AI Con USA 2025 - Test Management
Customize your AI Con USA 2025 experience with sessions covering test management.
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,...