Course Overview
- Course Title: NCA-GENL: NVIDIA-Certified Generative AI LLMs Specialization
- Instructor: Vivian Aranha (AI Specialist, IT Professional Trainer, Principal Engineer)
- Target Audience:
- Aspiring AI engineers
- Data scientists
- Product managers
- Tech-savvy learners interested in transformer-based models and generative AI
- Prerequisites:
- Basic understanding of Python programming (variables, functions, loops)
- Familiarity with AI/ML terminology (e.g., model, training, inference, dataset)
- Curiosity about generative AI, chatbots, LLMs, and prompt engineering
- Access to a computer with a modern browser for hands-on labs
- Optional: Experience with Jupyter notebooks or Google Colab
Curriculum Highlights
- Key Topics Covered:
- Foundational machine learning and neural networks for generative AI
- Transformer architecture and attention mechanisms
- Large language models (LLMs) and training strategies
- Prompt engineering (zero-shot, few-shot, chain-of-thought)
- Fine-tuning techniques (LoRA, PEFT, instruction tuning)
- NVIDIA AI tools (NeMo, Triton, TensorRT, RAPIDS, cuDF, Base Command)
- LLM evaluation, experimentation, and reproducibility
- Key Skills Learned:
- Designing and evaluating effective prompts for LLMs
- Comparing model adaptation techniques (fine-tuning, LoRA, PEFT)
- Using NVIDIA tools for LLM training, optimization, and deployment
- Applying best practices in LLM evaluation and reproducibility
- Preparing for the NCA-GENL certification exam
Course Format
- Duration: 2 hours of on-demand video
- Format: Self-paced online course
- Resources:
- Access on mobile and TV
- Certificate of completion
- Hands-on labs with NVIDIA-recommended tools