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Digital Skills Training

Microsoft 365 Copilot: Generative AI at the Office

About This Course

The use of generative artificial intelligence through Copilot in the Microsoft 365 environment can significantly enhance workplace productivity by streamlining tasks and simplifying workflows. To fully benefit from these capabilities, targeted training is essential. This training program focuses on developing practical skills for using Copilot in activities such as document creation, data analysis, visual content generation, and workflow optimization.

Who Should Attend

  • Professionals from the public and private sectors, self-employed individuals, and job seekers whose work involves the use of computers and digital applications.

Learning Outcomes

Upon the completion of the program, participants will be able to:

  • Identify tasks that are suitable for automation using Microsoft Copilot.
  • Understand the capabilities, limitations, and functionality of Copilot within the Microsoft 365 environment.
  • Use Copilot to create, edit, and optimize documents, presentations, and emails.
  • Analyze data, extract insights, and generate concise reports using Copilot in Excel and Teams.
  • Produce visual and creative content using the “Create” functionality of Copilot.
  • Apply best practices related to ethics, security, and personal data protection when using artificial intelligence tools.
  • Explore advanced artificial intelligence concepts, such as AI agents and forms of customized AI solutions.
Duration: 6 hours
Location: The Cyprus Institute
Mode of Delivery: In-Person
Next Sessions: TBA
Cost: Free
Instructor: Dr Christodoulos Stylianou

Trainers

Senior Research Engineer

Christodoulos (Chris) is a Senior Research Engineer at The Cyprus Institute, helping organizations leverage high- performance computing (HPC) and artificial intelligence to accelerate innovation and solve complex problems. Chris has led training and skills development initiatives through the EuroCC2 project, and has delivered technical programs and proof-of-concept solutions for academia, industry, and the public sector. His work spans deep learning for encrypted traffic classification, scalable HPC workflows, and automated benchmarking pipelines.

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