TL;DR: Google Cloud Skills Boost (formerly Qwiklabs) is Google’s official training platform, and its standout feature is hands-on labs: real, temporary access to actual Google Cloud consoles where you run Gemini and AI/ML exercises instead of just watching videos. Subscriptions cost $29/month or $299/year, with a genuine free tier and monthly free credits for lighter users. It’s Google-centric by design — you won’t learn rival tools here — but for hands-on AI and cloud skills, there’s nothing quite like the real-console experience.
What Google Cloud Skills Boost is
Skills Boost is Google’s own learning platform, built from the Qwiklabs acquisition. It offers courses, “quests,” and structured learning paths across cloud computing, data analytics, machine learning, and generative AI — including GenAI paths covering Gemini for developers, generative AI apps on Google Cloud, and Gemini Code Assist. Courses run from absolute beginner to certification prep for exams like Associate Cloud Engineer and Professional Machine Learning Engineer.
The differentiator is the hands-on lab: instead of a video telling you how a cloud AI service works, you get temporary credentials for a real Google Cloud console and follow a guided exercise — no personal credit card, no surprise cloud bill. Finish labs and quests and you earn skill badges, shareable on LinkedIn as proof of hands-on competence rather than video completion.
Pricing: what you actually pay
| Option | Price | What you get |
|---|---|---|
| Free tier | $0 | Free courses, labs, and quests; Innovators program members get 35 free credits per month for paid content |
| Monthly subscription | $29/month | Unlimited access to the full catalog — all courses, labs, quests, and badges; auto-renews |
| Annual subscription | $299/year | Same unlimited access, effectively ~$25/month — saves about 14% vs. monthly |
| Pay-as-you-go credits | $1 per credit | One-time access to individual paid courses/labs (intro courses ~1–5 credits, advanced up to ~30) |
The credit math is worth doing: if you only want one short course, a few dollars of credits beats a $29 month. But if you’re working through a multi-course GenAI path or prepping for a certification, the monthly subscription quickly wins. Watch the auto-renew — subscriptions renew automatically, so cancel before the next billing date if you’re done.
What’s good
- Real hands-on labs, zero cloud-bill risk. Temporary real-console access means you practice on the actual Google Cloud environment — this is the single biggest reason to choose Skills Boost over video-only platforms.
- Official Google curriculum. The GenAI paths teach Google’s own AI products (Gemini, Vertex AI) the way Google intends them to be used — directly relevant if you want Google Cloud certifications.
- Genuinely useful free tier. Free courses plus 35 monthly credits via the Innovators program is enough for meaningful casual learning without paying.
- Skill badges with real proof-of-work. Badges are earned by completing hands-on labs, not watching videos — employers can reasonably infer you did the work.
- Structured paths beat random tutorials. The domain-specific learning paths (AI/ML, data, security) give beginners a coherent sequence instead of a pile of disconnected videos.
What’s not so good
- Google-only worldview. You’ll learn Gemini, Vertex AI, and Google Cloud — not ChatGPT, Copilot, or AWS. The concepts transfer, but the specifics don’t. One source put it bluntly: don’t come here to learn ChatGPT.
- Hands-on labs burn credits fast. Free monthly credits run out quickly if you’re doing several labs a week; the free tier is a taste, not a meal, for serious learners.
- Somewhat certification-oriented. A lot of content funnels toward Google Cloud certifications (the Professional ML Engineer exam itself costs $200), which is great if that’s your goal and noise if it isn’t.
- Auto-renewal and credit expiry fine print. Standard subscription gotchas — set a calendar reminder if you subscribe for a short burst of learning.
Pros and cons at a glance
Pros: real-console hands-on labs; official Google AI curriculum; solid free tier with monthly credits; proof-of-work skill badges; structured learning paths.
Cons: Google-only ecosystem; free credits run out fast; exam and content skew toward certification; watch auto-renewal.
Who it’s best for
Beginners who learn by doing and want hands-on AI skills on Google’s stack — especially anyone eyeing a Google Cloud certification or a job at a Google-cloud shop. Start free, burn the monthly credits on GenAI labs, and only subscribe when you’re committed to a full path. If you want vendor-neutral AI literacy or university-style theory, pair it with edX or IBM SkillsBuild instead.
FAQ
Is Google Cloud Skills Boost free?
Partially — many courses and labs are free, and the Innovators program gives 35 free credits per month for paid content. Full unlimited access requires the $29/month or $299/year subscription.
What was Qwiklabs?
Qwiklabs was the hands-on lab platform Google acquired; it’s now the engine behind Google Cloud Skills Boost. Same concept: temporary real-console access for guided exercises.
Do I need a credit card for the free tier?
No — you can sign up and use free content and monthly credits without paying. The labs use temporary Google-provided credentials, so there’s no risk to your own cloud billing.
Can I learn ChatGPT or Microsoft Copilot here?
No. The platform teaches Google’s AI products (Gemini, Vertex AI) and Google Cloud. The underlying concepts transfer, but for rival tools you’ll need another resource.
Our verdict
Google Cloud Skills Boost is the best hands-on option in this price range for one reason: real-console labs with zero billing risk. The $29/month subscription is fair value for structured learning and cert prep, and the free tier is generous enough to tell you whether the platform suits you before spending anything. Just go in with eyes open about the Google-only worldview — this is Google’s classroom, teaching Google’s tools.
Prices checked 2026-10-05 and can change — confirm on the platform’s site before buying.