About This Certification
The NCA Generative AI Multimodal certification is an entry-level credential that validates the foundational skills needed to design, implement, and manage AI systems that synthesize and interpret data across text, image, and audio modalities. The exam is online and proctored remotely, includes 50 questions, and has a 60-minute time limit.
Topics Covered in the Exam
Topics covered in the exam include:
- Core machine learning/AI knowledge
- Data analysis and visualization
- Experimentation
- Multimodal data
- Performance optimization
- Software development and engineering
- Trustworthy AI
Candidate audiences:
- AI DevOps engineers
- AI strategists
- Applied data research engineers
- Applied data scientists
- Applied deep learning research scientists
- Cloud solution architects
- Data scientists
- Deep learning performance engineers
- Generative AI specialists
- Large language model (LLM) specialists/researchers
- Machine learning engineers
- Senior researchers
- Software engineers
- Solutions architects
- i Recommended Training:
- Fundamentals of Deep Learning (NV-FUND-DL)
- Fundamentals of Accelerated Data Science (NV-ACC-DS)
- Generative AI with Diffusion Models (NV-GEN-AI-DM)
- Building Conversational AI Applications (NV-CONV-AI-APPS)
- Efficient Large Language Model (LLM) Customization (NV-ELLM)
- Rapid Application Development Using Large Language Models (NV-RAD-LLM)
- Computer Vision for Industrial Inspection (NV-CV-II)
- Applications of AI for Anomaly Detection (NV-APP-AI-AD)
- Applications of AI for Predictive Maintenance (NV-APP-AI-PM)
