Amazon Web Services (AWS) is a leading cloud and AI platform providing the infrastructure, models and services organizations need to build, train and deploy AI applications and agents securely at scale.
Times are local to Barcelona (CEST).
A conversation on how Belvo is applying AI while operating in a regulated financial environment. We’ll explore how teams balance speed with secure engineering practices, adapt to constantly changing data sources, and set safe boundaries for increasingly autonomous systems.
Building an AI agent is the easy part. Getting it to production — authorized, observable, debuggable, and scalable — is the real engineering challenge. In this hands-on workshop, AWS Solutions Architects and specialists walk you through the key building blocks of Amazon Bedrock AgentCore. You'll scaffold an agent with the AgentCore CLI, connect it to tools (MCP servers, APIs, knowledge bases), wire up identity-aware access control, and deploy it — all within a provided AWS sandbox environment and without managing infrastructure. Bring your curiosity and your laptop — whether you work with LangChain, Strands SDK, OpenAI Agents SDK, Claude Agent SDK, or your own framework, you'll leave with practical, hands-on experience building agents that are ready to evolve toward production. This is not a demo. You will build, break, and debug. Level: Intermediate to Advanced (300–400), structured in progressive modules with guided support — beginners can follow along while experienced builders push into advanced patterns (agent runtime deployment, multi-tool orchestration with authentication, MCP server integration, IAM-backed access policies, production observability and tracing). Recommended: basic Python and familiarity with AWS core services (IAM, Lambda). For: software engineers, AI/ML engineers, platform engineers, cloud architects, DevOps/SRE practitioners, and technical founders building AI agent systems.
A select number of curated partnership opportunities are available for 2026.
