Skip to main content

Section outline

    • Introduction to Generative AI and LLMs
      • Fundamentals of AI, ML, Deep Learning.
      • Overview of LLMs.
    • Prompt Engineering
      • Writing effective prompts for testing scenarios.
      • Techniques and best practices.
    • Gen AI in Testing
      • Requirements analysis.
      • Exploratory testing and brainstorming.
  • Advanced Gen AI-Driven Testing

    • Test case and data generation.
    • Writing unit tests, UI testing, and API testing.
    • E2E testing and automation script generation.
    • Documentation for brownfield projects.
    • Custom GPTs and Private LLMs
      • Developing custom GPTs for tailored workflows.
      • Deploying private LLMs and using RAG techniques.
    • Data and IP Protection
      • Mitigating AI biases and hallucinations.
      • Protecting confidential data.
    • Course Recap and Closing Notes