Artificial Intelligence and Machine Learning Skills for the Testing World
Software continues to revolutionize the world, impacting nearly every aspect of our work, family, and personal life. Artificial intelligence (AI) and machine learning (ML) are playing key roles in this revolution through improvements in search results, recommendations, forecasts, and other predictions. AI and ML technologies are being used in platforms for digital assistants, home entertainment, medical diagnosis, customer support, and autonomous vehicles. Testing practitioners are recognizing the potential for advances in AI and ML to be leveraged for automated testing—an area that still requires significant manual effort. Tariq King and Jason Arbon will introduce you to the world of AI for software testing. Learn the fundamentals behind autonomous and intelligent agents, ML approaches including Bayesian networks, decision tree learning, neural networks, and reinforcement learning. You’ll discover how to apply these techniques to common testing tasks such as identifying testable features, generating test flows, and detecting erroneous states. Come and train your first artificial brain on how to test software.
Jason Arbon is the CTO at test.ai where his mission is to test all the worlds apps. Google’s AI investment arm lead test.ai’s latest funding round. Jason previously worked on several large-scale products: web search at Google and Bing, the web browsers Chrome and Internet Explorer, operating systems such as Windows and ChromeOS, and crowd-sourced testing infrastructure and data at uTest.com. Jason has also co-authored books such as How Google Tests Software and App Quality: Secrets for Agile App Teams.