Skip to content

GTC (GPU Technology Conference)

You can sign up to the developer programme and virtual conference all at once - Virtual access to GTC content - On-demand access to sessions, talks, and tutorials

NCA-GENL Learning Resources

NVIDIA NCA-GENL vs Azure AI-201

NCA-GENL (NVIDIA Certified Associate - Generative AI with LLMs)

Focus: - This certification focuses on foundational concepts for developing, integrating, and maintaining AI-driven applications using generative AI and large language models (LLMs) with NVIDIA solutions1.

Exam Details: - Duration: 1 hour - Number of Questions: 50-60 multiple-choice - Price: $125 - Validity: 2 years

Topics Covered: - Fundamentals of machine learning and neural networks - Prompt engineering - Data analysis and visualization - Experimentation - Data preprocessing and feature engineering - Software development with Python libraries for LLMs - LLM integration and deployment1

Target Audience: - AI DevOps engineers, AI strategists, applied data scientists, deep learning research scientists, cloud solution architects, and more1.

AI-201 (Microsoft Certified: Azure AI Engineer Associate)

Focus: - This certification is designed for professionals who build, manage, and deploy AI solutions using Azure AI services, Azure AI Search, and Azure Open AI2.

Exam Details: - Duration: 100 minutes - Number of Questions: Varies - Price: Varies by region - Validity: 1 year

Topics Covered: - Planning and managing an Azure AI solution - Implementing content moderation solutions - Implementing computer vision solutions - Implementing natural language processing solutions - Implementing knowledge mining and document intelligence solutions - Implementing generative AI solutions2

Target Audience: - AI engineers, solution architects, data scientists, data engineers, IoT specialists, and other software developers2.

Comparison

Similarities: - Both certifications validate skills in AI and machine learning. - Both require knowledge of software development and data analysis. - Both are entry-level certifications aimed at professionals looking to enhance their AI skills.

Differences: - NCA-GENL focuses specifically on generative AI and LLMs with NVIDIA solutions, while AI-201 covers a broader range of AI solutions using Azure AI services. - NCA-GENL has a 2-year validity period, whereas AI-201 needs to be renewed annually. - The target audience for NCA-GENL includes a wider range of AI specialists, while AI-201 is more focused on Azure AI engineers and related roles.

# NVIDIA Generative AI LLMs (NCA-GENL) Notes - NVIDIA NGC (NVIDIA GPU Cloud) https://www.nvidia.com/en-us/gpu-cloud/ - Google Colab: Many NeMo tutorials can be run on Google Colab, which provides free access to GPUs

NeMo - https://github.com/NVIDIA/NeMo - https://www.google.com/url?q=https%3A%2F%2Fdocs.nvidia.com%2Fdeeplearning%2Fnemo%2Fuser-guide%2Fdocs%2Fen%2Fmain%2F%23 - Automatic speech recognition (ASR), natural language processing (NLP) and text synthesis (TTS) - Framework - Streamline LLM experimentation - Experment Logging - Visualisations - Hyperparameter optimisations (optuna, raytune) - https://colab.research.google.com/github/NVIDIA/NeMo/blob/main/tutorials/00_NeMo_Primer.ipynb

Riva - Automatic speech recognition (ASR), text-to-speech (TTS), and neural machine translation (NMT) - Deployable in all clouds, in data centers, at the edge, or in embedded devices. - https://build.nvidia.com/explore/speech