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Hands-on AI/ML labs and realistic mock exams for every NVIDIA certification, plus AWS, GCP, Azure, and more. Built by engineers who've earned them.
- 2.1No OOM events during warmupVRAM headroom ≥ 8 GB-- GB
- 2.4p99 TTFT under targettarget < 150 ms-- ms
- 3.1Sustained throughputtarget > 2,600 tok/s2,340 tok/s
from preporato_labs import Trainer
trainer = Trainer(model, lr=1e-4, qps=80)
history = trainer.fit(epochs=10, target=2600)
“The labs are the only reason I passed NCA-GENL on my first try. Tuning TensorRT-LLM on a real GPU beat every lecture I’d watched.”
Andrew M. · ML Platform Engineer · NCA-GENL, Apr 2026
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Which NVIDIA inference server supports in-flight batching for LLMs?
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Flashcards for NCCL ops, TensorRT flags, and CUDA streams, scheduled by the forgetting curve.
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Full-length, exam-realistic mock tests (and hands-on labs) for each certification below.
NVIDIA-Certified Professional: Agentic AI
NVIDIA-Certified Professional: Generative AI LLMs
NVIDIA-Certified Associate: Generative AI with LLMs
NVIDIA-Certified Professional: AI Infrastructure
NVIDIA-Certified Associate: Generative AI Multimodal
NVIDIA-Certified Professional: Accelerated Data Science
NVIDIA-Certified Associate: AI Infrastructure and Operations
NVIDIA-Certified Professional: AI Operations
NVIDIA-Certified Professional: AI Networking
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