Advanced Prompt Engineering for Everyone
Master advanced prompt engineering techniques for AI models, from in-context learning to retrieval augmented generation.
Master advanced prompt engineering techniques for AI models, from in-context learning to retrieval augmented generation.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full ChatGPT: Master Free AI Tools to Supercharge Productivity Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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What you'll learn
Master in-context learning for improved AI outputs
Implement retrieval augmented generation effectively
Create template-based prompts for consistent results
Develop advanced writing personas for AI
Apply machine learning concepts through prompts
Optimize AI outputs using advanced formatting techniques
Skills you'll gain
This course includes:
3.8 Hours PreRecorded video
4 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 5 modules in this course
This advanced course delves deep into sophisticated prompt engineering techniques for generative AI. Students learn about in-context learning, retrieval augmented generation (RAG), and template-based formatting. The curriculum covers writing personas, machine learning applications, output control, and practical applications from social media analysis to survey interpretation. Special emphasis is placed on preference-driven refinement and building reliable, consistent prompts.
Writing & In-context Learning
Module 1 · 2 Hours to complete
Think More, Not Less, Prompting for Options
Module 2 · 1 Hours to complete
Prompt Engineering: Machine Learning for Everyone
Module 3 · 2 Hours to complete
Controlling Output Formatting In-depth
Module 4 · 1 Hours to complete
Retrieval Augmented Generation (RAG)
Module 5 · 41 Minutes to complete
Fee Structure
Instructor
Professor of Computer Science at Vanderbilt University
Dr. Jules White is a Professor of Computer Science at Vanderbilt University, where he also serves as the Director of the Initiative on the Future of Learning & Generative AI and the Associate Dean of Strategic Learning Programs in the School of Engineering. He is recognized for creating one of the first online courses in Prompt Engineering, which focuses on effective communication with AI systems. A recipient of the National Science Foundation CAREER Award, Dr. White has published over 160 papers and has received multiple Best Paper Awards for his research. His work primarily explores large language models, including ChatGPT, as well as topics in cybersecurity and software engineering across various sectors such as healthcare and manufacturing. He leads the Mobile Application Computing, Optimization, and Security Methods (MAGNUM) Group at Vanderbilt University, where he conducts his research and development efforts.
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