Trainings
Benefit from our end-to-end offering of data, machine learning, and SRE trainings.
Enterprise Trainings
Explore our enterprise trainings and find the best fit for your organization!
On the one hand, our entry-level trainings empower your team to get equipped with modern data analytics skills and participate 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 DataOps, DevOps and MLOps.
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Data Science & Machine Learning
Learn how to turn data into value!
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Data Management
Get familiar with the fundamentals!
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Effective MLOps
Successfully deploy and run your ML models!
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Site Reliability Engineering (SRE)
Because great SREs are not hired, they are trained!
Data Science & Machine Learning
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.
Our Offer
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.
Training Content Options
- Data Science Fundamentals
- Data Science Workflow
- Data Engineering
- Machine Learning Fundamentals
- Domain & Use Case Specific AI Libraries
- Machine Learning & Deep-Learning Frameworks
- Building & Running an AI Application
- Evaluating Machine Learning Models & Systems
- Continuous Delivery & MLOps
Data Management
Data management is the process of ingesting, storing, organizing, and maintaining the data created and collected by an organization. Effective data management is a crucial piece of deploying the IT systems that run business applications, provide analytical information to various stakeholders and decision-makers, and serve as the foundation for ML and AI.
Learn about the core principles and techniques for organizing, storing, and manipulating data in a way that optimizes efficiency and accessibility. The goal is to gain insights into the fundamental concepts of data management to effectively bring value with your data to your internal consumers or the market.
Understand the essential components and stages involved in managing a data platform and learn about the lifecycle management of data to support reliable and scalable data-driven solutions.
Gain knowledge on industry-recommended approaches and strategies for effectively managing data. Find out about and how to leverage the best practices to ensure accurate, reliable, and compliant data management within your organization.
Our Offer
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.
Training Content Options
- Definition & Scope of Data Management
- Fundamental Concepts
- Data Platforms
- Data Lifecycle
- Data Operating Model & DataOps
- Implement your Data Product
- Industry-recommended Approaches & Best Practices
Effective MLOps
Becoming data- and ML-driven and generating the desired value from data and AI includes successful product operationalization, operations, and service (level) management.
MLOps practices such as version control, continuous integration, and testing can help ensure that ML models are developed in a reproducible way and that they are reliable in production.
Environments and platforms that provide access to organized, focused data sets reduce the amount of data engineers and scientists needed to ship an ML model and allow them to move faster, which reduces time wastage and wastage of funds. It also facilitates collaboration with other teams, e.g., IT, DevOps and business.
MLOps practices such as monitoring and alerts can help organizations to monitor the performance of their machine learning models more effectively and to identify and resolve any issues that arise. This keeps the end users of your ML services happy.
Our Offer
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.
Training Content Options
- Introduction to MLOps
- Data, Model & Experiment Management
- Tooling & Infrastructure
- Containerization & Deployment
- CI, CD & CT Pipelining
- Testing, Validating & Serving ML Systems
- Monitoring for ML Systems
Effective SRE Training
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.
Our Offer
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.
Training Content Options
- SRE Fundamentals
- SLOs, SLIs & Monitoring
- Operations Efficiency
- Observability & AIOps
- Advanced Practices & Architecture Patterns
- Building & Automating CD Pipelines
- Continuous Verification (CV)
- Scheduling & Provisioning
- Security & Automation
- On-Call & SRE Culture
Interested?
If you are interested in any of our trainings or a custom-tailored workshop for your organization, please reach out.
Address
Nauenstrasse 634052 Basel
Switzerland