Ship AI that works while you sleep. The summit track for full-stack AI product engineers — agentic systems, production infrastructure, and the evals to trust them unattended. Level 2 or equivalent required.
Level 1 taught you to ship. Level 2 taught you systems businesses depend on. Level 3 is where you become the engineer who owns the whole product: architecture for multi-tenant AI SaaS, production AWS, queues and scale, advanced agents that run real workflows, and the evals and security to keep them trusted. Very few people can design that end to end. This level makes you one of them.
PKR 150,000Pakistan$195 / £155International
The EngineerLevel 3
A full-stack AI product engineer is the hire companies fight over: you can draw the system design on a whiteboard, implement the web and API layers, put it on AWS properly, wire advanced agents and MCP tools into business processes, and prove with evals and observability that it is safe to leave running. This is the summit of the developer path — not just building with AI, but engineering AI products others build their businesses on.
Twelve weeks to full-stack AI product engineer — AI SaaS system design, advanced agentic concepts, MCP, event-driven backends, production-grade AWS, evals & observability, and enterprise security for web and SaaS AI products.
Design and ship a production-minded full-stack AI product on AWS: multi-tenant web/SaaS UX, event-driven AI backend, advanced agent or MCP-powered workflows, evals and tracing, and enterprise-grade security — defended end to end for certification.
After this level, you operate as a full-stack AI product engineer — the systems on this list are hiring criteria for senior AI / platform roles:
Panabotics Certified AI Developer (PCAD) — or professional experience shipping LLM apps with RAG, tool use, and a deployed full-stack AI product.
One payment · 12 weeks · 70+ video lessons · 10 hands-on projects
Every PIAI seat is reviewed. Submit once — we guide you from application to selection.
Share your details, LinkedIn, and CV for the program you want to join.
Our PIAI team reviews fit, readiness, and prerequisites for your chosen track.
A short conversation to confirm goals, commitment, and whether this is the right level.
Accepted applicants receive an offer with next steps to enroll and start.
Fees, schedule, language, prerequisites, and what the credential is worth — answered plainly, including the answers that might talk you out of applying.
Engineers who can already build AI systems and now need to own them end to end — architecture, infrastructure, reliability, and security. If you have shipped RAG and tool-using agents but have never designed a multi-tenant AI SaaS or run agents in production unattended, this is the gap this level closes.
Yes — Level 2 (PCAD) or genuinely equivalent professional experience: shipping LLM applications with retrieval, tool use, and a deployed full-stack AI product. This is the most demanding level offered, and the admissions interview is where we confirm you are ready rather than letting you discover it in week three.
Agentic AI is the shift from a model that answers to a system that acts — planning, calling tools, recovering from failure, and running without a human in the loop. Across 12 weeks you build advanced agents, orchestration across frameworks, MCP integrations, event-driven backends, and the evals and observability that make leaving them running defensible.
MCP — the Model Context Protocol — is the emerging standard for connecting AI models to tools and data sources without hand-writing an integration for every pairing. Module 4 covers it alongside integration platforms, because how agents connect to real business systems is fast becoming the interesting engineering problem, not the model call itself.
Yes. Module 7 is production AWS for AI products, and Module 6 covers event-driven backends with queues and scale. You leave able to put an AI product on real infrastructure properly rather than on a hobby-tier deploy, and to defend those choices in a design review.
The fee is PKR 150,000 in Pakistan, or $195 / £155 internationally, covering all 12 weeks, 70+ video lessons, 10 hands-on projects, and the PCAAE certificate assessment. This level is payable in full — installment plans are not offered — and fees are non-refundable once enrollment is confirmed.
Twelve weeks, with live classes every Saturday and Sunday from 3:00pm to 6:00pm Pakistan Standard Time — 6 live hours per week and 72 hours in total, all online. It is the longest of the four Panabotics programs, and at this level the projects between sessions carry the learning rather than the lectures.
Level 2 builds AI systems that work. Level 3 engineers AI products other businesses build on: system design for multi-tenant SaaS, production AWS, queues and scale, advanced agent orchestration, evals and observability, and enterprise security. Level 2 is the builder; Level 3 owns the whole product.
Classes are taught in English with Urdu explanation. Technical terminology stays in English exactly as you will encounter it in AWS consoles, framework documentation, and architecture reviews, while the reasoning behind the decisions gets explained in the language you think in.
Yes — PCAAE is the summit of the developer path. There is no Level 4 above it. Very few engineers can design, ship, and operate an agentic AI product end to end, and this level exists to produce exactly that profile rather than a broader survey of the field.
You earn the Panabotics Certified Agentic AI Engineer (PCAAE) credential, awarded on assessment. The final module is an enterprise security and AI product capstone which you must ship and defend. Attendance alone does not earn it, which is the point of the credential.
Tell us who you are and why you want Panabotics Certified Agentic AI Engineer. We review every application personally before inviting you to the next step.
12 weeks. 10 hands-on projects. One credential — PCAAE. Talk to us and we'll help you decide if this is your level.