Google Cloud Generative AI Leader
Gen AI Leader cert track
- Level
- Foundation
- Time
- ~20 hr
- Modules
- 5
- Status
- Planned
Prep scope
Strategic and architectural framing of generative AI on Google Cloud. Vertex AI, Gemini, RAG patterns, governance, responsible AI. The credentialed signal for BakedIn's Gemini-routed video pipeline (Nano Banana Pro via OpenRouter).
Cert track · BakedIn parallel courses
BakedIn cert-prep guides being authored against the same exam blueprint. Validated by Glen passing the cert from the BakedIn content.
BakedIn Gemini + Vertex AI Strategy
Pairs to the GCP Gen AI Leader strategic scope. Vertex AI architecture, Gemini model family, when to choose Gemini vs Claude vs open-source. Backed by BakedIn's multi-provider model selection discipline.
BakedIn Multi-Cloud Image + Video Pipeline
Pairs to the architecture-decisions scope. Static images on AWS Bedrock (SD3.5 + Claude Sonnet Vision audit). Video on OpenRouter routing Google's Gemini 3 Pro Image (Nano Banana Pro) with Gemini Flash audit. Two-cloud cost discipline, illustrated-style continuity preserved.
BakedIn GenAI Governance on GCP
Pairs to the responsible AI scope. Governance frameworks applied to Gemini-routed work. Direct map to BAMF assertion library on the GCP side.
How this prep is built
Each cert prep guide on this site is authored via the same BakedIn content pipeline that produces the Getting Ready for AI pathway: ingestion of vendor source material, structured synthesis with citations, generated practice items, and evaluations against the exam blueprint.
The methodology was proven by hand on four earlier certs (CISSP, CISM, CISA, CRISC). AI learning engineering is what scales it across the guides currently in flight.
Guide content is still being authored. This is a roadmap page, not a finished product.