The GenAI-Assisted Test Engineer (GenAiA-TE) certification from AiU (Artificial Intelligence United) is tailored for software testing experts seeking to integrate GenAI into their routine tasks, enhancing their contributions to software quality assurance. Over a span of three days, you’ll delve into seven detailed modules, meticulously crafted to furnish you with the latest expertise and hands-on abilities. This certification program will revolutionize your approach to work, elevating you to the forefront of AI-assisted testing methodologies.
Why you should attend:
- Stay Ahead: Position yourself at the forefront of the testing field by integrating AI into your skillset. Learn how to integrate Large Language Models tools effectively and responsibly, augmenting human expertise to deliver high-quality software.
- Practical Skills: Gain hands-on experience with real-world projects and scenarios that prepare you for immediate industry impact. 85% of the training is hands-on.
- Expert Instructors: Learn from leaders in the field, bringing you the latest insights and techniques from the world of AI testing.
The certified course is structured according to the GenAI-Assisted Test Engineer syllabus from AiU (Artificial Intelligence United).
What You’ll Learn:
- GenAI-Assisted Testing: Discover the evolution of testing from manual to AI-assisted methodologies. Learn the inner workings of Language Model-based AI, its benefits in efficiency and human-guided testing, and how to overcome challenges in its implementation.
- Prompt Engineering: Master the art of crafting effective prompts, essential for guiding AI in generating high-quality test cases. Adapt to changes seamlessly and maintain quality standards with insights from seasoned professionals.
- Requirements Review: Capturing requirements is a critical step in a development life cycle, as this is where one or more individuals try to express, usually a vague notion of what is to be built in a recorded format. There can be many issues in this translation of what is supposed to be built (which could have its own issues in understanding) versus what is captured. Requirement review is a stage for one of the earliest forms of testing where testers can contribute to improving the requirements. Given the inherent complexity of requirement reviews, AI can greatly assist a tester.
- Test Generation and Optimization: Explore diverse aspects of test design, leveraging AI efficiently, experimenting with formats, and incorporating systematic techniques. Unleash your creativity with open-ended test idea exploration while considering technology and non-functional testing factors.
- Test Data: Harness the power of AI for data representation and generation, mastering techniques like regular expressions to manipulate data effectively in various formats.
- Bug Advocacy and Reporting: Large Language Models built on Natural Language Processing are especially powerful at generating and evaluating textual content in various formats. A tester can use this power to advocate bugs better by writing reports that sell.
- Further Steps: Beyond the scope of this course, there are still many current and future possibilities for AI assistance in testing. This concluding section gives a glimpse of these opportunities. It also shows how AI is not a full replacement for human intellect and how, in combination, these two forms of intelligence can do magic.
Target Audience
The AiU Certified GenAI-Assisted Test Engineer (GenAiA-TE) certification is designed for software testing professionals who would like to use the possibilities of GenAI in their daily work to maximize their software quality assurance contributions. This certification course will change how you work and bring you to state-of-the-art AI-assisted testing.
Prerequisites:
- Hands-On testing experience
- ISTQB CTFL or Equivalent Subject Knowledge specifically on test design techniques – Equivalence Partitioning, Boundary Value Analysis, Decision Tables and State Transition Testing
Technical/Equipment Requisites:
- Laptop
- Good Internet Connectivity
- ChatGPT GPT-4 Account
- (Preferrable) Admin Access on Laptop
- NO Programming experience is required.
Exam & certification:
What you should know about the AiU Certified GenAI-Assisted Test Engineer exam:
- The format of the exam is multiple choice.
- Exam duration is 60 minutes. If the candidate’s native language is not the examination language, the candidate is allowed an additional 25% (exam duration = 75 minutes).
- There are 40 questions.
- To pass the exam, at least 65% of the questions must be answered correctly.
- The total number of points for this exam should be set at 47 points. Therefore, a minimum of 31 points is required to achieve a passing score.