Building Gen AI Applications with Amazon Bedrock

Design, Build, and Scale Generative AI Solutions with Amazon Bedrock—End to End

Key Features
● Get a free one-month digital subscription to www.avaskillshelf.com
● Build real generative AI applications on Amazon Bedrock from scratch to production.
● Learn practical patterns for prompts, RAG, agents, and secure integrations.
● Deploy scalable, cost-efficient Gen AI systems on AWS with monitoring and guardrails.

Book Description
Amazon Bedrock enables you to build powerful generative AI applications on AWS without managing infrastructure. This book, Building Gen AI Applications with Amazon Bedrock, is a practical guide to creating production-grade GenAI systems, from your first model invocation to applications that are secure, observable, and cost-aware.

You will learn how foundation models fit into modern software engineering, and how to design solutions such as chatbots, summarization tools, image generation, and personalized experiences—without disrupting your existing stack. As you progress, you will discover how to select and evaluate models, decide when to use prompting, RAG, or agents, and design workflows that perform reliably under real-world conditions.

You will also integrate Bedrock into existing architectures, implement guardrails and evaluation loops, and scale confidently without performance or cost surprises. Working with models such as Anthropic Claude and Amazon Titan will enable you to see how disciplined engineering turns generative AI from a demo into dependable business value. Thus, by the end, you will be ready to build and operate GenAI systems on Bedrock with clarity!

What you will learn
● Build production-ready generative AI applications on Amazon Bedrock.
● Select, evaluate, and compare foundation models with confidence.
● Design robust prompts, structured outputs, and tool integrations.
● Implement RAG pipelines with grounded, verifiable responses.
● Develop agentic workflows with guardrails and safety controls.
● Scale GenAI systems with monitoring, evaluation, and cost discipline.

Who is This Book For?
This book is tailored for software engineers, solution architects, data scientists, ML engineers, DevOps engineers, and technical managers building generative AI applications on AWS. It is ideal for professionals integrating LLMs, RAG pipelines, and AI agents into production systems using Amazon Bedrock. A basic understanding of AWS services, cloud architecture, and modern application development is recommended, but no prior experience in deep learning research or model training is required.

1. Getting Started with Amazon Bedrock
2. Setting Up Your Environment
3. Foundational Models in Amazon Bedrock
4. Developing Generative AI Solutions
5. Integrating Bedrock with Existing Workflow
6. Scaling Generative AI Applications
7. Advanced Use Cases and Industry Applications
8. Future of Generative AI with Bedrock
Index

Syed Kadar Ansari Syed Ahamedis an engineering leader building data-intensive, AI-enabled platforms at production scale. He focuses on practical generative AI—where models meet governance, security, and reliability. This book guides engineers to use Amazon Bedrock to design, evaluate, and ship real-world AI systems—clearly, safely, and without hype.

About the Technical Reviewer
Vivek Arora is a Senior Technical Trainer, Consultant, and Author with over 14 years of professional experience in cloud computing, DevOps, Site Reliability Engineering (SRE), observability, and applied Artificial Intelligence (AI). He has extensive hands-on expertise and experience with AWS cloud services, cloud-native architectures, automation, and large-scale enterprise platforms.

Vivek has delivered corporate training and consulting engagements for global organizations across multiple geographies, helping teams design, build, and operate reliable and scalable systems. His work spans DevOps, DevSecOps, monitoring and observability platforms, as well as Generative AI technologies, with a strong focus on practical implementation and real-world use cases.

Jatinder Singh is a seasoned technology professional with over two decades of experience driving digital transformation and leveraging cutting-edge technologies, including Artificial Intelligence (AI) and Machine Learning (ML). As a Senior Technical Account Manager at Amazon Web Services (AWS), Jatinder leads efforts to modernize legacy systems, optimize performance, and design innovative cloud-native solutions. His expertise spans solution architecture, enterprise architecture, data security, governance, and cloud financial management with a strong focus on delivering actionable insights through data-driven analysis.

Jatinder’s career began as a mainframe systems developer and progressed through leadership roles in ETL and business intelligence. His progression into big data analytics and cloud computing deepened his expertise in using data to drive business insights and optimize cloud solutions.

A sought-after public speaker, Jatinder has delivered presentations at numerous industry events and contributed to various technology publications, sharing his knowledge and insights with the broader technical community. Based in Virginia, USA, he is known for his ability to lead cross-functional teams and drive successful project implementations, while ensuring adherence to best practices and budgetary constraints.