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Microsoft

Real Life Applications of AI Engineer Skills

Microsoft via edX

Overview

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This course bridges the gap between academic theory and professional practice for recent graduates. You will learn to evaluate complex business requirements and map them to appropriate Azure AI services like Vision, Language, and Speech. We cover essential operational monitoring using GenAIOps metrics such as latency, token usage, and reliability signals. You will also master the Microsoft Responsible AI Standard to ensure safe and ethical deployments. The course includes a comprehensive capstone action plan and a career-focused skills matrix evaluation.

Syllabus

  • Evaluate business requirements to determine AI suitability.
  • Propose application plans utilizing specific Azure services.
  • Assess production health using GenAIOps monitoring metrics.
  • Apply Responsible AI Standard to mitigate deployment risks.
  • Identify personal skill gaps using AI maturity frameworks.

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