Prompt Engineering for Leveraging AI in Teaching and Research

Build a practical, non-technical understanding of how AI and large language models work, and explore the landscape of AI tools available for academic work.

Master the fundamental principles of prompt engineering, learning the anatomy of effective prompts and how to transform weak prompts into powerful ones.

Learn and practice the three most powerful prompt engineering techniques: zero-shot and few-shot prompting, chain-of-thought reasoning, and role-based prompting.

Learn to use AI for creating comprehensive teaching materials: lesson plans, assessments, and visual aids that align with learning objectives and save hours of preparation time.

Master AI-powered techniques for differentiated instruction, creating engaging learning activities, and providing personalized feedback to students at scale.

Apply AI to the early stages of research: formulating strong research questions, conducting literature reviews, and designing robust research methodologies.

Master AI-assisted academic writing for manuscripts, abstracts, grant proposals, and peer review responses while maintaining your authentic scholarly voice.

Develop essential skills for critically evaluating AI-generated content, fact-checking claims, identifying hallucinations, and ensuring accuracy in academic contexts.

Navigate the ethical complexities of AI in academia, understand academic integrity boundaries, and develop responsible AI use policies for your institution or courses.

Synthesize everything you have learned into advanced multi-step workflows, learn to chain prompts for complex tasks, and build a personal library of reusable prompt templates.