Explore Generative AI: NCA-GENL Certification Course

Enroll in this Free Udemy Course on Generative AI and boost your career today!

Unlock your future in Generative AI with the NCA-GENL specialization. This comprehensive course is your gateway to mastering the essentials of large language models (LLMs), prompt engineering, model alignment, and the NVIDIA AI ecosystem, all crafted to prepare you for the NCA-GENL certification exam.

As an aspiring AI engineer, data scientist, or product manager, this course lays out the foundational principles of machine learning, neural networks, and self-attention mechanisms that power cutting-edge LLMs like GPT, BERT, and T5. Through engaging content and hands-on labs, you’ll learn fine-tuning strategies and prompting techniques necessary for optimizing model performance in real-world applications.

By the course’s end, you will not only possess the technical knowledge to confidently pass the NVIDIA-Certified Associate: Generative AI and LLMs (NCA-GENL) exam but also acquire practical skills to thrive in the burgeoning field of AI-driven applications. If you’re ready to step into the world of generative AI, this course is your perfect launchpad.

What you will learn:

  • Understand foundational concepts in machine learning and neural networks critical to generative AI.
  • Explain the architecture of transformers and large language models (LLMs), including attention mechanisms and training strategies.
  • Design and evaluate effective prompts using zero-shot, few-shot, and chain-of-thought techniques.
  • Compare fine-tuning, instruction tuning, LoRA, and PEFT approaches for adapting pretrained models.
  • Use key NVIDIA tools such as NeMo, Triton, RAPIDS, and TensorRT for LLM training, optimization, and deployment.
  • Apply best practices in LLM evaluation, experimentation, and reproducibility to prepare for real-world use and the certification exam.

Course Content:

  • Sections: 8
  • Lectures: 35
  • Duration: 1h 48m

Requirements:

  • Basic understanding of Python programming (e.g., variables, functions, loops)
  • Familiarity with general AI/ML terminology such as ‘model,’ ‘training,’ ‘inference,’ and ‘dataset’
  • Curiosity about generative AI technologies, including chatbots, LLMs, and prompt-based tools
  • Access to a computer with a modern browser for hands-on labs and NVIDIA-recommended tools
  • Optional but beneficial: Experience with Jupyter notebooks or platforms like Google Colab

Who is it for?

  • Aspiring AI professionals seeking foundational knowledge in LLMs, prompt engineering, and model alignment
  • Students and early-career technologists looking to validate their skills with an industry-recognized certification
  • Product managers and technical leads who want to understand how LLMs work and how to apply them in real-world scenarios
  • Engineers and data analysts exploring transitions into AI-focused roles
  • Anyone curious about building, fine-tuning, or deploying generative AI applications with NVIDIA tools

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