Generative AI Leader
CertificationTwo days to the Google Cloud Generative AI Leader standard. Fundamentals, the Google offering, improving output, and business strategy — with a full mock exam.
Program Fee
Offer ends: 8/31/2026
1-on-1 doubt clearing · WhatsApp group · Post-training Q&A
Request Syllabus / Call BackProgram Overview
The Generative AI Leader exam is business-focused and scenario-based: it asks what you would recommend, not what a service is called. These two days are built to that standard, weighted the way the exam is weighted. Day one covers generative AI fundamentals for decision-makers and — the largest domain — Google Cloud’s AI offerings: Gemini, Vertex AI, AI Studio, Agent tools, and where each belongs in a business. Day two covers improving output through grounding, RAG and prompting at a strategy level, then business strategy: responsible adoption, security, governance and return on investment. It closes with a full timed mock exam and worked answers. No coding required.
What You'll Learn
- Explain generative AI fundamentals at the level a leader needs
- Map Google Cloud’s AI offerings and place each one correctly
- Choose between AI Studio and Vertex AI for a business scenario
- Explain grounding, RAG and prompting at a strategy level
- Apply responsible AI principles to a business decision
- Address security, governance and data residency
- Build a return-on-investment case for a generative AI initiative
- Answer scenario-based exam questions on business judgement
- Sit the Google Cloud Generative AI Leader exam with confidence
Who Can Join
- •Heads of department and senior managers
- •Strategy executives and consultants
- •Product managers
- •Anyone sitting the Google Cloud Generative AI Leader exam
PREREQUISITES
• None
• Business or leadership responsibility is helpful
• No coding required
Curriculum
→ Core concepts
→ Foundation models
→ Data types
→ Limits
→ Lab 0
Total: 14h across 8 modules
Tools & Technologies
Projects Included
- ▹ Lab 0 — Fundamentals verified against the exam domains
- ▹ Lab M01 — The Google offering mapped to business scenarios
- ▹ Lab M02 — AI Studio versus Vertex AI, decided and defended
- ▹ Lab M03 — An agent solution scoped for a business function
- ▹ Lab M04 — Grounding and RAG applied at strategy level
- ▹ Lab M05 — A responsible, secure adoption plan
- ▹ Lab M06 — A return-on-investment case
- ▹ Lab M07 — A full timed mock exam with worked answers
Official Certifications
Assessment is continuous and practical: 8 Applied Learning Labs (60%) and an end-of-course practical assessment (40%). Passing mark 80%, plus completion of all 8 labs and full attendance. The CertTulen Course Completion Certificate is awarded on meeting that standard.
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