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.

Master Class Architect Agent Powered Data Ingestion Pipeline on AWS