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Introduction to Gemini API

by Google AI Team · Google Cloud

4.5
(3,200 reviews)
80K+ enrolled3 hoursUpdated 2025-02

Our Verdict

Worth it — with caveats

Introduction to Gemini API is a worth-it-if-you-can-find-it pick: a free, beginner-level course on Google's own training platform (cloudskillsboost.google, which now redirects to skills.google) that teaches you to call Google's Gemini multimodal models from code for text generation, image and video understanding, and function calling, but whose exact listing we could not verify is still live post-migration. The catalog framing (free, ~3 hours, beginner, completion certificate) is reasonable, and the topics map directly to documented Gemini API capabilities verified on ai.google.dev: text generation, multimodal input, and function calling via the Google Gen AI SDK for Python. Important caveat from our independent check: as of June 2026 we could not locate this exact course (template 928) or its '4.5 / 3,200 reviews' figure in the current skills.google catalog or any search index after Google's platform migration, so the specific syllabus, rating, and review count are unverified and the course may have been renamed, merged, or retired under this URL. The skills it covers are genuinely useful and current, but if you click through and the page no longer shows this exact title, treat Google's newer 'Gemini for Application Developers' track or the official ai.google.dev quickstart as the live equivalents.

The subject matter (Gemini API basics: text, multimodal, function calling, Python Gen AI SDK) is valuable, current, and free to start, and it comes straight from Google. We recommend it conditionally rather than unconditionally because we could not verify that this specific course (template 928) is still live under this title/URL after the cloudskillsboost.google to skills.google migration, nor could we confirm the catalog's 4.5 rating or 3,200 review count from any primary source. Take it if the official page loads with this content; otherwise use the listed Google-native alternatives.

Best for: Developers, data scientists, and technical product builders who already know basic Python and want a short, free, vendor-authored on-ramp to calling Gemini models from code, specifically for text generation, multimodal (image/video) understanding, and function calling. It suits people who prefer learning a specific provider's API hands-on over broad ML theory, and who value a free completion certificate from Google for their developer profile.

Skip if: Complete non-programmers (the API work assumes comfort reading and writing Python), people seeking deep machine-learning or LLM fundamentals rather than one vendor's SDK, and anyone who needs a rigorous, accredited, or job-market-recognized credential. Also not ideal if you specifically want a free, fully assessed 'skill badge' here: on Google Skills the free tier yields completion badges, while challenge-lab skill badges generally require credits or a subscription. Learners who want a provider-neutral foundation should start with a general ML/GenAI course instead.

About This Course

Build applications using Google's Gemini multimodal AI models for text, code, image understanding, and function calling.

What You'll Learn

How to authenticate and make basic text-generation calls to Gemini models using the Google Gen AI SDK for Python (e.g., generate_content)
How Gemini handles multimodal input, sending text together with images and video for understanding and analysis
How to define function declarations and use function calling so the model can trigger external tools/actions and return structured parameters
How to extract and execute function calls from model responses and feed results back in multi-turn conversations
Core prompt and request-configuration patterns (system instructions, model parameters) for building Gemini-powered applications
Where Gemini fits in Google's GenAI stack (Google AI Studio / Gemini API vs. Vertex AI) as a starting point for real apps

Prerequisites

  • Basic Python programming (reading and writing simple scripts)
  • Familiarity with REST APIs / SDK usage and JSON
  • A Google account; for hands-on API work, a Gemini API key from Google AI Studio (free tier available to start) or Google Cloud access
  • No prior machine-learning theory required (course is application-focused, not fundamentals)

Instructor

Google AI Team

Instructor · Google Cloud

Pros & Cons

Pros

  • Free to start and authored by Google itself, so the API guidance reflects the vendor's own recommended SDK and patterns
  • Tightly scoped and short (catalog lists ~3 hours), focused on the three highest-value Gemini skills: text generation, multimodal understanding, and function calling
  • Topics are current and verifiable against official ai.google.dev documentation, not abstract theory, you learn the actual API you'd ship with
  • Beginner-friendly entry point that still leads to genuinely production-relevant capabilities (function calling, multimodal) used in real apps
  • Completion certificate/badge available on the free tier for a developer learning profile

Cons

  • We could not verify this exact course (template 928) is still live under this title/URL after Google's cloudskillsboost.google to skills.google migration; the page may now redirect, be renamed, or be merged into a newer Gemini track
  • The catalog's 4.5 rating and 3,200 reviews could not be confirmed from any primary source (platform, Class Central, or Reddit), so treat those numbers as unverified
  • Vendor-specific and narrow: it teaches Google's API, not transferable ML/LLM fundamentals, and covers a single provider's ecosystem
  • Free tier typically gives a completion badge only; the more credible challenge-lab 'skill badge' usually requires Google Skills credits or a subscription

Alternatives To Consider

Frequently Asked Questions

Is Introduction to Gemini API free?

Yes — Introduction to Gemini API is free to access. Free to take with a Google account. The Gemini API itself offers a free tier via Google AI Studio to experiment, with paid usage beyond free limits. Note that on Google Skills the free tier generally awards a completion badge/certificate; timed challenge-lab 'skill badges' typically require purchased credits or a subscription.

Who is Introduction to Gemini API for?

Developers, data scientists, and technical product builders who already know basic Python and want a short, free, vendor-authored on-ramp to calling Gemini models from code, specifically for text generation, multimodal (image/video) understanding, and function calling. It suits people who prefer learning a specific provider's API hands-on over broad ML theory, and who value a free completion certificate from Google for their developer profile.

What will you learn in Introduction to Gemini API?

How to authenticate and make basic text-generation calls to Gemini models using the Google Gen AI SDK for Python (e.g., generate_content); How Gemini handles multimodal input, sending text together with images and video for understanding and analysis; How to define function declarations and use function calling so the model can trigger external tools/actions and return structured parameters; How to extract and execute function calls from model responses and feed results back in multi-turn conversations.

What are the prerequisites for Introduction to Gemini API?

Basic Python programming (reading and writing simple scripts); Familiarity with REST APIs / SDK usage and JSON; A Google account; for hands-on API work, a Gemini API key from Google AI Studio (free tier available to start) or Google Cloud access; No prior machine-learning theory required (course is application-focused, not fundamentals).

Is Introduction to Gemini API worth it?

The subject matter (Gemini API basics: text, multimodal, function calling, Python Gen AI SDK) is valuable, current, and free to start, and it comes straight from Google. We recommend it conditionally rather than unconditionally because we could not verify that this specific course (template 928) is still live under this title/URL after the cloudskillsboost.google to skills.google migration, nor could we confirm the catalog's 4.5 rating or 3,200 review count from any primary source. Take it if the official page loads with this content; otherwise use the listed Google-native alternatives.