Agent Mastery — Google Cloud / GCP
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Build agents with Google ADK and Gemini Enterprise Agent Platform, connect governed MCP tools, compose multi-agent systems and deploy with IAM, evaluation and observability.
Learn the shared agent architecture once, then build independently in Claude, Microsoft Copilot and Google Cloud/GCP — including tools, MCP servers/resources, memory, orchestration, evaluation, security, deployment and a working application/system.
Benchmark: Official vendor agent-building documentation and workshops (current Sep 2026)
Mastery Ladder
Build with ADK
ADK agents, instructions, tools, sessions/state and local development; workflow agents vs dynamic orchestration; multi-agent composition; Gemini models, retrieval/grounding and deployment choices.
MCP + Registry + A2A
Google Cloud remote MCP servers and custom MCP publishing; Agent Registry for agents, skills and MCP toolsets; dynamic discovery; A2A/remote agents, authentication and Agent Gateway policy mediation.
Deploy + Govern
Agent Engine/Runtime, Cloud Run/GKE deployment and scaling; evaluation of task trajectories, tracing, latency, errors and token spend; IAM, VPC/service perimeters, content filtering, secrets, monitoring and cost controls.
Official Learning / Build Resources
Vertex AI Agent Builder / Gemini Enterprise Agent Platform docs
Agent Development Kit overview
MCP servers overview
Agent Registry client libraries and ADK
Resolve agents and MCP toolsets with ADK
Authenticate Agent Registry tools/resources
Hands-On Build Lab — Build Sequence
- 01 – ADK starter: Create a Python/TypeScript ADK agent with clear instructions, session/state handling and one local function tool.
- 02 – Grounding + memory: Add approved enterprise/public context; define session memory behavior and source/uncertainty handling.
- 03 – MCP: Connect a Google Cloud remote MCP server or publish/connect your own; authenticate and inspect tool schemas/behavior.
- 04 – Registry + multi-agent: Register/discover an agent or MCP toolset; compose a parent orchestrator with a specialized remote/sub-agent using ADK/A2A patterns.
- 05 – Security: Use IAM/service accounts/ADC, least privilege, secrets and gateway/policy controls; test denied and malformed requests.
- 06 – Evaluate + observe: Create task/trajectory evals; inspect traces, latency, errors, token spend and tool-selection failures.
- 07 – Deploy: Deploy through the appropriate managed runtime/Cloud Run/GKE path; add autoscaling, monitoring, release/rollback and cost guardrails.
Build Lab Resources
Google ADK documentation
Google Cloud MCP overview
Agent Registry orchestration guide
Functional System Capstone
Build a functional GCP agentic system with ADK that uses grounded context, calls a remote or custom MCP toolset, composes at least two specialized agents or one remote A2A agent, authenticates through IAM, passes trajectory/task evaluations, emits operational telemetry and is deployed to a cloud runtime with rollback and runbook evidence.
Proof Rubric
- Working ADK architecture
- correct session/state behavior
- MCP tool discovery
- registry/A2A composition
- IAM correctness
- least privilege
- useful evals
- diagnosable traces
- reliable failure handling
- deployability
- latency/token/cost evidence
- secure secret handling
- production readiness and a clear architecture decision record