Generative AI – Google Vertex AI – For QA Engineers

Google Vertex AI , Boost Efficiency, AI Automation, AI Helper, AI Data, Generative AI

This introductory course is designed specifically for Software Quality Engineers interested in leveraging the power of Generative AI to enhance their testing, automation, and productivity.

What you’ll learn

  • How to Use Goole Vertex AI for Quality Engineering.
  • Improve Test automation with AI.
  • Setup CI/CD pipelines with Vertex AI.
  • Improve efficiency of working wit AI.
  • Perform a validation for stories with Generative AI.
  • Use Generative AI as a tutor.
  • SQL and VertexAI.
  • Generate and manipulate Test Data with AI.

Course Content

  • Introduction –> 1 lecture • 3min.
  • Setup Vertex AI in Google Cloud Platform –> 9 lectures • 23min.
  • VERTEX AI – Artifact Generator / Accelerator –> 5 lectures • 19min.
  • VERTEX AI for code Generation –> 13 lectures • 58min.
  • Understanding Concepts –> 12 lectures • 49min.
  • Conclussions –> 1 lecture • 5min.

Auto Draft

Requirements

This introductory course is designed specifically for Software Quality Engineers interested in leveraging the power of Generative AI to enhance their testing, automation, and productivity.

Throughout the course, participants will learn how to apply Generative AI techniques to automate the generation of test cases, simulate user behavior, create user stories, and generate test data. The course will provide a practical understanding of how AI can be used to improve software quality and boost productivity, rather than focusing on the underlying AI algorithms and models.

Topics:

  1. Understanding Generative AI: An overview of Generative AI and its applications in software testing and quality assurance.
  2. Automated Test Generation: Learn how to use Generative AI to automatically generate a variety of test cases, reducing manual effort and increasing test coverage.
  3. Automated User Story Creation: Understand how Generative AI can be used to generate user stories, helping to streamline the requirements gathering and software development process.
  4. Test Data Creation: Learn how Generative AI can be used to generate test data, ensuring comprehensive and effective testing while saving time and effort.
  5. Code Investigation: Discover how Generative AI can assist in investigating complex code, identifying potential issues, and understanding code dependencies.
  6. Code Explanation: Learn how Generative AI can be used to explain code behavior, making it easier to understand complex code and improve code quality.
  7. Boosting Productivity: Understand how these Generative AI techniques can be integrated into your existing workflows to boost productivity, improve software quality, and accelerate delivery times.
  8. AI Model Trainer. Lean how to train your own AI model
  9. Understand CI/CD Concepts with AI
Get Tutorial