Learn how to effectively integrate generative AI into your software testing processes with our practical tutorial “Accelerating Testing Processes with Generative AI”.
Throughout this tutorial, you will explore the fundamentals of AI for testing, adopt best practices, and discover tools to optimize your testing processes.
You will develop key skills to create relevant prompts and manage error risks associated with AI models.
Learn to master conversational AI to query various LLMs effectively and integrate them into your tool chains.
Through practical exercises, you will have the opportunity to experiment with a variety of AI models and tools for testing.
Optimize your testing processes and enhance the quality of your applications by leveraging generative AI.
By the end of the tutorial, you will be able to identify the opportunities, limitations, and risks associated with the use of generative AI for testing.
Learning objectives:

Gain a comprehensive understanding of generative AI for testing.

Learn effective querying techniques.

Discover and experiment with AI tools for testing.

Identify the limitations and risks of AI-augmented testing

Language: English

Personal notebook: Requested

With over six years of experience as an ISTQB® Trainer and software testing expert, Abbas Ahmad has a proven track record of delivering high-quality training and testing solutions in complex, interconnected domains such as IoT and AI.
As the CEO of Certilog FZCO, a leading software testing consultancy in the UAE, he oversees the delivery of testing services and projects for clients across various sectors and regions.
As the President of the UAESTQB, the official representative of the ISTQB® in the UAE, Abbas provides strategic leadership and direction to the Board and foster collaboration with partners and stakeholders in the testing community.
His passion for advancing the testing profession and enhancing the testing standards is reflected in his involvement in several groundbreaking research and innovation projects, such as H2020 ARMOUR, H2020 Autopilot, and H2020 SMESEC, where he has contributed to the development of testing methodologies, frameworks, and tools for IoT security, AI detection, and cyber-security.
With a Ph.D. in Computer Science and a focus on Model Based Testing for IoT web services, Abbas has a deep understanding of the technical and business challenges and opportunities in the emerging fields of IoT and AI.
He's always eager to share his knowledge and insights with others and to learn from the best practices and experiences of the industry.