Training in the basics of artificial intelligence

Training:

The fundamentals of artificial intelligence

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Presentation

Autonomous cars, facial recognition, automated work: artificial intelligence is transforming the world and impacting every sector of activity.

In the next decade, companies that fail to embrace AI will find themselves outstripped by their competitors.

If the term fascinates as much as it worries, what does it actually mean?

  • What is Artificial Intelligence?
  • What is its history and development?
  • Which sectors are affected, and by which uses?
  • What are the opportunities and risks involved?
  • Can I develop an intelligent, learning model myself?

Datakeen offers training on "The basics of AI" for anyone wishing to discover and deepen their understanding of this fundamental subject.

The aim of this training course is to demystify Artificial Intelligence, give you use cases for your sector of activity and enable you to easily put into practice what we mean today by AI.

Our training course, entitled The basics of artificial intelligence, is accessible to all, and requires no technical prerequisites.

 

For more information, please send an e-mail to contact@datakeen.co

or call us on 01 80 88 32 99.

Duration: 1 day (7h)

Price: €890 excl.

Location: Paris La Défense

Dates: February 13 (Full), 20, 21, 28, March 6, 20 and April 3

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Training program

8h45 - 9h00 - Welcome coffee

 

9:00 am - 11:00 am

  • What is AI? 
    • Definitions
    • Machine Learning, Deep learning, what is it? 
    • Fields of application? Concrete examples
  • History of AI
    • The origins
    • Milestones
    • The different currents
  • The AI ecosystem: the different players 

 

11h00 - 11h15 - Break

 

11:15 a.m. - 1:00 p.m.

  • The different algorithms/ building blocks/ fields of study of AI
    • Automatic reasoning or expert systems
    • Machine learning
    • Deep learning
  • Major use cases :
    •  Image processing, language processing, robotics...
  • AI business applications: 
    • Banking, industry, healthcare, public sector, defense...

1:00 pm - 2:00 pm - Lunch

2:00 pm - 5:00 pm: Practical workshop 

  • The notion of learning
  • Example: recognizing fruit and vegetables
  • Getting started with Jupyter Notebook
  • Ethics and AI: what are we talking about?

17h00 - 17h30 - Conclusion

  • Summary of points discussed
  • Additional questions/answers

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