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Transform the way you work with generative AI

This training is for professionals looking to better understand how generative AI can enhance their daily work.

Upcoming sessions

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  • Duration: 0.5 days
  • Regular price: $395
  • Preferential price: $355tip icon

Course outline

Duration : 3,5 hours

© AFI par Edgenda inc.

Generative artificial intelligence (generative AI) is redefining the professional world, offering unprecedented opportunities to optimize processes, stimulate creativity and boost productivity. This 3.5-hour training course is aimed at professionals from all sectors - whether in communications, administration, technology or management - who want to better understand how generative AI can improve their daily lives and enhance organizational performance in a responsible and optimal way.

Whether you're curious or already ready to explore the world of generative AI, this course will provide you with clear benchmarks for confidently adopting this technology and maximizing its benefits within your organization.

Audience

Any professional likely to use generative AI in their work context

Prerequisites

n.a.

Objectives

  • Demystify generative AI: understand how it works, its capabilities and limitations.
  • Identify the concrete benefits that generative AI can bring to everyday tasks.
  • Become aware of the risks and ethical issues associated with its use.
  • Discover the most common generative AI tools and their applications.

Teaching method

Presentations - Demonstrations

Contents

Contextualizing generative AI in the world of work
  • Impact of generative AI on professions and work organization
Understanding generative AI
  • Definition and basic principles
  • Concrete examples to illustrate its potential
Most popular use cases
  • Automating common tasks
  • Supporting creativity and productivity
Most commonly used generative AI tools
  • Overview of popular tools and their scope of application
Writing effective prompts
  • Elements of a clear and accurate prompt
  • Techniques for improving the quality of responses
Risks and limitations to consider
  • Bias, data security when using references and verifying results
Good practices for responsible and effective use
  • Strategies for validating and refining generative AI responses
  • Integration of AI tools into work routines and continuous improvement: encourage experimentation, analysis of results and progressive adjustment of practices to maximize long-term benefits.
Conclusion
  • Summary and resources for further reading