Previous Lesson:
Next Up:
-
Tips to Improve Collaboration Between Testers and Developers with Franziska Sauerwein & Maaret Pyhäjärvi01:01:55
-
API Mocking and Service Virtualization Explained with Wojciech Bulaty01:05:25
-
Highly Questionable - Being Interview Ready with Ben Kelly01:01:54
-
A Tester's Guide to Blockchain Applications with Rhian Lewis01:01:04
-
Testing Challenges in the Highly Interconnected World of IoT with Bede Ngaruko01:04:08
-
Semantic Spelunking: Exploring Testers and Problems with Damian Synadinos00:56:28
-
Multiplying the Odds with Fiona Charles00:57:39
-
Living the Dream - How You Can Lead Successful Change with Amy Phillips00:59:19
-
Testing Your Requirements with Cucumber, BDD and Example Mapping with Matt Wynne00:59:54
-
Testing Below the Application with Ash Winter00:52:02
-
Truthful Test Estimation with James Bach01:06:37
-
How To Build A Regression Checking Strategy with Mark Winteringham01:01:43
-
Saved by Antifragile by Sami Söderblom01:00:44
-
How to Identify Risk in a Large Code Base with Noah Sussman00:57:53
-
How I Interview Testers with Dan Ashby01:05:06
-
Dealing with Device Fragmentation in Mobile Games Testing with Ru Cindrea01:00:18
-
Mob Testing with Maaret Pyhäjärvi01:03:49
-
The Lone Tester with Jess Ingrassellino01:00:05
-
Where Does All That Testing Time Go? A Masterclass with Michael Bolton01:06:56
-
How to have fun & influence people: Using games to test ideas by Nicola Sedgwick00:55:46
-
Testing Microservices when the stakes are high with Anne-Marie Charrett00:59:15
-
Become The Sherlock Holmes of Software Testing with JeanAnn Harrision01:30:20
-
Continuous Delivery without Test Automation by Maaret Pyhäjärvi00:55:34
-
Getting Started in Security Testing with Dan Billing01:05:04
-
A Practical Approach To Great Test Leadership with Selena Delesie01:04:38
-
Agile Test Leadership and More! with Anna Royzman00:58:39
-
Jump Start Your Performance Testing Effort with Mark Tomlinson01:03:08
Description:
Self-driving cars, intelligent digital assistants, making parole decisions, detecting, developing new treatments and drugs, reviewing legal contracts and documents – the use of AI technology is increasingly finding its way into mainstream software development. If you are not currently working on a product or project that includes AI technology, it’s highly likely that you will be within the next 5 years.
While there are a great many resources covering AI from a development perspective there are few that deal with testing AI based software despite the challenges and risks this poses. For example:
How do we test software…
- When the decision logic is not clearly defined?
- When the results may be wrong and that’s OK sometimes
- That learns and adapts based on interactions
- To find the problems that will matter when the input domain is complex and massive
- That may need to collaborate or compete with other AI software
These are just some of the challenges of testing AI based software and while traditional software test design ideas can help but are generally not enough to explore the capabilities of AI Based software.
In this masterclass we:
- Look beyond the AI hype to form a pragmatic and useful perspective of what AI is
- Examine how testing an AI-based application differs from more traditional applications
- Explore some strategies to help you tackle testing of AI based applications
No prior experience of AI is required for this masterclass.