
Building the Agentic Enterprise: Agentic AI on Google Cloud
Building the Agentic Enterprise is a practical field guide to taking agentic AI systems from pilots toward governed production, using Google Cloud and ADK as its practical lens. Its coverage ranges from architecture, orchestration, context and security to AgentOps, evaluation, platform engineering and human accountability. The listing describes an experienced technical audience and expects familiarity with software systems, cloud platforms and APIs.
At a glance
- Uses Google Cloud and ADK to frame a continuous production-oriented case study.
- Covers single- and multi-agent architecture, orchestration, context, memory, security and guardrails.
- Distinguishes AgentOps platform health from EvalOps decision quality.
- Addresses governance, audit evidence, platform engineering and human oversight as systems scale.
- Listing says print or Kindle purchases include a free PDF eBook.
Reference price: $54.99
Price checked: Nov 14, 2026
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Pros and cons
Pros
- Broadly connects agent design with security, evaluation, governance and operating models rather than treating the model as the entire system.
- The case-study and architecture focus may help teams reason about production trade-offs and the move beyond prototypes.
- Python familiarity is described as helpful but not required.
Technical specifications
9 specifications| Publisher | Packt Publishing |
|---|---|
| Publication date | September 28, 2026 |
| Edition | 1st |
| Language | English |
| Print length | 774 pages |
| ISBN-10 | 1807604454 |
| ISBN-13 | 978-1807604455 |
| Weight listed | 2.88 pounds |
|---|---|
| Dimensions | 7.5 x 1.75 x 9.25 inches |
What to know before buying
- The book is positioned for readers with a general understanding of modern software systems, cloud platforms and APIs. The listing gives Google Cloud and ADK as its practical lens, so readers seeking a provider-neutral or beginner-level introduction may find the scope less aligned.
Who is it for?
A good fit for
- Enterprise and solution architects planning governed agentic AI deployments.
- Applied AI engineers, cloud consultants and AI platform teams working to move agent systems beyond pilots.
- Technical directors, principal engineers and engineering leaders shaping operating models and human oversight.
Less suited to
- Readers without a general grounding in software systems, cloud platforms and APIs who need a fundamentals-first introduction.
- Buyers looking primarily for a provider-neutral guide or a narrowly focused coding tutorial.
Customer reviews on Amazon
- 5 stars
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The supplied rating information is uniformly five-star, but comes from a small number of ratings and includes no written feedback. It offers only a limited signal about reader satisfaction and does not establish how readers assess the book's Google Cloud focus, technical depth or production guidance.
Frequently asked questions
What does the book cover?
The listing describes coverage of agent architectures, orchestration, context and memory, security and guardrails, workflow deployment, state persistence, AgentOps, EvalOps, platform engineering and operating models.
Is it focused on a specific cloud platform?
Yes. The description says Google Cloud and ADK provide the practical lens for a continuous case study.
Who is the intended reader?
The listing names enterprise and solution architects, technical directors, principal engineers, applied AI engineers, cloud consultants, platform teams and engineering leaders. It expects general knowledge of software systems, cloud platforms and APIs.
Does the listing promise a digital companion?
It states that purchasing the print or Kindle book includes a free PDF eBook. Check the selected format and listing details before purchase.
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