Live Session "Beyond Basic Prompting: Unlocking Prompt Engineering"
This lightning lesson will introduce you to the fundamentals of structured prompting, showing you how small changes in how you prompt can lead to dramatically better results. You’ll learn how to optimize your prompts for clarity, specificity, and control, ensuring the AI delivers responses that truly meet your needs.
What you'll learn:
📌 Recognize the limitations of basic prompting
Understand why simple prompts often lead to inconsistent Identify common pitfalls of trial-and-error prompting
📌 Use key prompting techniques for better control and accuracy
Understand the importance of structured output formats for repeatable results.
📌 Understand the shift from manual prompt. to programmatic PE
Learn how prompt templates, automation, and API-based evaluations optimize AI workflows.
📌 Powering Retrieval-Augmented Generation (RAG) and Agentic AI
See how AI agents use structured prompts to decide actions, interact with tools, and adapt behavior.
📌 Enhance reasoning and decision-making with better prompts
Learn how advanced prompting techniques reduce hallucinations and improve logical reasoning.
🔍 Instructor:
Sheamus McGovern founded ODSC (The Open Data Science Conference), one of the world’s leading AI conferences and communities. He also serves as a Venture Partner and Head of AI at Cortical Ventures, a venture fund focused on advancing AI and machine learning innovation.
Prior to founding ODSC, Sheamus had a diverse career as a data engineer, software architect, and AI expert. His professional journey began in finance, where he worked for leading financial institutions and quantitative hedge funds. Over the years, he has consulted with startups and enterprises in finance, healthcare, and eCommerce, helping develop cutting-edge, data-driven applications and AI solutions.
Sheamus holds degrees from Northeastern University, Boston University, and Harvard University, as well as a Certificate in Quantitative Finance (CQF).
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