NVIDIA: Prompt Engineering and Data Analysis is the fifth course of the Exam Prep (NCA-GENL): NVIDIA-Certified Generative AI LLMs - Associate Specialization. This course equips learners with a solid foundation in prompt engineering, data analysis, and visualization techniques for optimizing Large Language Models (LLMs).
NVIDIA: Prompt Engineering and Data Analysis
NVIDIA: Prompt Engineering and Data Analysis
This course is part of Exam Prep (NCA-GENL): NVIDIA-Certified Generative AI LLMs Specialization
Instructor: Whizlabs Instructor
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Intermediate level
Recommended experience
3 hours to complete
3 weeks at 1 hour a week
Flexible schedule
Learn at your own pace
What you'll 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.
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Recently updated!
February 2025
Assessments
4 assignments
Taught in English
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This course is part of the Exam Prep (NCA-GENL): NVIDIA-Certified Generative AI LLMs Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 2 modules in this course
Welcome to Week 1 of the Foundations of Prompt Engineering course. This week, we will cover the basics of prompt engineering, starting with an introduction to prompt design and its fundamentals. We will explore techniques for creating effective prompts and dive into the concept of prompt-efficient fine-tuning. We'll also introduce NVIDIA NeMo, a powerful tool for prompt engineering, and walk through a practical demo using an LLM. Finally, we will explore the RAG Architecture of LLMs, highlighting how it integrates with prompt engineering for improved results. By the end of the week, you'll have a solid foundation in prompt engineering and be ready to apply these techniques in real-world scenarios.
What's included
8 videos2 readings2 assignments1 discussion prompt
Welcome to Week 2 of the Data Analysis and Visualization course. This week, we will dive into techniques for analyzing text data, exploring how to effectively process and visualize it. We will demonstrate text data visualization with a practical demo, helping you understand key techniques for making data more interpretable. Next, we will cover the different types of plots and their importance in conveying insights from data. Finally, we will discuss accelerated data analysis workflows using cuDF and Dask cuDF, enhancing your ability to handle large datasets efficiently. By the end of the week, you'll be well-versed in text and structured data analysis and visualization techniques, ready to apply them in real-world scenarios.
What's included
6 videos3 readings2 assignments
Instructor
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