Lesson 22:
Generative AI - Prompt Engineering for Natural Language Processing
Course Content
Lesson Plan
In this lesson, students will be guided through understanding Generative AI and Prompt Engineering for Natural Language Processing (NLP) applications.
The lesson includes an in-depth review of prompting from Lesson 8. If the students are already proficient at this point in the course, then skip the review slides (as noted below) and focus on the hands-on prompting activities. Students will reflect on ethical AI use, explore various NLP applications, and practice using Text-to-Speech (TTS) tools to create a song.
Objectives for the slides
1. Distinguish between good and bad prompts for NLP
2. Use generative AI tools to explore NLP
applications such as text generation,
translation, and summarization
3. Reflect on the ethical and effective use of AI-
generated text in real-world applications
4. Learn how NLP powers Text-to-Speech (TTS),
and practice using TTS tools