Simon Reindl

Simon Reindl is a Professional Scrum Trainer (PST) through Scrum.org. He is an experienced coach, trainer, speaker and technologist, with over 20 years of experience helping people adopt new technology and realizing business value. 

He has experience in a wide range of business domains, in both the public and private sector around the world. His professional experiences combined enable him to deliver the full range of Professional Scrum Training sessions (PSF, PSD .NET, PSM, PSPO) as a Professional Scrum Trainer, as well as coaching organizations at all levels – from the technical to the managerial. As an Engagement Manager with Scrum.org, he uses the Agility Path framework to help organizations discover how to improve their product delivery.  

His passion is helping individuals, teams, and organizations deliver better value by writing software that delights the customer. He does this by engaging with people, facilitating their understanding and helping improve their performance. His focus is to transform organizations to achieve a sustained competitive advantage by adopting agile principles and practices, and a culture of continuous adaptation. 

Upcoming courses

LLMOps on GCP

Dive into the practical aspects of deploying and managing Large Language Model (LLM) applications with the Google Cloud Platform (GCP). In this hands-on learning experience, you will learn best practices for building modular LLM applications. In the process, you will gain a solid understanding of the nuances between traditional MLOps and LLMOps. The course will also equip you with the skills to iterate and analyze production data, enabling you to identify and implement continuous improvements for real-world success. Elevate your LLMOps proficiency on GCP and gain practical insights for seamlessly integrating AI solutions into today’s dynamic technological landscape. In this hands-on learning experience, you will learn best practices for building modular LLM applications. In the process, you will gain a solid understanding of the nuances between traditional MLOps and LLMOps. The course will also equip you with the skills to iterate and analyze production data, enabling you to identify and implement continuous improvements for real-world success. Elevate your LLMOps proficiency on GCP and gain practical insights for seamlessly integrating AI solutions into today’s dynamic technological landscape.

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