Certifications5 min read

OCI Generative AI Professional Notes

Field notes from earning the 1Z0-1127-25 certification and how it informs real-world enterprise AI delivery.

I recently earned the 1Z0-1127-25 Oracle Cloud Infrastructure Generative AI Professional certification. Here are the notes I keep referring back to during client work.

Key Domains

  • Architecture: OCI Data Science, GPU shapes, and networking patterns for secure multi-tenant deployments.
  • Model Lifecycle: Fine-tuning, evaluation, and deployment pipelines across OpenAI, Cohere, and custom models hosted on OCI.
  • Security & Compliance: Vault integration, audit, and IAM policies that align with regulated industries.

Practical Takeaways

The exam reinforced patterns we use daily—especially around hybrid workloads that span on-prem DGX clusters and OCI regions. The emphasis on observability, metrics, and guardrails mirrors what enterprise stakeholders expect in production.

How It Shapes Delivery

  • Blueprint designs now include explicit OCI reference architectures by default.
  • Runbooks call out service limits, failover strategies, and cost levers unique to OCI.
  • Security conversations accelerate because we can translate certification objectives into design controls.

Certifications don't replace experience, but pairing both lets clients move faster because the fundamentals are already vetted.

Victor Gebarski

Enterprise AI architect delivering private/sovereign AI, cloud modernisation, NVIDIA blueprint launches, and data flywheel operations. 1Z0-1127-25 Oracle Cloud Infrastructure Generative AI Professional certified.

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