Building Agents at Cloud Scale
A practical path for taking MCP‑style agents to AWS scale—what changes at each stage, the patterns that keep agents reliable, and demos along the way.
Watch on YouTube →Hi! I'm
Antje Barth
Developer Advocate · Keynote Speaker · Author
I'm a Principal Developer Advocate at AWS, based in San Francisco. I frequently speak at AI engineering conferences, events, and meetups, and work closely with product teams to build the future of agentic AI. I'm also co-author of the O’Reilly books Generative AI on AWS and Data Science on AWS.
Keynotes & Talks
From mainstage keynotes to deep‑dives, these talks show how builders turn promising demos into reliable, shipped systems.
Scaling MCP
How to scale the Model Context Protocol in the cloud—serverless HTTP handlers on AWS Lambda, pragmatic context management, and where agentic services are heading next.
Watch on YouTube →From Software Developer to AI Engineer
How generative AI reshapes software development—new workflows, team habits, and AWS tools that help you move from idea to production faster.
Watch on YouTube →Books
Practical guides that help teams deliver AI-driven products with clarity.
Generative AI on AWS
A hands‑on guide to building context‑aware, multimodal applications on AWS—with patterns and end‑to‑end examples to get to production confidently.
Data Science on AWS
A practical walkthrough for building and deploying end‑to‑end pipelines on AWS—bringing data, ML, and applications together so teams can ship faster.
Online Course
Self-paced learning experiences that make applied AI and data science accessible worldwide.
Generative AI with Large Language Models
On-demand DeepLearning.AI course and specialization that I co-instructed. We cover the full GenAI lifecycle (data and model selection through evaluation and deployment), explain transformers and fine‑tuning, use scaling laws to guide trade‑offs, and apply current best practices for training, tuning, inference, tooling, and deployment—grounded in stories from researchers and practitioners.
Blog
Launch posts I authored for the AWS News Blog.
Amazon Bedrock Guardrails now supports multimodal toxicity detection with image support (preview)
Launch post for image‑aware content filtering in Guardrails—how to configure thresholds, and test the feature in the console and SDKs.
Read article →Introducing the next generation of Amazon SageMaker: The center for all your data, analytics, and AI
A tour of the new unified SageMaker—Unified Studio, Amazon Bedrock IDE integration, and Amazon Q woven into everyday workflows.
Read article →Introducing multi-agent collaboration capability for Amazon Bedrock (preview)
How Bedrock’s supervisor‑and‑subagents model helps specialized agents work together on complex tasks—plus a step‑by‑step demo to get started.
Read article →PR/Media
Conversations where I unpack the builder's POV on agentic AI, safety, and the craft of developer advocacy.
How AWS is Helping Developers with AI Reality
What it takes to move agentic AI from hype to day‑to‑day developer reality—tools, safety, and a shipping mindset.
Listen to episode →How open source and agentic AI are converging
Live at Open Source Summit Denver, a look at where open source meets agentic AI—and what that means for teams building on AWS.
Watch interview →Three AI-Assisted Development Skills You Can Use Today
Three practical skills you can adopt now to level up AI‑assisted development without derailing your existing workflow.
Read article →The skills developers need in an AI era
A candid chat about the skills that matter as AI becomes table stakes—the rise of AI engineering and even a bit on “vibe coding.”
Listen to episode →Generative AI/ML for developers
A conversation about how developer advocates help builders navigate new GenAI workflows and bring ideas to production.
Watch episode →