NVIDIA: Prompt Engineering and Data Analysis

Resumen

NVIDIA:

Prompt Engineering and Data Analysis is the fifth course in the Exam Prep (NCA-GENL):

NVIDIA-Certified Generative AI LLMs - Associate Specialization. This course provides a comprehensive foundation in prompt engineering and data analysis techniques to optimize Large Language Models (LLMs).

The curriculum covers essential topics such as the fundamentals of prompt engineering, creating effective prompts, and leveraging P-tuning for enhanced LLM performance.

It also explores methods for analyzing text data, plotting techniques, and their importance in data visualization.

Participants will gain practical experience using tools like NVIDIA NeMo for prompt engineering and cuDF and Dask cuDF for accelerated data analysis workflows. The course is structured into two modules, supplemented with lessons and video lectures lasting approximately 3:

00-3:

30 hours.

Each module includes quizzes to test understanding and reinforce learning.

Module 1:

Foundations of Prompt Engineering

Module 2:

Data Analysis and Visualization

By completing this course, learners will be equipped to:

• Comprehend prompt engineering and its impact on LLM optimization.
• Apply P-tuning and RAG architecture for superior model performance.
• Employ data analysis and visualization techniques effectively in NLP tasks.

This course is ideal for learners aiming to enhance their skills in prompt engineering and data analysis for LLM optimization, with an emphasis on practical implementation.

Provider:

Coursera

Categories:

Data Analysis Courses, Data Visualization Courses, Prompt Engineering Courses, Text Analysis Courses

Materias