AI workflows bootcamp

Learn AI by building
something real.

Choose the track that matches your work -- builders, data engineering, and more. Every cohort is hands-on, project-based, and built around shipping something you can actually show after the program ends.

For builders, data engineers, and technical teams who want shipped work -- not AI tourism.

  • Track-specific capstones
  • Small cohorts and practical workflows
  • No payment today

Small cohorts. Practical workflows. A project you can demo when you're done.

Curriculum

What you'll build

Foundations

How to think with AI. Prompt engineering, mental models for human-AI collaboration, and setting up your development environment.

Building With AI

Code generation, data pipelines, and automation. Use AI tools to write, refactor, and ship real code from day one.

Agents & Workflows

Design and build AI agents that chain tools together. Multi-step workflows, tool use, and autonomous task execution.

Quality & Security

Testing AI outputs, responsible use, security considerations, and building guardrails into production AI systems.

Ship It

Present your capstone project. Live demos, peer feedback, and a shipped project with a GitHub repo you can show employers or clients.

Who it's for

Pick your track

Every track follows the same 5-session structure. Your capstone project is in your domain, with your tools.

Data Engineering

For data engineers who want to use AI inside real pipelines, dbt projects, IaC, and warehouse workflows.
Coming Soon

Security

AI-powered vulnerability scanning, security audits, compliance automation, and threat analysis workflows.

Builders

For developers and product builders who want to ship AI apps with real backends, real UIs, and real deployment.
Coming Soon

Marketing

Content generation, campaign automation, audience analysis, and AI-driven creative workflows at scale.

Why people join

More than another AI course

Built Around Shipped Work

  • Each track ends with a capstone you can demo, defend, and keep working on after the cohort.
  • The curriculum is organized around real workflows, not a tour of AI tools.
  • You learn by building inside your domain: apps, pipelines, agents, and production habits.

Designed for Serious Operators

  • Small cohorts keep the sessions technical, interactive, and useful.
  • The waitlist-first launch filters for people who actually want to ship, not just browse.
  • The offer is intentionally specific: practical workflows, grounded stacks, no hype language.
Format

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

5 sessions over 2-3 weeks. Each session is ~2 hours. 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.

Join the waitlist

Early access

All tracks launch in small cohorts as waitlists fill. Join now to get cohort dates, curriculum updates, and early-bird access for the track you care about.

  • Pick the track that fits your work before public enrollment opens.
  • Get dates, curriculum updates, and launch pricing in your inbox first.
  • Signal demand for the next cohort so the highest-interest tracks launch sooner.

No payment required. Pick your track and I'll email you when the next cohort is ready.

Can't afford it? We offer a limited number of sponsored spots for each cohort. Talk to us →

Instructor

Who's teaching

Anmol Parimoo

Anmol Parimoo

I build AI workflows, analytics systems, and production agents for real teams through MLDeep Systems. The material in this program comes from hands-on client delivery, not trend-chasing tutorials.

You'll learn how I scope projects, choose tools, review AI-generated output, and turn rough prototypes into something a team can actually use. The goal is practical judgment, not AI hype.

LinkedIn

Want to teach a session? We're looking for practitioners. Get in touch →

FAQ

Common questions

You should be comfortable with your domain tools (a code editor, a spreadsheet, a marketing platform -- whatever you use daily). You don't need AI experience. We start from foundations and build up.
Depends on your track. The Builders and Data Engineering tracks involve code. Security and Marketing tracks focus on AI-assisted workflows in your existing tools. All tracks involve some interaction with AI coding tools, but you don't need to be a developer.
A laptop and an internet connection. We'll provide access to AI tools and walk through setup in Session 1. Specific tool requirements vary by track and will be shared before the cohort starts.
Sessions are recorded. You can catch up async and still complete your capstone. To qualify for the completion reward, you need to attend at least 4 of 5 sessions live and present your capstone.
Join the waitlist to be notified when the next cohort opens. We run small cohorts to keep sessions hands-on and high-signal.

Ready to build?

Choose your track, join the list, and get notified before cohorts open publicly.