Master Class: Architect Agent Powered Data Ingestion Pipeline on AWS

​Hosted by MLOps Community — built by practitioners, for practitioners
🗓 5 hours · 💵 $500 · Live + Interactive

​GenAI is reshaping how data gets ingested, processed, and used — fast. If you're already working in data or ML infrastructure, this 5-hour deep dive will show you how to integrate GenAI directly into your ingestion ETL stack using real-world patterns that scale.

​This isn’t beginner content. It’s built for experienced engineers and architects who want to upgrade their systems, sharpen their skills, and see what it takes to bring GenAI into production — cleanly, scalably, and cost-effectively.

​⏱️ Format and Flow:

​Length: 5 hours
Cost: $500
This is a live, working session — part lecture, part architecture review, part code walkthrough. It’s interactive, paced for pros, and built to deliver value immediately.

​What we’ll cover:

• ​Designing containerized ingestion pipelines (Docker, ECS, Fargate, etc.)

• ​Using GenAI models (Claude, GPT, Bedrock) to parse and enrich raw data

• ​Batch-first architecture with a clear path to real-time

• ​Deploying scalable GenAI on AWS without blowing your budget

​This is for:

• ​Data and ML engineers building production pipelines

• ​Architects who want ready-to-deploy reference patterns

• ​Technical leads focused on modernizing their stack with GenAI

​You’ll walk away with:

• ​A deployable GenAI-powered ingestion architecture

• ​Sample code + infra templates (CloudFormation or Pulumi)

• ​AWS credits

• ​Curated GenAI + infra resources to go deeper

• ​Private Slack group access to keep learning with your instructor and cohort after the session

​Taught by MLOps Community
We’re the largest global network of production ML engineers — 75,000+ strong. Our workshops are built by practitioners who live this stuff, not by marketers or vendors (they're cool too though!). You’ll leave with real-world skills and patterns, not just slides.