Building on Bedrock: Mastering AWS AI Foundations

By Andrew Hall

Building on Bedrock: Build Production-Ready Generative AI Applications on AWS

Amazon Bedrock is transforming how developers build and deploy generative AI applications on AWS.

Building on Bedrock is your complete, hands-on guide to building scalable generative AI systems using AWS's powerful AI platform.

What You'll Learn
Getting Started with Amazon BedrockUnderstanding Bedrock architecture and core servicesSetting up IAM permissions and AWS environmentsConfiguring Boto3 and making your first API callUsing AWS CLI and SDKs effectivelyWorking with Foundation Models

Learn how to use leading AI models through Bedrock, including:

Anthropic ClaudeAmazon TitanStable Diffusion

Build real-world applications such as:

Sentiment analysis systemsCustomer support automationAI-powered content workflowsPrompt Engineering for BedrockDesigning prompts for consistent, high-quality outputsPrompt optimization and A/B testing strategiesScaling prompt workflows across enterprise applicationsText Generation & AI PipelinesBuild summarization and content generation systemsCreate batch-processing AI workflowsDevelop scalable Python-based AI applicationsImage Generation with Stable DiffusionGenerate and manipulate images using Bedrock APIsBuild AI-powered marketing and creative workflowsPost-process outputs using Python and PillowConversational AI & ChatbotsBuild intelligent AI assistants using Streamlit and BedrockManage sessions, context, and response orchestrationDeploy production-ready conversational applicationsRetrieval-Augmented Generation (RAG)Integrate Bedrock with Pinecone and FAISSBuild enterprise knowledge-base search systemsImprove accuracy and contextual AI responsesAI Agents & Autonomous WorkflowsBuild agentic AI systems using LangChain and BedrockImplement tool calling and multi-step task executionDesign intelligent automation workflowsFine-Tuning & Domain-Specific AIPrepare datasets for custom AI applicationsFine-tune models for specialized industriesDeploy AI solutions for legal, enterprise, and regulated use casesSecurity, Compliance & GovernanceIAM design and secure architectureEncryption, monitoring, and CloudWatch loggingAI governance and privacy best practicesHealthcare and compliance-focused deployment patternsScaling AI in ProductionLambda auto-scaling and inference optimizationCost control strategies for high-volume AI systemsMonitoring and performance tuning for enterprise workloads
Real-World End-to-End Projects

Inside the book, you'll build complete applications including:

AI-powered recommendation enginesFraud detection systemsEnterprise chatbotsKnowledge retrieval systemsProduction-ready AI workflows

All with fully working Python code and deployment guidance.

Who This Book Is ForAWS Developers and Cloud EngineersBackend Developers exploring Generative AIAI Application ArchitectsDevOps and Infrastructure TeamsEnterprise Technology Leaders

Basic Python knowledge and familiarity with AWS are recommended. No prior machine learning experience is required.

Build Faster. Scale Smarter. Deploy AI on AWS with Confidence.

Amazon Bedrock removes the infrastructure complexity from generative AI development.

This book removes the learning curve.

• Format: Paperback
• Language: English
• ISBN: B0FTFGFM13
• ISBN13: 9798267807661
• Release Date: September 2025
• Publisher: Independently Published
• Length: 74 Pages
• Weight: 0.24 lbs.
• Dimensions: 0.1" x 6.0" x 9.0"