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1
Introduction and Speaker Background
2
Overview of NearForm and Session Goals
3
Understanding Prompt Engineering
4
Prompt Engineering in Quality Assurance
5
Steps for Effective Prompt Engineering
6
Examples of Good Prompts
7
Challenges in Traditional Test Automation
8
Advanced Prompt Engineering Techniques
9
Managing and Tracking Prompts
10
Custom GPTs and Documentation Chatbots
11
Using Agents and Knowledge Memory
12
Prompt Engineering in QA Phases
13
Conclusion and Key Takeaways
14
Final Thoughts and Contact Information
Description:
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Discover how to revolutionize quality assurance processes through AI in this 27-minute conference talk from Conf42 Prompt 2024. Explore comprehensive strategies for implementing prompt engineering in QA workflows, from basic concepts to advanced techniques. Learn effective prompt creation methods, understand the challenges of traditional test automation, and master the implementation of custom GPTs and documentation chatbots. Dive into practical applications of agents and knowledge memory systems while gaining insights into integrating prompt engineering across different QA phases. Gain valuable knowledge about managing and tracking prompts, creating effective testing frameworks, and leveraging AI tools to enhance quality assurance processes. Perfect for QA professionals, developers, and technology leaders looking to modernize their testing approaches with AI-driven solutions.

Enhancing AI-Driven Quality Assurance with Prompt Engineering

Conf42
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