The rapid growth of generative AI, driven by models like OpenAI's GPT-4.1, GPT-4.5, o3, and DeepSeek’s R1, has captured the attention of consumers, businesses, and executives worldwide. These powerful language models rely heavily on the quality of input prompts, making prompt engineering a vital skill for unlocking their full potential.

• What is Prompt Engineering?
• Advanced Prompting Techniques
• Few-shot Prompting (guiding responses with examples)
• Chain-of-Thought (CoT) Prompting (step-by-step reasoning)
• Instruction Fine-tuning (enforcing specific constraints)
• Persona-based Prompting (customizing for roles)
• Multi-step Prompting (iterative output refinement)
• Debugging & Refining AI Responses
• Leveraging reasoning models like o3
• Prompt Engineering Best Practices

Attendees will depart with a clear framework and practical suggestions for crafting effective prompts and maximizing the value of AI tools.

You will learn:

• About prompt engineering basics and its role in generative AI.
• How to apply advanced prompting techniques (few-shot, CoT, persona-based, multi-step).
• How to debug and refine prompts using best practices and reasoning models like o3.