Agentic AI with AWS Bedrock

What you will learn:

Are you ready to go beyond basic AI demos and build production-grade intelligent systems? This is not another hello-world walkthrough. Simpliaxis brings you an exclusive, expert-led session on Agentic AI with AWS Bedrock, a 60-minute deep dive designed specifically for developers and engineers who want to architect and ship real agentic pipelines.

In this intermediate-level session, you will gain hands-on understanding of how to combine AWS Bedrock Knowledge Bases for grounded retrieval with Bedrock Agents for autonomous task execution, the two core building blocks of production-quality agentic systems on AWS.

Whether you are looking to move from prototype to production or want to understand how retrieval-augmented generation (RAG) and autonomous agents work together within Amazon Bedrock, this session gives you the architectural clarity and practical know-how to get there.

Stop building demos. Start building systems. Join the Agentic AI with AWS Bedrock session today!

Upcoming webinar starts in

Days

Hours

Min

Sec

09:00 am - 10:00 am (EDT)
May 06, 2026

Siddharth Sharma

Learn How to Architect and Deploy Production-Quality Agentic Pipelines on Amazon Bedrock in Just 60 Minutes.

About the Presenter:

Siddharth Sharma is a highly accomplished AI expert and Microsoft Certified Trainer with extensive experience in cloud technologies and AI-driven solutions. Siddharth specializes in building scalable AI systems, working with LLMs, and integrating intelligent automation into practical applications. With a strong background in training and consulting, he upskills professionals and organizations to utilize cutting-edge AI technologies for innovation and efficiency.

What Are the Prerequisites?

Basic familiarity with AWS SDKs, comfort with Python or JavaScript, and an understanding of REST APIs.

Who Should Attend?

This session is best suited for:

Software developers exploring AI integration
DevOps engineers looking to automate workflows
AI/ML engineers working with LLMs
Cloud professionals using AWS services
Tech leaders driving AI adoption
Business professionals exploring AI transformation
Freshers curious about Agentic AI and GenAI

What Will You Get?

Practical use cases and industry insights
Hands-on conceptual understanding of production-grade agent pipelines
Hands-on conceptual understanding
Future-ready skills in AI and automation
Participate in a Q&A session
Free resources, sandbox repo links, and learning materials

Why Join This Webinar

Program Outline

Why 'chat with an LLM' is not enough for real workflows
The agent mental model: perceive → reason → act → observe
What we are building: a grounded agent that retrieves from your data and calls tools

Architecture: S3, chunk, embed, vector store; sync on-demand/scheduled
Query: semantic/hybrid, filters, citations
Common Pitfalls
Code: RetrieveAndGenerate API with citations

How the ReAct loop works under the hood
Building blocks
Prompt engineering inside agents
Live Demo

When to use RetrieveAndGenerate vs. attaching KB directly to an agent
Handle tool errors with fallback design
Use CloudWatch + Bedrock trace logs
Cost controls: token limits, caching, async patterns

Natural upgrade paths: multi-agent collaboration, AgentCore for production scale
Guardrails: adding PII filtering and topic controls in ~10 lines of config
Resources: sandbox repo, AWS workshops, documentation links

Open floor for attendee questions
Share GitHub sandbox repo and AWS documentation links

Webinar Registration

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