About this Event
In this session, we'll delve into the fundamentals and significance of prompt engineering within the realm of generative AI models. You'll learn to apply best practices for crafting effective prompts and will review real-world examples that demonstrate the impact of well-designed prompts. We’ll cover essential techniques and strategies for creating prompts that drive desired outcomes and explore a range of tools commonly used to enhance your prompt engineering process. By the end of this session, you'll be equipped with practical skills and knowledge to optimize your interactions with generative AI.
Learning Objectives:
LO 1. Discuss the concept and importance of prompt engineering in generative AI models.
LO 2. Implement best practices for crafting prompts and examine examples of effective prompts.
LO 3. Engage in common techniques and methods for designing impactful prompts.
LO 4. Investigate frequently used tools for prompt engineering to support your prompt creation process.
Lecturer:
Dr. Wael Kechli is a business strategy professor at prominent institutions Canada. He is the CEO of Techy Canada Advanced Corporation, a leading Canadian technology firm. Holding a Doctorate in Business Administration from the University of Liverpool and a Master’s in Management from IE Business School.
Dr. Wael is a co-founder of the Lebanese Spanish Business Council (LSBC), a member on the Women on Board committee at the Lebanese League for Women in Business (LLWB) and a co-founder of Alumni Central a hub for alumni of the top 29 business schools worldwide.
Dr. Kechli, who serves on the board of directors of Centre for Skills Development in Burlignton, is deeply engaged in Canada's entrepreneurial ecosystem, mentoring aspiring business leaders and contributing to various incubators and accelerators. He is also a mentor at Acheive, Acces Employment and Business in the Street NGOs in Toronto as well as several other NGOs
Event Venue & Nearby Stays
InterContinental Phoenicia Beirut, Fakhreddine, Beirut, Lebanon
EUR 0.00
