Select workshops to book your seats
Embedded critical and relevant skills/foundational knowledge/new frameworks, shifted mindsets better adapted to future-proofing, rehearsing high-stakes engagement (skills, strategy) in a low stakes and simulated environment tailored to Responsible AI development and adhering to RAI principles. Experience: interactive, outcome oriented, playful, relaxed atmosphere, focusing on direct and indirect learning. Results in strategy building, reflection, and collaborative growth.
"Build a working Voice AI Agent connected to a real phone number Understand telephony + AI integration architecture Learn how to handle production challenges (latency, call control, scaling, compliance) Deploy a real-world ready voice agent system This is not a theory session attendees will build and understand the complete working flow."
To take Java developers from "I can call an LLM API" to "I can build, secure, and deploy a production-ready AI agent" — covering the full agent lifecycle including persona design, retrieval-augmented generation, tool use, MCP, observability, and deployment on AWS.
To build an Ai application using fastapi and ollama
Learn how to build AI agents using Vibe Coding and take it to production using Amazon Bedrock AgentCore
Creating scalable and secure multi-agentic system embedded within application to support developer in building agentic system that actually provides value and not just hype
This workshop aims to equip participants with practical architectural patterns and hands-on experience for building enterprise-ready agentic AI systems
The primary objective is to deliver a high-impact, hands-on introduction to AI-native development. It aims to rapidly shift the mindset from manual coding to AI-augmented solution building, ensuring participants grasp the complete end-to-end flow—ideation, design, development, and deployment—within a highly compressed timeframe.
This hands-on workshop bridges the gap between theoretical agentic AI patterns and production-ready implementations. Attendees will move beyond "hello world" demos to build, debug, and evaluate AI agents using industry-proven patterns.
In the workshop, participants will understand the core architecture of an AI Agent (LLM + Tools + Memory)
