Free Training: Introduction to Prompt Engineering for Generative AI
This course teaches the fundamentals of prompt engineering, explaining how large language models work and how to use them responsibly for text and image generation. It covers major tools like Copilot, ChatGPT, Gemini, Claude, DALL·E, and Midjourney, and introduces more advanced skills such as fine‑tuning prompts and using APIs.
Instructor: Ronnie Sheer
Released: 08/28/2024
Length: ~1 hour, 3 minutes
Platform: LinkedIn Learning
Skill Level: Beginner
Purpose: To introduce learners to prompt engineering by teaching foundational and advanced techniques for effectively using generative AI tools across text and image generation platforms.
Introduction to Prompt Engineering for Generative AI
This course teaches the fundamentals of prompt engineering, explaining how large language models work and how to use them responsibly for text and image generation. It covers major tools like Copilot, ChatGPT, Gemini, Claude, DALL·E, and Midjourney, and introduces more advanced skills such as fine‑tuning prompts and using APIs.
Start Your Training Here!* Please sign in at the top of the LinkedIn Learning Website with your TAMU email address.
This course will provide the following:
- Joining the NLP revolution
- What is prompt engineering?
- Tokens vs. words
- Large language models
- Diving into ChatGPT
- ChatGPT voice mode on mobile
- Taking Google Gemini for a ride
- Exploring Microsoft Copilot
- Few-shot learning with Claude
- Prompt best practices
- Challenge: Zero-shot, few-shot learning
- Solution: Zero-shot, few-shot learning
- The AI-generated image landscape
- Trying out Dall-E
- Trying out Midjourney
- Challenge: Generating a poster
- Solution: Generating a poster
- Creating a custom GPT
- Multimodality in AI
- Model fine-tuning
- Interacting with language models using an API
- Warning: Use responsibly
- Continuing your AI journey
- More resources
