tecnovy AI Suite
Dates & booking
No public dates are scheduled yet.
New dates are published regularly. Join the waitlist or plan an in-house course for your team.
Fit
No prerequisites
You can start right away. What you need: hands-on experience with agentic AI projects. Helpful: work experience in AI or ML roles.
Consider instead AI Agents Deep Dive For anyone who wants to test, harden and run multi-agent systems vendor-neutrally, without an exam.
Curriculum
The five parts of the tecnovy training follow NVIDIA's study guide for NCP-AAI, September 2025 edition. Each part names the exam topic areas it prepares for, under NVIDIA's own names. You see the NVIDIA tools in demos, and exam-format practice questions close the course. This curriculum omits Human-AI Interaction and Oversight, knowledge graphs, ETL and TensorRT-LLM/Dynamo-Triton.
This part lays the foundation from Agent Architecture and Design and Cognition, Planning, and Memory.
Here you connect an agent to what it uses: Agent Development, Knowledge Integration and Data Handling, and parts of NVIDIA Platform Implementation.
This part moves from a single agent to several working together, as Agent Architecture and Design and Deployment and Scaling test it.
Here you measure and limit what agents do, along Evaluation and Tuning and Safety, Ethics, and Compliance.
Finally the course turns to operation from Deployment and Scaling and Run, Monitor, and Maintain, then to the exam itself.
Outcome
You design the architecture of an agentic system and choose between ReAct, prompt chains and stateful orchestration.
You decide how an agent retains short- and long-term context and plans multi-step tasks.
You connect tools, APIs and generative models to an agent.
You give agents knowledge from enterprise sources through RAG pipelines and vector databases.
You orchestrate several agents and plan the scaling and reliability of the whole system.
You map NIM microservices, the NeMo Agent Toolkit and NeMo Guardrails to their jobs in the system.
You evaluate agents with evaluation pipelines and benchmarks and derive optimisations from the results.
You plan the deployment, monitoring and logging of an agentic system in operation.
NVIDIA awards the certification for a passed exam as a digital badge, with an optional certificate. It is valid for two years from issue; after that you retake the exam to recertify.
Certification terms nvidia.com ↗Examination
120minTime limit
NVIDIA runs the exam online with remote proctoring, in English. The result is pass or fail; NVIDIA does not give out a score.
Official examination rules nvidia.com ↗Proof of attendance
≥80%attendance
It confirms your participation in the tecnovy training and says nothing about the NVIDIA exam.
Open the Certificate Showroom tecnovy → Offer scope
Why tecnovy
01
Promised: no PowerPoint marathon. We work in groups, tie theory to practice, and you get real project examples from our experienced trainers plus the exchange with like-minded people.
02
Get your certificate of participation and, if you have one, add your exam certificate from E-Learning. Fully automated, beautifully designed. Just for you, only at tecnovy.
03
If you are not able to attend the course, you can rebook your training free of charge up to one week before the start of the training.
04
You are welcome to visit the training course online again within a year as a refresher or exam preparation.
05
We always guarantee you the use of didactically and methodically first-class qualified trainers who draw their knowledge from training experience as well as professional practical and project experience.
FAQs
NCP-AAICertified Professional: Agentic AI
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