AWS Generative AI Architect Bootcamp Full Day
A full-day architecture and certification-readiness bootcamp for senior developers and architects who want to design production-ready generative AI systems on AWS using Amazon Bedrock, Agents, RAG, Guardrails, Evals, Observability, Security, and Cost Controls.
Amazon Bedrock gives you access to models, agents, knowledge bases, guardrails, and evaluations. But production readiness comes from architecture: identity, evidence, tool authority, evals, observability, cost controls, and safe failure.
Core learning outcomes
By the end of the bootcamp, participants will be able to:
- Explain the AWS GenAI architecture stack across Bedrock, Knowledge Bases, Agents, AgentCore, Guardrails, Evaluations, and supporting AWS services.
- Design a production RAG architecture using Bedrock Knowledge Bases, S3, vector storage, metadata, and evidence validation.
- Design agentic workflows using Bedrock Agents, AgentCore concepts, Lambda tools, IAM, approval gates, and audit trails.
- Apply Bedrock Guardrails to inference, RAG, and agent workflows.
- Define evals for model quality, RAG quality, retrieval correctness, tool safety, and regression testing.
- Design observability for prompts, retrieved sources, model outputs, tool calls, latency, errors, cost, and escalation.
- Apply IAM, AgentCore Identity, Secrets Manager, KMS, CloudTrail, and least-privilege controls to AI systems.
- Optimize AI workloads for cost, latency, reliability, and operational readiness.
- Recognize common anti-patterns in AWS GenAI architectures.
- Prepare for certification-style AWS GenAI architecture questions and production design scenarios.
About Rohit Bhardwaj
Rohit Bhardwaj is a Director of AI & Data Architecture at Salesforce, where he focuses on enterprise AI, agentic systems, cloud-native architecture, distributed systems, data platforms, security, and large-scale transformation.
Over his career, Rohit has designed and led complex enterprise platforms across AWS, Google Cloud, microservices, real-time data, API ecosystems, resilient distributed systems, and AI-enabled architectures. His work increasingly focuses on the challenges enterprises face as software evolves from deterministic services to AI-native and agentic systems—particularly around reliability, governance, evidence, security, observability, cost, and safe autonomy.
Rohit is the author of System Design with AI Interview Guide: Designing Scalable, Agentic, and Defensible Systems, published by Apress. The book presents a modern approach to system design covering scalability, distributed systems, AI architecture primitives, security, reliability, economics, agentic systems, and real-world architectures including e-commerce, ride sharing, payments, fraud detection, messaging, video streaming, file storage, and search. (Springer Link)
Book:
Amazon: https://a.co/d/09Zs1twa
Publisher / Springer Nature: https://link.springer.com/book/10.1007/979-8-8688-2782-2
O'Reilly: https://learning.oreilly.com/library/view/system-design-with/9798868827822/
Rohit is also an O’Reilly instructor and a frequent speaker at technology conferences including No Fluff Just Stuff, UberConf, GIDS, and other international events. His talks focus on practical architecture lessons from building and operating complex systems, including AI control planes, trusted agents, inference at scale, evidence-first RAG, AI security, distributed-system failure, and AI-era software architecture.
As a trusted advisor and architecture leader, Rohit works at the intersection of business strategy and deep technical architecture—helping teams translate complex business problems into scalable, resilient, secure, and economically sustainable systems.
Rohit holds an MBA in Corporate Entrepreneurship from Babson College and graduate-level education in Computer Science from Boston University and Harvard University.
Connect with Rohit:
LinkedIn: http://linkedin.com/in/rohit-bhardwaj-cloud
X / Twitter: @rbhardwaj1