Kenny Baas-Schwegler

Kenny Baas-Schwegler is a socio-technical organization designer and software architect. He blends IT approaches like Domain-Driven Design and Continuous Delivery and facilitates change through using visual collaboration practices, the Cynefin framework and Deep Democracy. 

A lot of knowledge is lost when designing and building software — lost because of handovers in a telephone game, confusing communication by not having a shared language, discussing complexity without visualization and by not leveraging the full potential and wisdom of the diversity of the people. That lost knowledge while creating software impacts the sustainability, quality and value of the software product. Kenny empowers and collaboratively enables organizations, teams and groups of people in designing and building sustainable quality software products. 

One of Kenny’s core principles is sharing knowledge. He does that by writing a blog on his website baasie.com and helping curate the Leanpub book visual collaboration tool. Besides writing, he also shares experience in the Domain-Driven Design community as an organizer of Virtual Domain-Driven Design (virtualddd.com) and Domain Driven Design Nederland. He enjoys being a public speaker by giving talks and hands-on workshops at conferences and meetups. 

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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Trainer content

Disciplines

Software
Engineering