Introduction of Machine Learning solutions in the organization

Why take this course

Do you want to know when and how to introduce Machine Learning solutions in your organization? This course will teach you the fundamentals of the technology, how to assess its scalability and algorithmization, and how to identify processes that can be optimized. You’ll gain the skills to manage the entire implementation process, from cost assessment to execution.

What you'll learn

• Identify processes in your organization that can be optimized with Machine Learning.
• Estimate the costs and potential return on investment for ML solutions.
• Lead the implementation process for a Machine Learning solution.
• The core concepts that Machine Learning can address.
• The resources necessary to create ML solutions (data, people, computing power).

Certification & Exam

Upon completion of the training, you will receive a certificate of participation, confirming your skills in managing the implementation of Machine Learning solutions. There is no final exam—all you need is active participation in the classes.

Who is this course for

This course is designed for managers and specialists who want to learn how to implement Machine Learning solutions in their organization. No prior knowledge of Machine Learning concepts is required to participate.

Topics covered

• 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