Send your request
Send your request
Send your request
Course objectives

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

Benefits

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
Audience

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

Participation does not require machine learning knowledge.

Course objectives

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

Benefits

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
Audience

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.

Download materials

Download

Thank You!

Sorry, something went wrong.

Please refresh the page and try again.

File upload error

No file was uploaded

Incorrect file size (max 5MB)

Invalid file format

Empty file

Processing...

Download materials

Download

Contact our experts with questions about any of our trainings

Natalia & Agata

Training Practice Team

Contact our experts

Natalia & Agata

Uploaded file:

  • danieltroc.pdf

Allowed extensions: DOC, DOCX, PDF (max 5MB)

Thank you for filling out the form

We will look over your message and get back to you as soon as possible

Sorry, something went wrong and your message couldn’t be delivered

Please refresh the page and try again

File upload error

No file was uploaded

Incorrect file size (max 5MB)

Invalid file format

Empty file

Processing...

You might also like

Business Intelligence

Data visualization

Duration:
2 days
Business Intelligence

Transformation of the organization towards data-driven

Duration:
2 days
Business Intelligence

Blockchain workshop

Duration:
1 day
Business IntelligenceMS IT Solutions

Become a Power BI Developer

Duration:
4 days
Business IntelligenceMS IT Solutions

MS Power BI

Duration:
2 days
Business Intelligence

Data Science and introduction to R

Duration:
3 days
Business Intelligence

BluePrism RPA

Duration:
5 days
Business Intelligence

Fundamentals of Data Science + Introduction to Python

Duration:
2 days

ITIL® and PRINCE2® are registered trademarks of AXELOS Limited, used under permission of AXELOS Limited. All rights reserved.
AgilePM® is a registered trademark of Agile Business Consortium Limited.
All AgilePM® Courses are offered by Sii, an Affiliate of Quint Wellington Redwood, an Accredited Training Organization of The APM Group Ltd.
Lean IT® Association is a registered trademark of the Lean IT Association LLC. All rights reserved. Sii is an Affiliate of Accredited Training OrganizationQuint Wellington Redwood.
SIAM™ is a registered trademark of EXIN Holding B.V.
All prices presented on the website are net prices. 23% VAT should be added.

SUBMIT

Ta treść jest dostępna tylko w jednej wersji językowej.
Nastąpi przekierowanie do strony głównej.

Czy chcesz opuścić tę stronę?

Einige Inhalte sind nicht in deutscher Sprache verfügbar.
Sie werden auf die deutsche Homepage weitergeleitet.

Möchten Sie fortsetzen?