Benefit from end-to-end offering of data science, machine learning and SRE trainings.
On the one hand, our entry-level trainings empower your team to get equipped with modern data analytics skills and particpate in data and AI initiatives.
On the other hand, our advanced trainings enable your experienced data scientists and IT teams not only to build and run successful machine learning applications, they also enable your organization for DevOps and MLOps.
Data has always been at the center of science. Data science and machine learning now offer revolutionary ways of analyzing and leveraging it for various purposes.
The increasing amount of data is both a chance and a challenge. A chance because modern analysis tools such as neural networks necessitate large data sets. A challenge because the data and experiment management workflow gets increasingly intricate.
The number of “Citizen Data Scientists” will grow five times faster than the number of highly skilled specialists (Gartner, 2017). Domain experts with data science skills not only work more efficient but are also empowered to use their domain knoweldge when applying modern analysis tools.
Challenges across industries are complex and diverse. We find a similar diversity in the methods of modern data scientists. This allows domain experts to find tools that perfectly align with their business and research questions.
We offer comprehensive and instructor-led trainings with an effective and entertaining mix of theory and labs.
Our trainings are developed and delivered by a combination of industry-experienced practitioners as well as research-oriented scientists and education professionals.
You can benefit from our holistic experience in consulting, engineering and training to implement custom-tailored training programmes for you, that are adapted to the needs of your organization and environment. The modules listed here are non-exhaustive options.
Why is it more important than ever to develop scalable, secure, and reliable software systems?
Scaling up is of course beneficial, but maintaining reliability, security and safety standards at scale presents a significant challenge. The implementation of SRE focuses on how to build and run services at scale.
However, understanding how to apply the SRE principles and practices is complex. They can be applied to DevOps and Continuous Delivery for general software systems or to MLOps for machine learning system development and operations.
Google is both a frontrunner and prime example of how to implement SRE. However, what works for Google, may not work for other companies in the same way, especially for those not born in the cloud.
We offer comprehensive and practical trainings with an effective and entertaining mix of theory and labs.
Our training is devlopped and delivered by industry-experienced SRE experts and includes the principles and practices of the thought-leading "Effective SRE" (by Digital Architects Zurich). It consists of hands-on labs structured in a storyline that takes an app from simple deployment to continuous delivery and verification with observability-based SLO engineering and operations efficiency.
You can benefit from our holistic experience in consulting, engineering, and training to implement custom-tailored training programmes for you, that are adapted to the needs of your organization and environment. The modules listed here are non-exhaustive options.
If you are interested in any of our trainings or a custom-tailored workshop for your organization, please reach out.