Course objectives

Gaining the ability to manage the process of implementing solutions based on Machine Learning.


Thanks to the training, the participant will be able to :

  • identify processes that can be optimized with Machine Learning
  • estimate the cost and return on investment of your Machine Learning solution
  • lead the Machine Learning implementation process
Training scope
  • Digital transformation – business consequences
  • When is it worth investing in Machine Learning? Scalability and algorithmization
  • Where to start? How to identify places where data-driven investment will bring the fastest and greatest growth?
  • Basic issues solved with Machine Learning
  • Overview of examples of usage models for solutions based on Machine Learning
  • Resources necessary to create ML solutions: data, people, computing power
  • Strategic decisions to be made: Inside the organization or outsourcing? Proof-of-concept or immediate solution?
  • Analysis of the profitability of introducing the ML solution
  • We do Machine Learning – a workshop based on a case study

Managers and specialists who would like to learn how to implement Machine Learning solutions in their organization.

Participation does not require machine learning knowledge.

The number of participants: 8-15 people

Duration: 2 days

Available language: PL / EN

Available course material: PL / EN

Course form
Presentation, lecture, discussion.

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Agnieszka Rzeczkowska

Training Practice Manager


Agnieszka Rzeczkowska

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