AI Con USA 2025 - Quality Assurance
Customize your AI Con USA 2025 experience with sessions covering quality assurance for software developers or testers.
Sunday, June 8
GitHub Copilot Certification Bootcamp
Monday, June 9
Getting Started with AI and Machine Learning
Are you a software professional who would like to learn to use AI and machine learning (ML), but don't know how to get started? One of the best ways to get into ML is by designing and completing small projects. Although you will ultimately need to understand the fundamentals of AI/ML, there's no reason why you can't learn foundational terms, concepts and principles as you put them into practice. Join Dionny Santiago as he introduces you to the world of applied machine learning. Dionny will guide you through a series of ML projects end-to-end, enabling you to gain experience with creating...
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...
Leveraging Generative AI for Software Productivity
Executive leaders across the globe have been asking a relatively simple yet profound question: Can we leverage generative AI to transform our business, enterprise, or industry? For software-based companies, focus has either been on differentiating their product and service offerings using this new technology. But how about leveraging generative AI to improve team productivity and efficiency? This may be possible but how do you measure its success? What are some of the key use cases within business analysis, development, and testing that software teams can use? Are there any pitfalls...
Become an AI Power User
NewImpostering a bit in the AI-verse? Overwhelmed by daily AI announcements? Unsure you're using AI most effectively? Tiny bit of FOMO? We've got you covered! In this workshop, we'll help you become an AI Power User. Become a boss at your job, whatever your role or industry! We'll show you where AI shines and where you'll want to be careful, plus toss you lots of hands-on practice. In our time together, we'll help you pinpoint YOUR niche, build a custom AI assistant, and develop a comms strategy to show off your new skills. You'll walk out with cutting-edge knowledge, a prompt library...
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
Mastering Prompt Engineering: Unlocking the Power of Prompt Patterns and Meta-Prompting Technique
As AI becomes increasingly central to professional workflows, the ability to craft effective prompts has emerged as a crucial skill. While many users struggle with trial-and-error approaches, this session introduces a systematic framework for prompt engineering based on proven patterns and and meta-prompting techniques. You'll learn how to apply specific prompt patterns such as persona, meta-language creation, and flipped interaction, and more, to achieve consistently better results. You will then explore meta-prompting - a powerful technique where AI assists in generating, refining, and...
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...