AWS Discovery Day: Introduction to Prompt Engineering

Abstract

Prompt Engineering is a critical skill for unlocking the full potential of Generative AI. The quality of your prompts directly impacts the accuracy, relevance, and effectiveness of AI-generated outputs.

Join this AWS Discovery Day session to learn the fundamentals of Prompt Engineering and discover how to design effective prompts that drive better results from Large Language Models (LLMs). Explore practical techniques, best practices, and real-world use cases that help organizations improve productivity, automate tasks, and build AI-powered solutions.

Whether you're new to Generative AI or looking to enhance your AI skills, this session will provide a solid foundation for working with modern AI applications and AWS-powered AI services.

Date: Jul 16th, 2026

Time: 3:00 PM – 6:00 PM

Speaker: Mr. Pradeep Kumar  

Who Should Attend?

• Developers and Software Engineers
• Cloud Architects and IT Professionals
• Data and AI Practitioners
• Business Analysts and Product Managers
• Innovation and Digital Transformation Teams
• Anyone interested in Generative AI and Prompt Engineering

About the Speaker – Pradeep Kumar L

Pradeep Kumar L is a seasoned Software Consultant, AWS Authorized Instructor, and Enterprise Architect with over 20 years of industry experience. He specializes in AWS, Agentic AI, Microservices, Kubernetes, Terraform, Apache Kafka, and Spring Boot.

Having delivered training and consulting engagements for leading global organizations including AstraZeneca, Optum, Alstom, Synechron, EY, and DBS, Pradeep brings extensive hands-on expertise in designing and building secure, scalable, cloud-native applications.

He holds multiple industry-recognized certifications, including AWS Certified AI Developer – Professional, AWS Solutions Architect – Professional, AWS DevOps Engineer – Professional, and Certified Kubernetes Administrator (CKA/CKAD).

Known for his practical, workshop-driven approach, Pradeep helps professionals bridge the gap between theory and real-world implementation through interactive, use-case-based learning.