First Semester
Introduction to AI in Business
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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
Get an accredited attendance certificate for the training
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
