What We're Building in 2026: The GenAICerts Roadmap
When I started building GenAICerts, the obvious play was to launch GCP, AWS, and Azure practice exams and call it a day. Those three certifications have the volume, the name recognition, and the proven ROI. Safe bet.
But the market we're actually building for isn't the "cloud generalist" market. It's the agentic systems market — engineers who need to demonstrate they can design, orchestrate, and govern AI at production scale. That's a different problem, and it requires a different kind of platform.
Here's what we're shipping in the next two quarters.
The "Claw" Tracks: OpenClaw and NemoClaw
The certification landscape has split into two distinct camps, and I think it maps pretty cleanly to a real architectural divide in how companies are actually deploying agentic AI.
OpenClaw is the rapid-iteration, community-driven side: browser automation, local tool integration, quick-turn prototyping. This is where most agentic experimentation happens today. Fast, flexible, and not particularly hardened.
NemoClaw is the enterprise production side: policy enforcement, sandboxed agent actions, NVIDIA GPU-accelerated inference, and security-first architecture. This is where the money is, and where the certification signal matters most, because the gap between "it works in a demo" and "it works reliably on customer data" is enormous.
We're launching dedicated tracks for both. The OpenClaw track tests your ability to move fast and integrate tools cleanly. The NemoClaw track is heavier — policy enforcement scenarios, sandboxing decisions, GPU inference tradeoffs.
If you're aiming for an "Agentic Lead" role at an enterprise company, you need to speak both languages fluently. The ability to prototype fast and then harden for production is exactly what CTOs are hiring for right now.
NVIDIA NIM and Databricks: The Infrastructure Side
Anthropic owns the agentic logic layer. NVIDIA and Databricks own the infrastructure layer beneath it. Both matter, and both are underrepresented in the current certification market.
NVIDIA NCP-AAI Simulator (Q3 2026): This track covers the deployment of NVIDIA Inference Microservices (NIMs) — the March 2026 GTC updates, NeMo Guardrails for agentic safety, and the practical tradeoffs between different inference configurations. NVIDIA's certification is genuinely technical. If you don't understand the infrastructure-to-inference bridge, the exam will find that out quickly.
Databricks Certified GenAI Engineer (Q3 2026): This one is specifically for engineers working in data-heavy enterprise AI. RAG systems that plug into a lakehouse, data governance at the pipeline level, the actual workflow for deploying a production-grade retrieval system against structured enterprise data. Databricks is everywhere in the enterprise, and their cert is underrated relative to how much leverage it gives you in data engineering roles.
Who We're Building For
I want to be direct about something: GenAICerts isn't for everyone.
We're not building another flashcard app for engineers who want to pass an exam with minimal effort. We're building high-fidelity simulation environments for engineers who are serious about the architectural depth these certifications test. The people we care most about are the ones who will actually become better engineers by going through the material, not just people who want a badge.
That said — I've watched how companies like AWS, NVIDIA, and Databricks are hiring, and the credential does matter. The badge gets you past ATS filters. The skills get you through the technical interview. You need both.
If you're a senior engineer who wants to move up into an AI Architect role, or a lead dev at a startup building something real on agentic infrastructure, this platform is for you.
Start Here
The Claude Architect Foundations cert is the right starting point for most engineers in 2026. It's the hardest, most respected credential in the agentic space right now — and the one where preparation quality matters most because the exam doesn't give you partial credit for knowing the vocabulary without understanding the systems.
Try the Free Claude Architect Simulator →
If you're on the NVIDIA or Databricks path, both simulators are coming in Q3. Join the waitlist on the platform and I'll notify you when they're ready.