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AI for Business Analysts: Foundations, Business Value, and the AI Project Lifecycle

By William Turner Lead Management

About Course

Artificial Intelligence is transforming how organizations analyze data, automate processes, support decision-making, and create business value. As AI adoption accelerates across industries, Business Analysts must develop the skills needed to identify AI opportunities, collaborate effectively with technical teams, define AI requirements, evaluate AI-driven insights, and manage associated risks.


This course provides Business Analysts with practical AI literacy, covering Machine Learning fundamentals, Generative AI applications, AI-assisted data analysis, AI opportunity assessment, requirements engineering for AI solutions, and AI governance.

Participants will learn how to evaluate business processes for AI suitability, write effective AI requirements, use Generative AI tools responsibly, interpret AI-driven insights, and ensure AI solutions remain ethical, explainable, and aligned with business objectives.


The course focuses on enabling Business Analysts to become effective contributors to AI initiatives without requiring advanced programming or data science expertise.

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What Will You Learn?

  • Understand the fundamentals of Artificial Intelligence (AI)
  • Differentiate AI, Machine Learning, and Generative AI
  • Understand how machine learning models learn from data
  • Distinguish between supervised, unsupervised, and reinforcement learning
  • Understand key machine learning concepts such as features, labels, training data, and testing data
  • Learn how AI is applied in real business environments
  • Understand model evaluation concepts including accuracy, precision, and recall
  • Build confidence in discussing AI initiatives with stakeholders and technical teams

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