£45.00

Databricks Certified Generative AI Engineer Associate Hands-On Exam Prep: Build a Real RAG + Agent System with the PawShield Case Study

Generative AI

Price data last checked 37 day(s) ago - refreshing...

View at Amazon

We'll watch every seller, every day. One email when your price arrives.

It has never been this cheap. We have no record of a lower price.

£45 today · cheaper than every other day in the last 2 months

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 25 days · 25 data points (no recent data)

Historical

Generating forecast…

Price Distribution

Price distribution over 25 days • 1 price levels

Days at Price

Price Analysis

Most common price: £45 (25 days, 100.0%)

Price range: £45 - £45

Price levels: 1 different prices over 25 days

Description

Written to the March 2026 Databricks exam guide. Most study guides walk the exam blueprint end to end, checking off features and terms as they go. You can prepare from a book like that — but you won't build anything. And the exam itself is a test of judgment: given a real business situation, which Databricks feature fits, and why is the second-most-obvious choice wrong? This book takes the other route. It follows a fictitious pet-insurance company, PawShield, through every layer of a production GenAI system: RAG retrieval, agent reasoning, batch extraction with ai_query, MLflow GenAI evaluation, AI Gateway governance, and production monitoring. You build two systems on the same Databricks primitives the exam tests on: PolicyPal, a RAG chatbot grounded in PawShield's policy library, and ClaimClerk, an agent that triages and extracts from inbound customer emails. A single claim — Sarah Chen's — runs the length of the book, from first retrieval to the live dashboard, so every feature lands inside a decision someone actually has to make. Over 500 practice questions — 400+ chapter quizzes plus two full-length mock exams 12 runnable Databricks chapter notebooks The complete dataset (policy PDFs, claim emails, vet invoices, support transcripts, and seven seed tables), bundled with the companion GitHub repo Every blueprint objective covered by something you've built, run, evaluated, and watched in production

Product Specifications

Format: paperback
ASIN: 1918744041
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning > Generative AI
Domain: Amazon UK
Release Date: 07 June 2026
Listed Since: 08 June 2026

Barcode

No barcode data available

Databricks Certified Generative AI Engineer Associate Hands-On Exam Prep: Build a Real RAG + Agent System with the PawShield Case Study

It has never been this cheap. We have no record of a lower price.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Architectures for the Intelligent AI-Ready Enterprise: Building real-world solutions with MongoDB

Azure Data Engineer Associate Certification Guide: A hands-on reference guide to developing your data engineering skills and preparing for the DP-203 exam

GitHub Copilot Certification Study Guide (Sybex Study Guide)

Agentic AI Unleashed: A guide to designing, building, and deploying autonomous AI systems (English Edition)

Hands-On RAG for Production: Design, Develop, and Deploy Production-Ready RAG Applications

A Practical Guide to Generative AI Using Amazon Bedrock: Building, Deploying, and Securing Generative AI Applications

AI Starts with Data: A Practical Blueprint for Trusted, Governed, Enterprise AI

Data Engineering with Google Cloud Platform: A practical guide to operationalizing scalable data analytics systems on GCP

Essential GraphRAG: Knowledge Graph-Enhanced Rag

Cracking AI Engineering Interviews: A Practical Field Guide to Coding, Systems, ML, and Engineering Judgment

Azure Data Engineering Cookbook: Get well versed in various data engineering techniques in Azure using this recipe-based guide, 2nd Edition

Building Generative AI-Powered Apps: A Hands-on Guide for Developers

Agentic AI with Microsoft Foundry: Design and develop intelligent AI solutions and autonomous agents with Microsoft's Agent Framework

Empowering the Public Sector with Generative AI: From Strategy and Design to Real-World Applications

Azure AI Fundamentals (Ai-900) Study Guide: In-Depth Exam Prep and Practice

Building AI Agents for Finance: Design & Deploy Financial AI Agents with Robust Architectures, Advanced Reasoning, and Python

Microsoft Fabric Analytics Engineer Associate Certification Companion: Preparation for DP-600 Microsoft Certification (Certification Study Companion Series)

Official Google Cloud Certified Professional Data Engineer Study Guide

Generative AI with LangChain: Build large language model (LLM) apps with Python, ChatGPT, and other LLMs

Data Engineering for Machine Learning Pipelines: From Python Libraries to ML Pipelines and Cloud Platforms

A Common-Sense Guide to AI Engineering: Build Production-Ready LLM Applications

Journey to Become a Google Cloud Machine Learning Engineer: Build the mind and hand of a Google Certified ML professional

Responsible AI in the Age of Generative Models: Governance, Ethics and Risk Management: 4 (Byte-sized Learning)

MC Microsoft Certified Azure AI Fundamentals Study Guide: Exam AI-900 (Sybex Study Guide)