Agentic AI with AWS Bedrock

Training description

This 40-hour program enables technical teams to design, build, and scale production-grade AI agents and RAG applications using AWS Bedrock and leading agentic frameworks. Participants learn the end-to-end lifecycle of AGI applications—from use case discovery and design patterns (reflection, tool use, planning, multi-agent systems) to deployment, evaluation, and guardrailing in enterprise environments.​

Through intensive labs, learners work with LLMs, Bedrock knowledge bases, Langflow, and Python notebooks to build SDLC and DevOps copilots, multi-agent systems, and secure AI workflows that integrate with cloud services, MCP-based APIs, and Kubernetes. The program is designed for developers, cloud and ML engineers, architects, and technical managers who want to inject Agentic AI into SDLC, DevOps, SRE, and product operations while achieving measurable ROI from enterprise AI agent implementations.

Target audience

Technical Personas - Software developers, Cloud engineers, Architects, ML Engineers, Data scientists, Technical Delivery & Presales managers, Engineering Mgrs, Technical Project Managers

Intended learning outcomes

1. Understand e2e lifecycle of AGI apps incl AI Agents & RAG Apps, from use case discovery, design, development to deployment and scaling

2. Build AI Agents and RAG Apps with hands-on python coding and AWS Bedrock tools, Langflow

3. Learn the AI engineering techniques used by high scale AI assistant products focussed on SDLC