STOP LEARNING ABOUT AI.
START BUILDING WITH IT.
A 6-session, cohort-based bootcamp for working professionals over 3 weeks. Pick your track, build a real project, ship it with a GitHub repo you can show. No slides. No theory dumps. You build from session one.
// 6 sessions. 3 weeks. Ship a real project.
WHAT YOU'LL BUILD
Foundations
Map AI capabilities to the data engineering lifecycle. Learn prompt patterns for schema-aware queries, Terraform config generation, code review, and debugging — with real tasks from your work.
Pipelines & Transformations
Build a complete ELT pipeline with AI assistance. Ingest data from an API, land it in a warehouse, and write dbt models to transform it. Ship staging models and tested SQL by end of session.
Infrastructure as Code
Use AI to write and iterate on Terraform configs. Provision cloud resources, set up IAM roles, configure networking — and learn to review AI-generated IaC for security and cost. Deploy real infrastructure to GCP.
Agents & Monitoring
Build AI-powered pipeline monitoring: automated schema drift detection, data quality checks, anomaly classification via Claude API, and alerting when something breaks. Test failure scenarios live.
Quality, Security & Reliability
Make your pipeline production-ready. AI-assisted testing, security auditing, error handling with retries, CI/CD via GitHub Actions, and a 12-item production readiness checklist.
Ship It — Demo Day
Present your capstone: a production-grade data pipeline with version-controlled IaC, automated tests, monitoring, and documentation. Lightning talks, peer feedback, and a GitHub repo that demonstrates real engineering.
PICK YOUR TRACK
Every track follows the same 5-session structure. Your capstone project is in your domain, with your tools.
Data Engineering
Build and deploy data pipelines with AI assistance using Python, SQL, Terraform, dbt, and BigQuery.
Security
AI-powered vulnerability scanning, security audits, compliance automation, and threat analysis workflows.
Builders
Full-stack applications with AI. Build and deploy apps that use LLMs, agents, and AI APIs in production.
Marketing
Content generation, campaign automation, audience analysis, and AI-driven creative workflows at scale.
HOW IT WORKS
Live Sessions
Instructor-led, hands-on sessions. Not lectures. You build during class with real-time guidance and code review.
Async Challenges
Between sessions, work on challenges that build toward your capstone. Office hours available when you get stuck.
Community
A cohort of peers building alongside you. Shared workspace, peer review, and a network that lasts beyond the bootcamp.
Timeline
6 sessions over 3 weeks, twice per week. Each session is 90 minutes live plus async challenges. Pre-work setup before Session 1. Designed for people with day jobs.
Capstone
You ship a real project in your domain. GitHub repo, live demo, peer feedback. Something you can actually show.
EARLY ACCESS
Cohort 1 launches when we hit 20 engineers. Join the waitlist to lock in early-bird pricing.
No payment required — we'll email you when the cohort date is set.
Can't afford it? We offer a limited number of sponsored spots for each cohort. Talk to us →
WHO'S TEACHING
Anmol Parimoo
Builds data foundations and production AI agents daily — dbt, Terraform, AI agents, full-stack development. Founder of MLDeep Systems.
Everything in this bootcamp comes from real client work. No theory for theory's sake — if it's taught here, it ships.
Want to teach a session? We're looking for practitioners. Get in touch →
COMMON QUESTIONS
READY TO BUILD?
Join 20 data engineers building AI-assisted pipelines. No payment until we launch.