The Process of Developing ML Projects
Date:
12 / 3 / 25
Time:
18:00
Registration:
Please join us by March 12th at 3:00 PM
About the Event
How do you build an effective ML project and avoid critical mistakes in development? In this webinar, we will break down every stage of the ML project lifecycle, identify key challenges, and examine real case studies of both successful and problematic projects.
What You’ll Learn
A structured overview of the ML project development process
How to apply ML development models in practice
Common mistakes and how to avoid them
Agenda
Introduction and key challenges in ML project management
In-depth analysis of ML development stages: from problem definition to implementation
AI vs. non-AI projects: key differences to consider
How to structure collaboration between data scientists, ML engineers, and business analysts
How to assess the progress and success of an ML project
Real-life case studies: why some projects succeed while others face difficulties
Q&A session
Speaker
Andrii Boichuk
Head of AI at Blackthorn AI, lecturer at Lviv Polytechnic University, and an active member of the SET Community. With over 12 years in IT and 8+ years in AI, he is responsible for the technical success, implementation, and deployment of AI projects.
Who Should Attend
ML engineers and data scientists
Developers who want to understand AI
Business analysts working with AI solutions
Students planning a career in AI
