Build a Claude Code Verification Harness

Oct 8, Reserve a seat
About

Param Harrison

Cofounder, AEOsome.com · Chief Mentor, learnwithparam.com

I build production systems and teach engineers to do the same. After 14 years in software, from startups to scale-ups, I created learnwithparam to close the gap between tutorials and real engineering. Every course is built from patterns I use at work.

Param Harrison

How I teach

You clone the repo, build a system on your machine, and debug real failures. The platform is interactive: chat-based lessons with quizzes, code challenges, and validation checklists that confirm you actually learned it.

I give you vague specs like a real job, not step-by-step instructions to spoon feed you. That is how you build the muscle to design systems independently as an engineer. I help to unblock you like a tech lead or an engineering manager.

Taught by an engineer who has shipped this

  • ISO 27001

    Led the engineering work behind the certification of a regulated EU platform.

  • Series A platform

    Architected the case-management product that became the business a €11.6M round was raised on.

  • 3x faster deploys

    Cut time-to-deploy by migrating to Kubernetes on GCP with deploy-on-merge.

Frequently asked questions

Everything you need to know about the team, the platform, and the bootcamp.

Who teaches on learnwithparam?

Param Harrison leads as chief mentor with 14+ years of engineering experience and a focus on production AI. Three co-authors specialize alongside him: Ahmed Aleryani on complex agentic systems, Sunil Samson Suresh on data science and ML evaluation, and Asep Bagja Priandana on polyglot programming and tooling. Each author creates content in their area of depth so the platform covers the full AI engineering stack with practitioner voice rather than generalist tutorials.

What makes learnwithparam different from other AI courses?

Every course is hands-on, code-first, and built from production patterns the mentors actually use at work. There are no long videos or framework demos. You clone a repo, run real code, and ship a working system. The gap the platform covers is the one between a demo that runs on your laptop and a system somebody else has to operate.

How does the AI engineer bootcamp work?

The bootcamp is a 6-week structured path from software engineer to AI engineer. It is self-paced, with a tight curriculum across RAG, agents, and production AI, and a capstone project, all included with a Pro subscription.

Can I use what I learn at work immediately?

Yes, that is the explicit design goal. Every course builds production-grade systems using the same patterns the mentors ship at Wise, Faltara, and ValueMomentum. You leave with code in your own repo, not slideware, because the patterns transfer directly.

How does access work? Subscription or one-time?

One way in. Every lesson is free to read. A Pro subscription adds practice, notes and certificates on every course, every bootcamp and accelerator, and the full downloadable library, at $49/month or $297/year, the same price everywhere. Reading stays free forever, and Pro comes with a seven-day refund window.