Rise of AI Academy - AI for managers

This training is dedicated to C-level, product and project managers with limited technical knowledge. During the webinar you learn: * Machine learning taxonomy * Tools overview * AI-based project workflow * AI transformation * Building AI teams * Quality control Many data science or machine learning projects fail due to mistakes done during the project development. We can group the mistakes into a few most popular that if known earlier can make your project successful. The training also gives a better understanding of the topic of artificial intelligence for technical and non-technical managers. We go through the process of the AI transformation and show a few tips on how to make the transformation easy. Many managers also try to build machine learning related projects in an agile process in a similar way as it’s done in a typical software development project. We show how to do it right and structure the team. Another important topic that is covered in the training is related to quality and signs when to stop the development or research. Finally, we go through several business cases and show customers challenges, expectations and how we solved it. Target Audience: Managers having any kind of machine learning related project Data scientists or developers who want to avoid mistakes made while building a machine learning project Participants will understand: what types of machine learning methods exist, how to make due diligence of a data science project, what kind of roles are important in the structure of an AI company. Participants will be able to avoid common mistakes made while developing a machine learning-based solution. Outline: Introduction to machine learning Buzzword-driven machine learning projects Common mistakes and failures AI transformation Data science team structure Quality of a data science team outcome Online only event! You will receive your log-in data before the event. No previous knowledge required. Webinar language: English