Claude with Google Cloud Vertex AI

Advanced

Enterprise Claude on GCP. Service accounts, VPC Service Controls, Cloud Logging, BigQuery grounding, CMEK and per-project cost attribution.

1 Day / 7 HoursAI & Generative AILive online with recordings · On-site · Private cohort

Program Fee

$1,200

1-on-1 doubt clearing · WhatsApp group · Post-training Q&A

Request Syllabus / Call Back

Program Overview

Running Claude through Vertex AI puts it inside your Google Cloud governance perimeter, which is the whole point — and it changes how you build. You enable Claude in Model Garden, work the regions and quotas, and make your first call through the Vertex endpoint, mapping what ports from the direct API and what does not. You then wire it in properly: service accounts with least privilege, VPC Service Controls as a perimeter around model access, Cloud Logging and Monitoring, and secret management for credentials the model must never see. The build module grounds Claude on your actual data — BigQuery, Cloud Storage and vector search — and covers tool use, streaming, batch prediction and fitting into Cloud Run or GKE. It closes on governance, CMEK and per-project cost attribution.

What You'll Learn

Enable Claude in Vertex AI Model Garden and make your first call
Work regions, quotas and the Vertex endpoint request shape
Map what ports from the direct API and what does not
Configure service accounts with genuine least privilege
Apply VPC Service Controls as a perimeter around model access
Instrument with Cloud Logging and Cloud Monitoring
Manage secrets the model must never see
Ground Claude on BigQuery, Cloud Storage and vector search
Run batch prediction for high-volume, low-urgency work
Fit Claude into Cloud Run, GKE and Cloud Functions
Apply CMEK, and attribute cost per project

Who Can Join

•Cloud engineers and solution architects
•Google Cloud platform teams
•Developers deploying Claude inside a GCP estate
•Anyone with a data residency or governance requirement

PREREQUISITES

• Working knowledge of Google Cloud

• Comfortable with IAM and networking concepts

• Some experience with the Claude API is helpful

Curriculum

→ Why Vertex AI

→ Enabling Claude

→ Your first call

→ Differences from the direct API

→ Lab 0

Total: 6h 59m across 4 modules

Tools & Technologies

Vertex AIModel GardenBigQueryCloud StorageVertex Vector SearchIAMVPC Service ControlsCloud LoggingSecret ManagerCMEK

Projects Included

▹ Lab 0 — Claude enabled in Vertex AI, first call made
▹ Lab M01 — Service accounts, VPC-SC and logging configured
▹ Lab M02 — A tool-using application grounded on BigQuery data
▹ Lab M03 — Enterprise readiness: governance, encryption and cost controls

Official Certifications

Course Completion Certificate — issued by CertTulen Academy.

Course Completion Certificate — issued by Anthropic.

Exam — Not applicable.

Assessment is continuous and practical: 4 Applied Learning Labs (60%) and an end-of-course practical assessment (40%). Passing mark 80%, plus completion of all 4 labs and full attendance. The CertTulen Course Completion Certificate is awarded on meeting that standard.

Questions? Contact us for a free counseling session.

Have questions about this course?

Send us your details — we'll respond within 24 hours.

Chat with us