GCP Agentic Architect Exam Guide
AI agents have quickly become a major focus for Google Cloud. At Next ’26 in April, Google announced Gemini Enterprise Agent Platform, a comprehensive platform to build, scale, govern, and optimize agents, which the company describes as an evolution of Vertex AI. A few months later, Google followed it up with a certification built around these skills.
The Google Cloud Professional Agentic Architect certification is Google’s newest professional-level credential, and it’s currently open as a beta. In this GCP Agentic Architect Exam guide, we’ll walk through what the certification covers, who it’s for, how the agentic architect exam and labs work, and what to know about the beta before you register.
What Is the Google Cloud Professional Agentic Architect Certification?
The Professional Agentic Architect certification validates your ability to design, build, and run AI agents on Google Cloud. According to Google, a certified Professional Agentic Architect is a technical practitioner who designs and manages autonomous, AI-driven agentic workflows in Google Cloud, building agentic solutions while considering reliability, performance, cost, security, and scalability.
The certification goes beyond prompting and LLM basics. It covers the full lifecycle of an agent, from building it with low-code tools or code, to connecting it with enterprise data, coordinating multiple agents, testing it, deploying it to production, and keeping it secure.
It’s also a hybrid certification. You take a proctored exam first, and then complete hands-on labs. We’ll cover both parts in detail below.
Who Should Take the Professional Agentic Architect Certification?
The Professional Agentic Architect certification is a professional-level GCP agentic AI certification, so Google recommends at least three years of hands-on work with cloud solutions, covering everything from building and testing to deployment and management. At least one of those years should involve building agentic solutions on Google Cloud.
This certification is a good fit if you work in one of these roles and your work involves building AI-powered applications:
- AI or machine learning engineer
- Generative AI developer
- Cloud or solutions architect
- Software engineer
- Platform engineer
- Technical lead
- DevOps or MLOps professional
If you’ve worked with Vertex AI before, that experience still counts. Many of the tools covered in the exam come from the Gemini Enterprise Agent Platform launch, and several services were renamed along the way. For example, the exam guide lists Agent Runtime (formerly Agent Engine) and Agent Search (formerly Vertex AI Search).
Agentic Architect Exam Details at a Glance
| Detail | Information |
| Certification level | Professional |
| Exam cost | $120 during beta, $200 at general availability (plus tax where applicable) |
| Exam duration | 3 hours during beta, 2 hours at general availability |
| Exam format | Multiple choice and multiple select questions, followed by hands-on labs |
| Exam delivery | Online proctored or at a test center, delivered by Pearson |
| Language | English |
| Validity | 1 year |
| Prerequisites | None |
| Recommended experience | 3+ years in cloud, including 1+ year building agentic solutions on Google Cloud |
Source: https://cloud.google.com/learn/certification/agentic-architect
How the Agentic Architect Certification Works: Exam Plus Hands-On Labs
Most cloud certifications end once you finish the exam. This one has a second step.
Part 1: The Agentic Architect Multiple-Choice Exam
The multiple-choice exam assesses conceptual knowledge, system design choices, and architectural standards and is delivered by Pearson. This is where you show you understand how agentic systems should be designed and which tools fit which situations.
Part 2: The Hands-On Labs on Google Skills
The labs are delivered in Google Skills and validate hands-on execution and coding ability in an active cloud environment. You only get access to them after passing the exam. The estimated time to complete the labs is less than 5 hours, and once they become available, you have two months to complete them.
These labs are different from the ones in Google’s learning path. If you pass the multiple-choice exam, you’ll be asked to complete a separate set of labs that are distinct from those in the learning path.
The most important thing to remember is that you need both. Passing the multiple-choice exam alone does not grant certified status. You must pass both the exam and the hands-on labs to earn the credential and digital badge.
Agentic Architect Beta Exam vs GA: Which Should You Take?
What the Agentic Architect Beta Exam Offers
Google opens new certifications as a beta before releasing the final version. Beta exams contain a large pool of questions, and not all of them will meet the standards for the general availability (GA) exam. Google analyzes how the questions perform and uses that data to build the final exam.
Taking the beta comes with some benefits. According to Google, beta participants get early access to the new exam content, receive a 40% discount off the retail price, can give question-level feedback on the exam, and receive all certification benefits by passing a beta exam.
The trade-off is time. Because of the larger question pool, beta exams can take up to twice as long to complete as a final exam, and results take longer too.
Beta vs GA Exam Comparison
| Beta | GA | |
| Availability | September 8 to 30, 2026 | Mid-November 2026 |
| Cost | $120 | $200 |
| Exam length | 3 hours | 2 hours |
| Exam results | Late October 2026 | 7 to 10 business days |
| Hands-on labs | Late October to December 2026 | Two months after passing the exam |
Registration for the beta closes September 30, 2026, and the GA exam will be available to the public in mid-November. The GA version will follow the same two-part structure as the beta, with a 2-hour exam and official results in 7 to 10 business days.
Should You Wait for the GA Exam?
If you already meet the recommended experience and can prepare in time, the beta is a good way to save on the exam fee and get certified early. If you’re still building your hands-on experience, or you’d rather have faster results and a shorter exam, waiting for the GA release in November makes sense.
Why Is the Agentic Architect Certification Valid for Only One Year?
Most Google Cloud professional certifications stay valid for two years, but this one only lasts for one. Google’s reasoning is that agentic AI is moving fast, with frequent software updates and new developments in how these systems work. To help certified professionals keep up, Google plans to offer a continuous education path for maintaining an active status.
That makes sense for a field that’s changing this quickly. The tools covered in the exam were only announced this year, and many of them will likely keep evolving.
Since this is a brand-new certification, some details, including the validity period, could change after the beta ends and the exam moves to general availability. We’ll update this guide if Google makes any changes, and you can always check the official certification page for the latest information.
Professional Agentic Architect Exam Domains and Weightage
The exam is split into five sections. Here’s how they’re weighted:
Section 1: Building Agents Using Low-Code Tools (~13%)
This section covers building agents without writing every component from scratch. You’ll need to know how to configure state-based workflows using pages, transition routes, and event handlers in Gemini Enterprise tools such as Agent Designer and CX Agent Studio, and how to write system instructions and prompt templates that guide agent behavior. It also covers connecting agents securely to enterprise data and working with unstructured data like video, audio, and images.
Section 2: Using Coding Agents for Application Development (~17%)
Here the focus moves to AI-assisted software development. The exam guide covers configuring coding agents with MCP servers, custom skills, and access to tools, using coding agents in secure sandboxes such as GKE and Cloud Workstations, and using them to refactor code and patch application-layer vulnerabilities. You’ll also need to know how to customize coding agents for enterprise work using Antigravity and Agents CLI.
Section 3: Developing Custom Agents (~33%)
This is the largest section, making up about a third of the exam. It’s all about building agents in code, and it covers a lot of ground.
You’ll need to know how to choose the right language model for a use case, considering factors like cost and security. The exam guide mentions comparing LLMs and SLMs, self-hosted and SaaS options, and open-source and proprietary models. You’ll also build custom agents with the Agent Development Kit (ADK) and configure sessions and memory.
The section also covers bringing enterprise knowledge into agents through RAG pipelines and vector retrieval, including embedding models, similarity scoring, and reranking. Finally, it tests how you orchestrate multiple agents using protocols like MCP and Agent2Agent (A2A), and how you coordinate handoffs through parallel, sequential, and graph-based workflows.
Given its weight, this is the section most candidates should spend the most time on.
Section 4: Evaluating and Deploying Agentic Workflows (~22%)
Building an agent is only part of the job. This section covers testing and running agents in production. On the evaluation side, you’ll need to know how to create test sets using golden data, prompts, and edge cases, and build continuous evaluation pipelines that assess an agent’s tool execution.
On the deployment side, you’ll choose the right runtime for a workload, such as Agent Runtime, Cloud Run, or GKE. You’ll also need to troubleshoot common problems like drift, tool invocation latency, agent reasoning loops, and system failures, and monitor agents for performance, reliability, and cost.
Section 5: Securing and Governing Agentic Workflows (~15%)
Agents can access company data and take actions on their own, which makes security a big part of the certification. This section covers authentication and secure tool execution, such as agent-to-tool API calls using OAuth 2.0. It also covers setting up governance with tools like Agent Identity, Agent Gateway, Agent Registry, and Model Armor, and designing guardrails that include human-in-the-loop controls.
Key Google Cloud Tools for the Agentic Architect Exam
The exam guide lists the tools that are in scope for the exam. Here’s how they group together:
Agent development and runtime: Agent Development Kit (ADK), Agent Runtime, Agents CLI, Antigravity, Gemini Enterprise, Skill Registry, and agent evaluation tools.
Security and governance: Agent Identity, Agent Gateway, Agent Registry, Model Armor, Auth Manager (OAuth 2.0), and Sensitive Data Protection.
Protocols and integration: Model Context Protocol (MCP), MCP servers, and Agent2Agent (A2A).
Models and retrieval: Gemini LLMs, Model Garden, RAG Engine, Agent Search, Agent Retrieval, and Vector Search.
Data and infrastructure: BigQuery, Cloud Run, Cloud SQL, Cloud Storage, Firestore, GKE, Memorystore for Redis, and Google Cloud Observability.
Try the Whizlabs Free Practice Test for the Agentic Architect Exam
If you’re planning to take the Professional Agentic Architect exam, it helps to know where you stand before you book. Our free practice test for the certification is now live on Whizlabs.
Try the Free Practice Test
FAQs on the Google Cloud Professional Agentic Architect Certification
Can I get certified if I only pass the multiple-choice exam?
No. You need to pass both the multiple-choice exam and the hands-on labs to earn the certification and digital badge.
When will the agentic architect exam be generally available?
Google plans to release the GA version of the exam in mid-November 2026. The beta is open until September 30, 2026.
How much does the Professional Agentic Architect certification cost?
The beta costs $120, which is 40% off the regular price. Once the exam reaches general availability, it will cost $200, the same as other Google Cloud professional exams. Taxes may apply.
How long do I have to complete the labs?
Once the labs become available to you after passing the exam, you have two months to complete them. Google estimates they’ll take less than 5 hours.
Is this certification suitable for someone new to agentic AI?
It’s aimed at experienced practitioners. Google recommends 3+ years of cloud experience and at least a year building agentic solutions on Google Cloud. If you’re newer to the field, it’s worth building hands-on experience with agents first.
Conclusion
The Google Cloud Professional Agentic Architect certification is Google’s first credential focused entirely on building and running AI agents. It’s a hands-on, professional-level certification, and the one-year validity shows how fast this area is moving. Whether you’re taking the beta or waiting for the November release, now is a good time to see how ready you are. Start with the Whizlabs free practice test and find out where to focus next.
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