
Map workflow states, transitions and error routes in Gemini Enterprise low-code tools
Set bounded system instructions and prompt examples; plan approved enterprise data access
Check ingestion and source evidence for audio, video and image inputs
Follow the support-workflow lab drill and complete a workflow specification with observed test results
Practice in a 12-question interactive exam trainer, flashcards and a match game
Configure coding-agent tools and scoped access using Antigravity and Model Context Protocol
Select a sandbox and check credential, network and repository boundaries
Validate refactoring, optimization and vulnerability patches with before-and-after test evidence
Distinguish skills, rules, hooks and subagents; document lifecycle steps using the Agents command-line interface
Complete a code-change runbook and lab drill, then use the 12-question exam trainer and study games
Record model selection against quality, latency, hosting and data constraints
Define an agent and a read-only tool using Agent Development Kit
Keep user sessions separate and specify permitted long-term memory in Memory Bank
Follow the custom-agent lab drill and record tool results, session isolation and memory scope
Complete the build specification, 12-question exam trainer, flashcards and match game
Specify a retrieval-augmented generation pipeline from approved source to verified answer
Check embeddings, retrieved passages, reranking and source versions
Record Agent Identity permissions and discover capabilities through Agent Registry and Model Context Protocol servers
Test a read-only database connection and a simulated software-as-a-service tool, including denied-access and timeout paths
Complete the integration specification and lab drill, then use the 12-question exam trainer and games
Distinguish Model Context Protocol tool connections from Agent2Agent communication
Define sequential dependencies, state keys and producer-to-consumer handoff schemas
Combine parallel branch results with explicit merge and partial-failure rules
Check graph routes, retry limits, registry destinations and authorized runtime execution in the lab drill
Save a handoff specification and use the 12-question exam trainer, flashcards and match game
Build a reviewed test dataset with expected responses, tool outcomes and edge cases
Evaluate response quality, retrieval evidence and action sequences before a release decision
Compare Agent Runtime, Cloud Run and Google Kubernetes Engine against workload requirements
Follow the deployment lab drill; inspect logs and traces, test a failure path and record rollback and cleanup
Complete the release evidence record, 12-question exam trainer and study games
Distinguish agent identity, delegated authorization and secure credential handling
Verify allow policies and principal access boundaries with allowed and denied calls
Check Agent Gateway routes, Agent Registry destinations and redacted audit evidence
Test Model Armor content controls and human approval boundaries in the security lab drill
Complete the governance specification, 12-question exam trainer, flashcards and match game
Review the hybrid certification structure and read scenarios for constraints and supporting evidence
Take the full 80-question mock with a 180-minute beta-style timer or a 120-minute general-availability practice timer
Review flagged questions, answer explanations, official sources and results by domain after submission
Calculate a course readiness diagnostic and prioritize study without treating it as Google's passing score
Record independent lab execution separately; use readiness flashcards and match games, and save your preparation plan
This course contains the use of artificial intelligence
Picking the right answer is one part of agentic architecture. Producing a working result is another.
Bring both into your preparation with video lessons, interactive exam trainers, study games, lab drills and a full timed mock exam.
A growing question bank can leave the same gap untouched: the agent sounds plausible, but its sources, permissions or execution have never been checked. Repeating familiar answers can conceal weak retrieval, unsafe tool calls and handoffs that fail outside the happy path. Each study session spent without checking those gaps postpones the practical work behind the certification.
Preparation becomes more concrete when every architectural choice has a record: a source, a permitted action, an observed result and a failure check. The course pairs scenario practice with workflow specifications and execution evidence, so a practice score and a lab result stay visible as separate signals. That record also gives a team something useful to inspect when reviewing an agent design or release.
Mike is the course author and founder of PapaHR Academy, where 170,000+ students have trained. His Udemy courses have reached 2,000,000+ students. These figures describe his education work across two separate platforms; they are not certification pass rates or evidence of a Google Cloud credential.
The eight-lesson route follows all five domains of the Professional Agentic Architect exam guide. First comes low-code workflow design and bounded coding-agent work. Next come custom agents, sessions, memory and enterprise knowledge, followed by multiagent coordination and operational evaluation. Security and governance lead into the final mock attempt and practical-readiness review. Each lesson has its own starting materials; the full mock and independent lab execution require additional time outside the video lessons.
The downloadable interactive Hypertext Markup Language (HTML) tools put practice and working records together in a browser. Seven exam trainers contain 12 original scenario questions each, with explanations for the correct answer and every alternative, official source references and missed-objective feedback. Flashcards and match games reinforce terms and decisions. Seven lab drills include a task, starter, expected result, failure check and cleanup checklist. Simulation, assisted execution and independent execution are recorded separately; the browser tools do not run cloud commands for you.
The full mock contains 80 original questions distinct from the lesson trainers, with flags, a review screen and feedback by domain. Its 180-minute beta-style mode follows the published approximate beta question count. A 120-minute general-availability practice mode uses the same 80 course questions; Google's exact final question count has not been published in the sources checked on September 30, 2026. Readiness scores are course study diagnostics, not official passing scores or a prediction of certification success.
This is a new certification: its multiple-choice beta window is September 8–30, 2026, and Google plans general availability for mid-November 2026. Certification requires both the proctored multiple-choice component and separate hands-on labs. Course drills are educational exercises, not Google's private assessed labs; all practice questions are original, with no exam dumps. Completing this course does not award the Google Cloud credential. This independent course is not affiliated with or endorsed by Google.
What's included:
Lifetime access to all course materials
Active instructor support in course questions and answers
Udemy Certificate of Completion
Eight video lessons covering the five exam domains
Seven interactive exam trainers with 84 original scenario questions and answer explanations
Flashcards and match games for every lesson
Seven practical lab drills with starters, evidence records and cleanup checks
A full 80-question timed mock exam with domain feedback and official source references
Workflow, coding, custom-agent, integration, handoff, release and governance forms
A readiness record and study plan that separate question performance from practical execution
The published exam scope already gives preparation a direction. A recorded attempt and one completed drill turn another week of unfocused revision into a specific next action.
Enroll now and start your first lesson today.