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First Semester
Introduction to AI in Business
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Number of Sections :
0
Duration :
0 Minutes
Training Level :
Professional
Price
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Training Path Description

Learn the fundamentals of AI in business and how to select, design, and turn use cases into real value.

This course offers a practical, well-rounded introduction to AI in a business context—from core concepts like Machine Learning and Generative AI to how to evaluate opportunities and define the right use cases. You’ll learn principles for a data-aware strategy, understand the impact of automation, and grasp the basics of requirements, risk management, and quality. Using real-world examples and actionable frameworks, you’ll leave with a clear roadmap to start adopting AI solutions responsibly in your organization.
Accredited certificate

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What Will You Gain?

Skills related to the course

  • Differentiate AI types and when to use each
  • Define use cases linked to clear KPIs
  • Perform an initial data/readiness assessment
  • Specify essential project requirements (scope, outputs, risks)
  • Create a lightweight governance approach for privacy and security
  • Build a pilot plan and measure its impact

Training Path Objectives

  • Explain the core AI concepts in business (ML and GenAI)
  • Identify the most relevant AI opportunities for business goals
  • Assess data and operational requirements
  • Design an initial use-case concept from idea to outputs
  • Understand and manage ethical, privacy, and quality risks
  • Propose an implementable pilot-start roadmap
Quick understanding of key concepts
Use-case selection with measurable impact
A practical way to evaluate feasibility and data
Guidance on risk management and governance
Real examples you can apply immediately

Training Path Topics