SKILL BENCHMARK

Generative AI Foundations for IT Competency (Intermediate Level)

  • 9m
  • 9 questions
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The Generative AI Foundations for IT Competency (Intermediate Level) benchmark measures your working experience with artificial intelligence (AI) and common tools and practices in the information technology (IT) domain. You will be evaluated on your skills in improving the reliability of generative AI applications, optimizing and fine-tuning advanced generative AI models, designing AI models with a focus on legal and compliance considerations, and more. A learner who scores high on this benchmark demonstrates an intermediate-level understanding of AI, generative AI, and the best practices associated with both when used in IT. They can work independently with some supervision from a more advanced AI practitioner.

Topics covered

  • configure a log analytics workspace and diagnostics settings to enable analytics for generative AI resources
  • describe ethical considerations and biases in AI, with a focus on their impact on responsible AI model development
  • design an AI model with a strong focus on legal and compliance considerations, ensuring alignment with regulatory requirements
  • evaluate a generative AI model using Azure AI Studio’s evaluation feature
  • identify real-world implications of biased AI models, addressing their ethical and social consequences
  • identify SRE tools and platforms that incorporate advanced generative AI capabilities for enhanced incident management and monitoring
  • improve site reliability by implementing a backoff mechanism to avoid rate limiting errors in generative AI applications
  • optimize and fine-tune advanced generative AI models
  • provide an overview of generative AI and SRE advancements with a focus on how Azure based technologies can adapt and innovate in the space