Google Cloud has released a comprehensive suite of 13 hands-on codelabs designed to help enterprise developers build, scale, govern, and optimize intelligent AI agents using the Gemini Enterprise Agent Platform and Agent Development Kit (ADK). As noted in the announcement, “Earlier this year, we introduced Gemini Enterprise Agent Platform, where you can build, scale, govern, and optimize agents,” and these practical demos translate those core capabilities into production-ready architectures. Built code-first, the hands-on tutorials guide teams through essential capabilities ranging from foundational conversational agents, event-driven approval workflows with human-in-the-loop oversight, and Model Context Protocol (MCP) data integration to dynamic Agent-to-UI frontends.
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In order to overcome production issues, developers get trained on how to use stateful agents on the Agent Runtime, create resilient state machines, and ensure enterprise-level security through the use of Agent Gateway, Model Armor, and mTLS governance stacks. In addition, the platform enables businesses to use LLM-as-judge evaluation flywheels and coordinate multi-agent pipelines using frameworks such as CrewAI and LangGraph through the Agent-to-Agent (A2A) protocol. Highlighting developer efficiency, Google Cloud emphasizes that “The best part? You don’t have to follow them step-by-step. Install Agents CLI into your favorite coding agent (Antigravity, Claude Code, Codex, whatever you use) and it instantly gets seven skills that make it an expert in ADK and Agent Platform.” By providing end-to-end patterns from early prototyping to full-scale governance Google Cloud equips enterprise engineering teams to seamlessly streamline, secure, and accelerate their agentic AI workflows.
