Train
Learn to build production AIfrom the people who ship it.
Hands-on AI engineering training from a team that builds production systems, not slideware. Team programs and an entrepreneur track, taught on your own project.
3
Programs
20
Max cohort size
MDAP
Framework we teach
0
Competing programs
The problem
AI is rewriting the rules. Most teams are not ready.
A single developer with Claude Code can now outproduce a team of five using traditional methods. Most organizations still treat AI as a productivity hack, a smarter autocomplete.
The gap is not access to tools. It is knowing how to architect AI-augmented workflows, write reliable specs, test rigorously, and deploy with confidence. That is what we teach.
No other program, in India or globally, teaches agentic AI development from production experience with a proven zero-error framework.
The outcome
The efficiency we get your team to.
We do not teach this from theory. Our own products, live in production, were each built by a pair of engineers, give or take. By the end, your team works the same way: writing specs an AI can build against, testing against real cases, and shipping production software that used to need a department.
Programs
Three programs.
On-site for teams, online and one-to-one for founders. Every track ends with something deployed, not a slide deck.
2-Day Intensive
2 days on-site- AI coding foundations with Claude Code and OpenCode
- Hands-on intro to agentic development workflows
- Build and deploy a real app by end of day 2
- Suitable for mixed technical audiences
Tailored to your team size and goals. We respond within 24 hours.
6-Day Deep Engineering
6 days on-site- Everything in the 2-Day, plus 4 days of deep engineering
- The MDAP framework: build zero-error AI agent systems
- LangGraph, Pydantic AI, Pi Agent, self-evolving loops
- Full deployment stack: SST, Docker, Kubernetes via AWS CLI
Tailored to your team size and goals. We respond within 24 hours.
15-Day Entrepreneur Track
2 weeks online, optional 2-day in person- Claude Max 200 dollar subscription included for 1 month
- Daily 1-hour training sessions on your own project
- WhatsApp access to the trainer for Q and A
- Private Discord community across cohorts
Tailored to your team size and goals. We respond within 24 hours.
Framework
The MDAP methodology.
Based on the MAKER research paper, the first system to solve a million-step LLM task with zero errors.
Maximal decomposition
Break complex AI tasks into the smallest possible atomic steps. Each step is independently executable, testable, and verifiable. Smaller steps mean fewer errors.
Voting and consensus
Run multiple agent candidates in parallel. First-to-ahead-by-K voting selects the correct output with mathematical guarantees. Even 95 percent per-step accuracy scales to millions of steps.
Red-flagging
Identify and discard unreliable outputs before they enter the pipeline. Overly long responses, invalid formats, and logical inconsistencies are filtered automatically.
Key result
MAKER achieved 1,048,575 consecutive error-free LLM steps on the Towers of Hanoi benchmark, 20 disks.
Cost scales log-linearly, not exponentially, with task size. This is the methodology we teach your team to apply to real AI agent systems.
Team training
On-site, on your stack.
Delivered at your location, on environments configured for the tools your team already runs.
What is included
- On-site at your location
- All course materials
- Hands-on labs with pre-configured environments
- Post-training support and Q and A for 2 weeks
- Certificate of completion
Curriculum
2-Day Intensive curriculum
Day 1. AI coding foundations. Claude Code and OpenCode, specs-first development, and a hands-on feature build.
Day 2. Build and deploy. AWS SST fundamentals, and a capstone: build and deploy a complete application.
6-Day Deep Engineering curriculum
Days 1 to 2. Everything in the 2-Day Intensive.
Day 3. Agent design. The MDAP framework, and your first agent, deployed to AWS SST.
Day 4. Advanced architectures. LangGraph, Pydantic AI, Pi Agent, and self-evolving agent loops.
Day 5. Testing and deployment. End-to-end testing, CI/CD, Docker and Kubernetes via the AWS CLI.
Day 6. Capstone. Design, build, test, and deploy a complete application, then present it.
Entrepreneur track
Fifteen days on your own project.
15
Days
Forever
Skills you keep
1:1
Mentorship
200 dollars
Claude Max included
Who this is for
Non-technical founder
You have a business idea and no dev team. AI tools close the gap, and we show you exactly how to use them.
Solo builder
You are shipping an MVP alone and need to move in days, not months. We teach the workflow that gets you there.
Domain expert
You know your field and want to automate your own work. We help you turn that expertise into a working tool.
Your 15 days
Assess your background and project, set up Claude Code, OpenCode, and AWS, and map a two-week build plan.
Architecture, core features, data and APIs, the front end, and your first deployment to AWS SST.
Testing, advanced features, agents where relevant, production hardening, and launch readiness.
An in-person sprint to finish, harden, and refine go-to-market, with direct code review.
What you get
- 2 onboarding sessions
- 10 daily training sessions
- WhatsApp access to the trainer
- Private Discord community
- Optional 2-day in-person
Why us
What makes this training different.
Practitioners, not academics
We build production AI systems, including ReduceWaste.AI and TestFlo.AI. We teach what we ship, not what we read about.
The MDAP framework
We teach Massively Decomposed Agentic Processes, a research framework most teams have not heard of yet.
Small cohorts
Capped at 20 seats per cohort, so every session stays hands-on.
Taught on your own project
The entrepreneur track runs on your own idea from day one. Team labs use environments configured for your stack.
Deployment-first
Every program ends with something live, a deployed app or a working deployment stack, not a slide deck.
Claude Max included
The entrepreneur track includes a Claude Max subscription, 200 dollars a month, for the first month. No rate limits during training.
Pricing and ROI
The math is simple.
- 3 to 10x more productive
- About 2 hours per week reclaimed per developer
- 2,000+ engineering hours reclaimed (2 hours per week times 20 developers times 52 weeks)
Questions
What teams and founders ask.
Who should take the 2-Day versus the 6-Day?
The 2-Day suits mixed teams and leadership who want the foundations and a real app by day 2. The 6-Day is for core engineering teams who want the MDAP framework and the full deployment stack.
What happens after the 15-day entrepreneur track?
You keep WhatsApp access to the trainer and the private Discord community. Your Claude Max subscription runs for the full month.
How big are cohorts?
Capped at 20, so the training stays hands-on.
Do you teach on our own code?
Yes. The entrepreneur track is taught entirely on your own project, and team labs use environments configured for your stack.
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