AI Con USA 2025 - Test Automation Engineer
Customize your AI Con USA 2025 experience with sessions covering test automation for engineers.
Monday, June 9
Supercharging Software Development with AI: A Deep Dive into Amazon CodeWhisperer & Amazon Q
NewThis workshop explores how Amazon CodeWhisperer and Amazon Q can enhance software development and business operations through AI-driven automation, covering everything from AI-assisted coding and testing to code and data migration. It starts with CodeWhisperer, showcasing how AI can automate repetitive tasks, suggest optimized code, and improve development efficiency. Then, it dives into Amazon Q, demonstrating its capabilities in code modernization, testing, and greenfield development. Participants will engage in hands-on exercises to migrate existing applications, leverage AI for testing...
Tuesday, June 10
Prompt Engineering for Software Practitioners
With the sudden rise of ChatGPT and large language models (LLMs), practitioners are using these tools for all aspects of engineering. This includes leveraging LLMs for creating software artifacts such as requirements documents, source code, and tests; reviewing them for issues and making corrective suggestions, and analyzing or summarizing results or outcomes. However, if LLM's are not fed good prompts describing the task that the AI is supposed to perform, their responses can be inaccurate and unreliable. Join Tariq King as he teaches you how to craft high-quality AI prompts and...
A Quality Engineering Introduction to AI and Machine Learning
Although there are several controversies and misunderstandings surrounding AI and machine learning, one thing is apparent — people have quality concerns about the safety, reliability, and trustworthiness of these types of systems. Not only are ML-based systems shrouded in mystery due to their largely black-box nature, they also tend to be unpredictable since they can adapt and learn new things at runtime. Validating ML systems is challenging and requires a cross-section of knowledge, skills, and experience from areas such as mathematics, data science, software engineering, cyber-security,...
Wednesday, June 11
Real-World Open Source Agentic Testing Framework: TestZeus
Test automation is evolving from manual scripting to AI-driven collaboration, where AI agents work together to ensure reliable test execution. This presentation introduces TestZeus, an open-source framework that leverages LLMs to transform Cucumber/Gherkin specifications into automated tests. Robin Gupta will explore its architecture and demonstrate how it handles common challenges like shadow DOMs and iframes. Learn how to implement and debug this next-generation framework, positioning yourself at the forefront of intelligent test automation. Join Robin to discover how TestZeus can...
Thursday, June 12
Continuous Testing for AI Applications
In the era of artificial intelligence, software testing has evolved from a finite phase in development to an ongoing, dynamic process of monitoring. Unlike traditional deterministic systems, AI-driven applications operate probabilistically, introducing variability and uncertainty in outputs even with consistent inputs. This paradigm shift requires a rethinking of testing strategies, moving towards continuous monitoring to ensure performance, fairness, and reliability in production environments. This session will explore how QA teams can integrate AI-specific methods, anomaly detection, and...