setup (2 min)
The AI examiner asks how you use Gemini day-to-day: which plan or tier (AI Studio, Gemini Advanced, Workspace), what types of tasks, and roughly how long you've been using it.
- Step 3
Deep dive — multimodality, API, and Workspace (10 min)
The core of the exam covers the long-context window, multimodal prompt design, Workspace integrations, the Gemini API (parameters, SDKs, grounding), Gemini Advanced extensions, and data safety considerations. Difficulty scales live based on your responses.
- Step 4
Scenario challenge (2 min)
You're given a concrete scenario — for example, analyzing a 300-page PDF alongside a set of product images in a single Gemini 1.5 Pro API call. You walk through your approach, model choice, key parameters, and potential pitfalls.
- Step 5
Score and badge (immediate)
Claude Opus analyzes the transcript and generates your score (0-100), certified level, and a detailed breakdown report. Your shareable badge link is ready within minutes.
The 4 proficiency levels
Your score out of 100 translates into a level a recruiter can grasp at a glance.
Novice
Score 0-39You use Gemini mainly at gemini.google.com for straightforward text prompts, without tapping into multimodal features, extensions, or the API. You're not yet clear on the differences between model versions and haven't integrated Gemini into any Google Workspace tools.
Proficient
Score 40-59You work with Gemini Advanced and its extensions (Drive, Gmail, YouTube) and use Gemini inside Docs and Sheets for everyday tasks. You understand context windows conceptually and apply basic prompt engineering techniques like few-shot prompting and simple system instructions.
Advanced
Score 60-79You build with the Gemini API via Google AI Studio or Python/Node SDKs, tune generation parameters, use Grounding with Google Search, and design multimodal prompts combining text, images, and long documents. You can clearly articulate when to use Gemini Flash vs. Pro and why.
Expert
Score 80-100You deploy Gemini in production on Vertex AI, optimize costs across model variants, integrate Gemini into RAG pipelines with custom grounding, and manage safety settings and enterprise data policies at scale. You design and ship automated Workspace workflows that go far beyond off-the-shelf features.
Who this badge is for
No degree or years of experience required to take the badge. Here are the profiles it makes the most sense for.
Digital marketing professional
You're already using Gemini to produce multimodal content — texts, image analysis, video summaries — and you want a credential that proves it during interviews or performance reviews.
Developer or AI engineer
You're integrating the Gemini API into applications and want to validate your fluency with SDKs, generation parameters, grounding, and multimodal input handling.
Data analyst or data scientist
You use Gemini Advanced to query datasets in plain English, generate Python or SQL code, or analyze BigQuery reports, and you need a recognized credential to back that up.
Google Workspace consultant or project lead
You automate business processes through Gemini in Docs, Sheets, and Gmail, and your clients want objective proof of your actual skill level before handing over the keys.
Self-taught AI learner or career switcher
You've built your Gemini skills through Google AI Studio, online courses, or personal projects, and you need an objective signal to stand out against candidates with more traditional credentials.
Concrete use cases
Where and how your Gemini badge will help you day to day.
Tech job interview
A hiring manager asks for proof of hands-on generative AI experience. You share your Gemini badge link with your score and detailed report — far more convincing than a line on a resume.
Consulting proposal
You're responding to an RFP from a company migrating to Google Workspace with Gemini. Your Advanced or Expert badge gives the client confidence you can configure the tools and train their teams.
Salary negotiation
You're asking for a raise based on your AI automation contributions. The Plume badge gives you a numerical score to anchor the conversation in something objective rather than subjective.
Internal AI enablement
You're the go-to AI person on your team. You use the badge framework to benchmark each team member's Gemini level before designing a targeted upskilling plan.
Freelance profile
You add your Gemini badge to your freelance profile or portfolio site to attract contracts around Google Workspace automation or Gemini API development.
Career pivot into AI
You're moving from a generalist role into AI Product Management or AI Ops. An Advanced or Expert Gemini badge shows you have the technical substance to collaborate credibly with engineering teams.
Prerequisites
A few minutes to check you have everything you need.
- At least a few weeks of hands-on experience with Gemini — whether via gemini.google.com, Gemini Advanced, or the API.
- Familiarity with basic prompt engineering concepts (roles, instructions, few-shot) in any LLM.
- A working microphone and a quiet space for the 15-minute exam.
- A Google account (Workspace or personal) and direct experience with Gemini inside at least one Google product.
- For Advanced or Expert: prior work with Google AI Studio or the Gemini API (Python SDK, REST, or Node).
What you take away
At the end of your session you don't just get a score — here's everything that awaits you.
Certified score (0-100) + level
Get a precise score and an official level (Novice, Proficient, Advanced, or Expert) based on Claude Opus's analysis of your full transcript — a real measurement, not a self-assessment.
Detailed breakdown report
A structured report across all 5 evaluation dimensions (hands-on proficiency, multimodal prompt engineering, Google ecosystem knowledge...) with clear strengths and specific areas to improve.
Private audio recording
Your exam audio is stored securely and stays private by default. You decide if and when to share it — no third-party access without your explicit consent.
Instantly shareable badge link
A public link to your Gemini badge, ready to paste into LinkedIn, an email signature, or a job application. The page shows your score, level, and certification date.
Frequently asked questions about the Gemini badge
The exam focuses primarily on Gemini 1.5 (Pro and Flash), which is the most widely deployed generation at the time of writing. Gemini 2.0 features — like Flash Thinking, native image generation, and native audio output — may come up if you mention them, but they're not yet the core of the assessment. The AI adapts to what you actually know.
Other Generative AI badges
Discover related skills you can validate with Plume.
Ready to take the Gemini badge?
A 15-min oral exam with an AI, a shareable badge for your recruiters.
Choose this badge · €19.99