Course Overview
This course provides a technical guide to enable Solution Architects to shift from building isolated chatbots to deploying persistent, Gemini Enterprise-enabled AI workers on Google Cloud. Participants will master agentic memory design, API-driven tool orchestration, and infrastructure governance using the Google Cloud Agent Platform—including the Vertex AI Reasoning Engine for persistent state management and Agent Extensions for departmental integration. Learners will move beyond "Instructional Hope" to technical enforcement, building the "Paved Road" required to orchestrate multi-agent fleets and secure non-human identities.
Who should attend
- Enterprise Architects: Who need to build a scalable, secure backbone for persistent, Gemini Enterprise-enabled AI workers.
- Systems Integrators: Tasked with connecting AI to legacy ERP/CRM data via secure, cross-departmental tool orchestration using the Google Cloud Agent Platform.
- IT Directors: Who need to move from "Project Thinking" to "Platform Thinking" to manage a global fleet of autonomous agents while maintaining governance and scalability
Prerequisites
- Completion of Organizing for AI Success.
- Foundational knowledge of Google Cloud (VPC, IAM, Cloud Run).
Helpful to be familiar with:
- Python basics
- REST API structures
- RAG concepts
Course Objectives
- Diagnose Agency Gaps: Strip out "Track A" conversational habits and map structural frictions.
- Architect the Engine: Deploy persistent, context-aware reasoning loops inside the Build Tier.
- Secure the Perimeter: Enforce Zero Trust patterns and runtime protections via the Govern Tier.
- Scale the Fleet: Mitigate reasoning drift and measure ROI using the Optimize & Scale Tiers.