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About

Param Harrison

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

I build production systems and teach engineers to do the same. After 15 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.

Engineers are learning here from

NVIDIAMICROSOFTGRABWISEPIPEDRIVEBOLTGLIA

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 15+ 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. Engineers from NVIDIA, Microsoft, Grab, Wise, Pipedrive, and Bolt use the platform to upskill exactly because the gap between tutorials and production gets covered.

How does the AI engineer bootcamp work?

The bootcamp is a 6-week structured path from software engineer to AI engineer. It combines weekly live sessions, a tight curriculum across RAG, agents, and production AI, and a capstone project. The live mentor-led cohort is a one-time purchase, while the self-study content is covered by a Pro subscription. Regional pricing applies for engineers in lower-cost regions, and you keep access to the program you join.

Can I use what I learn at work immediately?

Yes, that is the explicit design goal. Every workshop builds production-grade systems using the same patterns the mentors ship at NVIDIA, Wise, and Faltara. You leave with code in your own repo, not slideware. Engineers regularly tell us they shipped something at work in the same week they finished a workshop because the patterns transfer directly.

How does access work? Subscription or one-time?

There are two ways in. A Pro subscription unlocks every paid course, workshop replay, and the full downloadable library, and you can pay monthly, yearly, or once for lifetime access. Mentor-led bootcamps and accelerators are bought separately as a one-time cohort purchase. Foundational courses stay free forever. Regional pricing applies to everything, and Pro comes with a seven-day refund window.