NVIDIA-Certified Associate: Generative AI Multimodal
NCA-GENM
The NCA-GENM exam tests whether you can build and manage AI systems that work across text, image and audio, from multimodal data handling to experimentation and performance tuning. On preporato.com you prepare with timed practice exams, an explanation for every question and hands-on labs.
420+
問題数
7
練習テスト
13
実践ラボ
無期限
アップデート
含まれる内容
模擬試験
本番形式の模擬試験7セット
実践
ラボ· 13
CUDA Programming Fundamentals
ロック解除Quantize & Optimize LLMs with bitsandbytes
ロック解除Profile PyTorch Training with the Built-in Profiler
ロック解除RLHF & DPO Alignment
ロック解除MLflow Experiment Tracking: From Single Run to Team Workflow
ロック解除Nsight Systems Profiling: Finding the Bottleneck That Costs You 40% of Your GPU
ロック解除Batch Size & Precision Sweep: Finding Your Sweet Spot
ロック解除Reproducible Training: The Flags, The Cost, The Artifacts
ロック解除Fine-Tune Stable Diffusion with LoRA: Custom Text-to-Image
ロック解除Build a Transformer from Scratch: Attention, Masking & LayerNorm
ロック解除Vision-Language Models: Captioning and Visual QA
ロック解除Visual Q&A with NVIDIA VLMs
ロック解除Multimodal RAG with NeMo Retriever
ロック解除学習を始めますか？
1回の購入で上記のすべてを利用できます。無期限アクセス、30日間返金保証。
なぜこの認定を取得するのか？
検証されるスキル
- Designing multimodal AI systems across text, image, and audio
- Understanding diffusion models, GANs, and VAE architectures
- Working with vision-language models (CLIP, NeVA/LLaVA)
- Building text-to-image and image-to-text pipelines
- Speech AI fundamentals (ASR, TTS)
- +4個のスキル
キャリアの利点
対象職種
給与範囲
$95,000 - $165,000+
Multimodal AI roles expected to grow 40%+ annually
試験トピックとドメイン
認定試験は、7つの主要なコンピテンシー領域にわたってあなたの知識を評価します：
- Designing experiments for multimodal AI models
- Hyperparameter tuning for generative models
- A/B testing for model outputs
- Experiment tracking and reproducibility
- Ablation studies for multimodal architectures
- Comparing model architectures (diffusion vs GAN vs VAE)
- Fine-tuning approaches (DreamBooth, ControlNet, LoRA)
- Transformer architecture and attention mechanisms
- Diffusion model fundamentals (forward/reverse process)
- VAE and GAN architectures
- CLIP and contrastive learning
- Vision Transformers (ViT)
- Latent diffusion models
- Loss functions for generative models
- Text tokenization for multimodal systems
- Image preprocessing and augmentation
- Audio feature extraction (mel spectrograms, MFCCs)
- Cross-modal alignment and embedding spaces
- Multimodal data pipelines
- Video data preprocessing
- NVIDIA NIM microservices for deployment
- NVIDIA Riva SDK for speech AI
- NVIDIA Triton Inference Server
- API design for multimodal inference
- Containerization and ML deployment
- CI/CD for ML systems
- FID, IS, CLIP score for image evaluation
- WER, BLEU, ROUGE for text/speech evaluation
- Perceptual quality metrics (LPIPS, SSIM, PSNR)
- Training curve analysis
- Embedding visualization (t-SNE, UMAP)
- TensorRT optimization for inference
- Mixed precision training (FP16, BF16)
- Model quantization techniques
- GPU memory management
- Multi-GPU training strategies
- Bias in generative AI outputs
- Content safety and NSFW filtering
- Deepfake detection and prevention
- AI governance and responsible use
- Watermarking AI-generated content
カバーされる技術とツール
できるようになること
この認定を取得した後、あなたは次のことができるようになります：
- Design and implement multimodal AI systems spanning text, image, and audio modalities
- Understand and apply diffusion models for image and video generation
- Build and evaluate vision-language model pipelines
- Implement speech AI solutions using NVIDIA Riva
- Optimize multimodal model performance for production deployment
- Apply trustworthy AI principles to generative multimodal systems
- Analyze and visualize generative AI model outputs using standard metrics
この資格が重要な理由
検証されるスキル
- Designing multimodal AI systems across text, image, and audio
- Understanding diffusion models, GANs, and VAE architectures
- Working with vision-language models (CLIP, NeVA/LLaVA)
- Building text-to-image and image-to-text pipelines
- Speech AI fundamentals (ASR, TTS)
- Multimodal data preprocessing and pipeline design
- +3個のスキル
キャリアの利点
対象職種
給与範囲
$95,000 - $165,000+
Multimodal AI roles expected to grow 40%+ annually
積極的に採用している業界
よくある質問
The exam is associate-level and requires a basic understanding of generative AI. It covers 7 domains spanning multimodal AI concepts including diffusion models, vision-language models, speech AI, and NVIDIA platform tools. Candidates with foundational AI/ML knowledge and some hands-on experience should be well-prepared.
NVIDIA does not publicly disclose the exact passing score. The exam contains 50-60 questions and candidates have 60 minutes to complete it. We recommend scoring 70%+ consistently on practice tests before scheduling.
The NCA-GENM certification is valid for 2 years from the date of issuance. To maintain your certification, you must retake and pass the exam before it expires.
NVIDIA recommends several courses: 'Getting Started With Deep Learning' ($90, 8 hours), 'Introduction to Transformer-Based NLP' ($30, 6 hours), 'Generative AI With Diffusion Models' ($90, 8 hours), and instructor-led workshops including 'Building AI Agents with Multimodal Models' ($500, 8 hours).
No, there are no prerequisite certifications required. You only need a basic understanding of generative AI concepts.
You should have familiarity with diffusion models (Stable Diffusion), vision-language models (CLIP), transformer architectures, NVIDIA tools (NIM, NeMo, Riva, Triton), and Python programming.
Yes, this is an official NVIDIA certification that validates skills in multimodal generative AI. Upon passing, you receive a digital badge and optional certificate. Multimodal AI is one of the fastest-growing areas in AI, making this credential highly valuable.
Yes, the exam is delivered online and is remotely proctored via the Certiverse platform, allowing you to take it from anywhere with a stable internet connection.
The exam costs $125 USD. You'll need to create a Certiverse account to register for the exam.
合格に向けて始めましょう
模擬試験だけを購入することも、Proにアップグレードして実践ラボ13件に加えてPreporatoの他のすべてのコースを利用することもできます。
模擬試験のみ
無期限アクセス。一度の購入でずっと使えます
地域により別途税金がかかります
- フル模擬試験7セット
- 本番形式の問題420問以上
- 全問題に詳しい解説
- 試験モードと学習モード
- ×実践ラボは含まれません
Preporato Pro
月ごとの請求。いつでも解約できます
地域により別途税金がかかります
- NCA-GENM向けの実践ラボ13件 ＋他のAI/MLラボ150件
- すべての資格の模擬試験
- GPUサンドボックスとホスト環境
- フラッシュカード、学習ガイド、記事
- いつでも解約可能、契約の縛りなし