Unlock the full potential of Large Language Models (LLMs) in your professional workflow through this intensive, hands-on workshop on advanced prompt engineering. As AI continues to transform business operations, understanding how to effectively communicate with LLMs has become a crucial skill for modern professionals.

This workshop goes beyond basic prompting to explore sophisticated techniques based on cutting-edge research. You'll learn and practice essential methods including Chain-of-Thought reasoning, Self-Consistency approaches, and verification strategies that significantly enhance output quality and reliability.

Through practical exercises designed for business contexts, you'll master:

• Strategic prompt construction for complex business tasks
• Advanced reasoning techniques for decision-making
• Verification methods to ensure accurate outputs
• Optimization strategies for personal and team productivity

Each participant will engage in hands-on exercises using real-world business scenarios, ensuring immediate application of learned techniques. You'll leave equipped with a toolkit of proven prompting strategies and best practices that can be immediately implemented in your professional environment.

An EDGE:  Intermediate AI Prompting virtual badge will be distributed after completion of the workshop. 

A $25 no-show fee will be charged to your student account if you are registered and do not attend the workshop. If you are registered and do not plan on attending, please de-register by February 9th at 10 am.  
 

Suffolk University's commitment to the success of all students—including those with disabilities—means that we ensure full access to University programs and services. If you have questions concerning access or wish to request any disability-related accommodations that will facilitate your full participation, please contact businessgrad@suffolk.edu at least one week prior to the event. Requests submitted after this time will still be considered but depending on the nature of your request, our ability to accommodate may be limited.