Udemy – NVIDIA-Certified Associate: Generative AI and LLM (NCA-GENL) 2025-2

Apr 18, 2025 - 20:01

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NVIDIA-Certified Associate: Generative AI and LLM (NCA-GENL) Course. This comprehensive and focused course is designed to prepare individuals for the NVIDIA-Certified Associate: Generative AI and LLMs (NCA-GENL) exam. The course was created by Andrew Larkin, former Cloud Academy Content Director, a leading expert in cloud computing and AI, and a 2024 AWS Community Builder. With over 100 courses written and significant industry experience and expertise, Larkin has designed this course to help participants effectively prepare for this important exam.

Andrew Larkin says his experience as a Content Manager at Cloud Academy has allowed him to help thousands of people earn their certifications by designing effective, exam-based training courses. This course uses the same principles, providing participants with all the information they need to succeed on the NVIDIA-Certified Associate: Generative AI and LLM exam. The course’s teaching methodology is clear and effective, and the content is visually engaging and interactive, while respecting the audience’s time.

What you will learn

Fundamentals of machine learning and neural networks
Principles of Prompt Engineering
Python libraries for large language models (LLMs)
Integrating and deploying large language models
Complete preparation for the NVIDIA-Certified Associate Generative AI LLMs (NCA-GENL) exam
Installing and setting up NVIDIA AI Workbench
How to get started with your first NVIDIA AI Workbench project
Basic concepts in computing
A simple explanation of the concept of prompt engineering
A simple explanation of how GPT models work
Fundamentals of Artificial Intelligence
Introduction to artificial intelligence
Graphics Processing Units (GPUs) and Their Benefits
Challenges facing artificial intelligence projects
Roles and responsibilities in AI projects
Artificial Intelligence Workflow
Data storage in artificial intelligence
Artificial Intelligence Deployment Strategies
Data visualization in artificial intelligence
Fundamentals of Generative AI
Introduction to Generative Artificial Intelligence
Natural Language Processing
How “Attention” Works in Generative Artificial Intelligence
Introduction to vectors and words
Artificial Intelligence Databases
Energy-efficient computing
Training and fine-tuning models
Prompt Engineering
Hyper-parameters
Practical lab on working with hyperparameters
Large Language Model Evaluation Metrics (LLM-Metrics)
Creating productive AI solutions using NVIDIA tools
NVIDIA Data Center Platform
NVIDIA Software Ecosystem
Practical lab using RAPIDS CuDF
NVIDIA reference architectures
Model training optimization
Deployment and Inference of Models
Inference optimization
Introduction to the RAG workflow
And…

This course is suitable for people who:

Anyone interested in the field of generative artificial intelligence and large language models.
Individuals who intend to prepare to pass the NVIDIA-Certified Associate Generative AI LLMs (NCA-GENL) exam.
Those seeking a deeper understanding of the concepts and applications of generative artificial intelligence.
Professionals and developers who want to learn about NVIDIA tools and technologies for productive AI.