NVIDIA: Prompt Engineering and Data Analysis
Completed by YU XIAO
March 12, 2026
3 hours (approximately)
YU XIAO's account is verified. Coursera certifies their successful completion of NVIDIA: Prompt Engineering and Data Analysis
What you will learn
Understand prompt engineering and its role in LLM optimization.
Apply P-tuning and RAG architecture for improved model performance.
Utilize data analysis and visualization techniques for effective NLP tasks.
Skills you will gain
- Category: Plot (Graphics)
- Category: Retrieval-Augmented Generation
- Category: Prompt Engineering Tools
- Category: Data Processing
- Category: Large Language Modeling
- Category: Fine-tuning
- Category: Data Visualization Software
- Category: Text Mining
- Category: Unstructured Data
- Category: Data Analysis
- Category: Model Optimization
- Category: Prompt Engineering
