Master Class in Prompt Engineering for Generative AI Tools
Learning Objectives
Upon completion of this comprehensive and engaging course, you will be able to:
- Explain what a prompt is in the context of Generative AI platforms
- Implement the C.L.E.A.R Framework to engineer successful Generative AI prompts
- Identify the 6 core components of an effective Generative AI prompt
- Follow a 5-step prompting process to achieve your Generative AI output goals
- Describe effective iterative prompting strategies for Generative AI platforms
- List and avoid common Generative AI prompting pitfalls
Instructor
Muhammad Irfan, MSc is an international thought leader at the cutting-edge of transforming higher education through the effective use of artificial intelligence (AI) tools. Recognizing AI’s potential to streamline processes and enhance scholarly communication, Muhammad is dedicated to empowering both aspiring as well as established researchers. He completed his MSc in Healthcare Biotechnology at the National University of Sciences and Technology (NUST) and currently serves as a Clinical Research Associate. His research on viral oncology has been published in leading peer-reviewed journals including Scientific Reports, MDPI Vaccines, The European Journal of Medical Research, and Cancer Cell International.
9888 Windy Hollow Rd
