AI for Testers
Artificial Intelligence (AI) has taken the world by storm, increasing the productivity of workers in a wide range of industries, especially software. But, it’s also understandably led to uncertainty and fear about the personal and implications for disciplines such as software testing.
If you’re interested in cutting through the hype and understanding how AI affects the testing profession, then this course is for you. In this hands-on class, you will learn how to test systems with AI components and how to apply AI to the process of testing itself.
Key takeaways from this class include:
- Learn how to effectively test and validate AI model input data and datasets.
- Understand how to effectively test AI models during model development and training.
- Apply effective testing techniques to software systems that include AI models.
- Learning how to leverage AI to support test case and script generation.
- Understand how to leverage AI to support test planning and management.
Who Should Attend
This course is ideal for those who test AI-based systems or wish to use AI to support their current software testing activities. This includes those in hands-on testing roles or test managers, as well as software developers and development managers.
Laptop and RDP Required
This class involves hands-on activities using sample software to better facilitate learning. Each student should bring a laptop with a remote desktop protocol (RDP) client pre-installed. Connection specifics and credentials will be supplied during class. Please work with your IT Admin before class to verify that your RDP client can be used to access a virtual machine running in the Amazon Web Services (AWS) environment. If you or your Admin have questions about the specific applications involved, contact our Client Support team.
Session 4: AI-Assisted Test Planning and Management
- AI-based testing process
- Prompt engineering for testers
- AI in test planning & documentation
- AI for defect management
- Using AI to generate and transform test data
- Demos and Hands-on Exercises
Session 5: AI-Assisted Testing
- How AI helps testing
- AI capabilities that support test automation
- AI-based test script generation
- AI-assisted UI testing
- Using AI to optimize regression test suites
- Demos and Hands-on Exercises
Session 6: Wrapup
- Aha moments
- References
- Course survey
- Next steps and additional information
- Easy course access: Attend training right from your computer and easily connect your audio via computer or phone. Easy and quick access fits today’s working style and eliminates expensive travel and long days in the classroom.
- Live, expert instruction: Instructors are sought-after practitioners, highly-experienced in the industry who deliver a professional learning experience in real-time.
- Valuable course materials: Courses cover the same professional content as our classroom training, and students have direct access to valuable materials.
- Rich virtual learning environment: A variety of tools are built in to the learning platform to engage learners through dynamic delivery and to facilitate a multi-directional flow of information.
- Hands-on exercises: An essential component to any learning experience is applying what you have learned. Using the latest technology, your instructor can provide hands-on exercises, group activities, and breakout sessions.
- Real-time communication: Communicate real-time directly with the instructor. Ask questions, provide comments, and participate in the class discussions.
- Peer interaction: Networking with peers has always been a valuable part of any classroom training. Live Virtual training gives you the opportunity to interact with and learn from the other attendees during breakout sessions, course lecture, and Q&A.
- Small class size: Live Virtual courses are limited in small class size to ensure an opportunity for personal interaction.
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