1 Day

Course Overview

This course equips you with the knowledge and skills necessary to harness the power of Generative AI and LLMs for building cutting-edge applications. Whether you’re an AI practitioner, developer, or data scientist, this certification provides valuable expertise in one of the most in-demand areas of technology today. By taking this course, you’ll ensure you’re prepared for the future of AI and ready to contribute to the development of next-generation AI systems. This course specifically prepares you for the NVIDIA-Certified Associate Generative AI LLMs credential.

After completing this course of training, you will be able to:

  • Understand the basics of machine learning and neural networks
  • Develop and optimize prompts for generative AI
  • Analyze and visualize AI data effectively
  • Conduct experiments and interpret results
  • Integrate and deploy LLMs using Python libraries
  • Apply ethical principles to AI development

Upcoming Batches

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2025-04-28

1970-01-01

2025-05-05

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2025-05-12

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2025-05-19

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2025-05-26

1970-01-01

Key Features

Who should Attend?

  • AI DevOps engineers
  • AI strategists
  • Applied data scientists
  • Applied data research engineers
  • Applied deep learning research scientists
  • Cloud solution architects
  • Data scientists
  • Deep learning performance engineers
  • Generative AI specialists
  • NVIDIA LLM specialists and researchers
  • Machine learning engineers
  • Senior researchers
  • Software engineers
  • Solutions architects, System architects

Pre-requisites of NCA-GENL course :

    To enrol in this course, it is recommended to have:
  • Basic understanding of data center infrastructure

Learning objective of the NCA-GENL Certification Training:

  • Fundamentals of machine learning and neural networks
  • Prompt engineering
  • Alignment
  • Data analysis and visualization
  • Experimentation
  • Data preprocessing and feature engineering
  • Experiment design
  • Software development
  • Python libraries for LLMs
  • LLM integration and deployment

Why choose CloudThat as your training partner for NVIDIA Courses?

  • We have well-trained, experienced, and certified Subject matter experts and instructors to conduct these trainings.
  • The course guides students through specific tasks and real-world challenges to help them understand the relevance, power, and usefulness of Microsoft Word.

Course Outline Download Course Outline

  • Basic concepts and terminology
  • Key algorithms and techniques

  • Introduction to generative AI
  • Overview of large language models (LLMs)
  • Applications and use cases

  • Techniques for effective prompt creation
  • Best practices for optimizing prompts

  • Data preprocessing and feature engineering
  • Visualization techniques for AI data

  • Designing and conducting experiments
  • Analyzing experimental results

  • Python libraries for LLMs
  • Integration and deployment of LLMs

  • Ethical considerations in AI development
  • Ensuring fairness and transparency

Course Fee

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Course ID: 24762

Course Price at

$399 + 0% TAX
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FAQs on NVIDIA – Certified Associate Generative AI LLMs (NCA-GENL)

NVIDIA offers a range of courses through its Deep Learning Institute (DLI), designed to help individuals and organizations gain skills in cutting-edge technologies like AI, data science, accelerated computing, and more. These courses are available in various formats, including self-paced online training and instructor-led workshops

Yes, NVIDIA does offer some free courses through its Deep Learning Institute (DLI). These include introductory courses on topics like CUDA programming and generative AI. However, many of their more advanced or specialized courses require payment. You can explore their free course offerings from the NVIDIA website. Let me know if you'd like help finding a specific course!

Yes, NVIDIA courses often require specific software and tools, depending on the course topic.

The prior knowledge required for NVIDIA courses depends on the specific course you're interested in. Here are some general guidelines: Beginner-Level Courses: These often require little to no prior knowledge. For example, introductory courses on CUDA programming or generative AI are designed for newcomers. Intermediate and Advanced Courses: These may require familiarity with programming languages like Python or C++, basic knowledge of machine learning or deep learning concepts, and experience with tools like TensorFlow or PyTorch. Specialized Topics: Courses on AI infrastructure, GPU computing, or advanced networking might require a background in IT, data science, or related fields.

Understand Basics: Learn machine learning, generative AI, and LLM fundamentals. Key Topics: Study prompt engineering, data processing, and trustworthy AI. Relevant Tools: Gain skills in Python, frameworks (PyTorch, TensorFlow), and NVIDIA technologies. Online Courses: Explore specialized NCA-GENL prep courses from Coursera, Udemy, or NVIDIA's site. Practice: Apply your knowledge with real-world projects involving LLMs. NCA-GENL Exam Details: Review the exam blueprint; it's a 60-minute test with 50-60 questions.

Yes, many NVIDIA courses include evaluations or certifications that require payment. For example, some self-paced courses offer certificates of competency, which are available for a fee. However, there are also free courses that do not include evaluations or certifications

After successfully clearing the NCA-GENL assessment, you'll receive a digital badge and an optional certificate that validate your expertise in generative AI and large language models (LLMs) using NVIDIA solutions. This certification is valid for two years, and you can renew it by retaking the NCA-GENL exam.

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