Latest in Prompt Engineering Techniques

Prompt engineering has evolved from simple instructions into a structured discipline for designing reliable and scalable interactions with AI systems . As use cases grow more complex, effective prompting now requires clear reasoning strategies, role definitions, and iterative refinement .

In this session, we will explore modern techniques such as Chain of Thought, Multi-Shot Prompting, Self-Consistency, and Persona Prompting . You’ll learn how to break down tasks into structured steps, guide model behavior with defined roles, and improve output quality using systematic approaches.

This session is designed to provide a practical understanding of advanced prompting techniques , helping you move beyond basic prompts to build more robust and efficient AI-driven solutions .

Key Takeaways:

• Evolution of Prompt Engineering – from basic prompts to structured workflows
• Advanced Techniques – Chain of Thought, Multi-Shot, Self-Consistency, and Persona Prompting
• Structured Reasoning – breaking tasks into step-by-step processes
• Prompt Optimization – improving reliability through iteration and refinement
• Practical Applications – building scalable AI-driven solutions

Sriram is an AI/ML Subject Matter Expert with over a decade of experience working across Machine Learning, Cloud, and Generative AI.