Google Cloud AI and data track
Every question and every answer is checked twice before you see it.
A short road on Google Cloud: understand generative AI for business, then work with data on the platform.
See the roadmapAsk us which step to start with
Your roadmap
Follow the steps in order. Inside a step, choose the option that fits your platform or role. Open any card for its practice tests, study plan and what to take next.
- 1
Generative AI strategy
Generative AI strategy and business use, without deep coding.
- 2
Work with data
Everyday data tasks on Google Cloud: ingesting, analysing and managing data.
- 3
Add AI to data
Build LLM applications on a data platform.
Optional next step
Who this path is for
Business and technical learners on, or heading to, Google Cloud.
Roles this path points toward
- Data analyst
- Cloud data practitioner
- Product or programme manager on AI
- Junior data engineer
Common role titles. A certificate supports your application and does not guarantee a job.
Beyond our catalogue
- Google Cloud Professional Data Engineer
- Google Cloud Professional Machine Learning Engineer
Run by their providers. Check their sites for current requirements.
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Not sure where to start? Talk to us.
Tell us your background and goal and we will point you to the right first step.
Send us a messageeducation@bereadytechnology.com.auNot affiliated with, endorsed by or sponsored by any certification vendor or exam body. Certification names, exam codes and product names are trademarks of their respective owners and are used only to identify the exam a practice product prepares for. Our questions are original and are not actual exam questions. Exams and prerequisites change, so always confirm on the provider’s official site.