DevOps and AI Fundamentals

Course overview

This training combines DevOps with fundamentals of Artificial Intelligence (AI) and imparts basic knowledge of DevOps principles and practices as well as artificial intelligence. It covers the origins and definition of DevOps, key concepts such as Value Stream, Deployment Pipeline, and Version Control, and their application in organizations, supplemented by central AI concepts such as machine learning, data quality, and generative AI. Additionally, it addresses cultural and organizational change aspects of DevOps, as well as AI ethics, data protection, and the business case for AI. The content connects modern software development practices with technological understanding of AI. DevOps Foundation o Origins, definition, and reasons for the use of DevOps as well as common misconceptions o Central DevOps principles: Value Stream, Deployment Pipeline, Version Control, and Configuration Management o DevOps practices compared to traditional approaches o Introduction to practical application of DevOps: use cases, limitations, and use of Commercial Off-The-Shelf Software (COTS) o Development of architectures and organizational models o Interaction of Agile, Lean, and IT Service Management (ITSM) in DevOps o Exam preparation and certification: DevOps Foundation EXIN BCS Artificial Intelligence Foundation o Basics of Artificial Intelligence (AI) o Terminology, history, and types of AI as well as their societal significance and sustainable AI o AI ethics, bias, data protection, ethical principles, regulation, and risk management for AI o Application examples, robotics, basics of machine learning, as well as supervised, unsupervised, and semi-supervised learning o Data quality, data risks, data governance, big data, data visualization, large language models, generative AI, and AI training o Business case for AI, stakeholders, project management approaches, risks, costs, benefits, as well as AI governance and implementation o Career opportunities, practical examples, future impacts of AI, as well as AI awareness and ethical issues o Exam preparation and certification: EXIN BCS Artificial Intelligence Foundation Next step: Request a non-binding consultation for individual course composition and flexible start dates. This training can be combined with other courses from our offerings in IT and project management (PRINCE2®, ITIL®, Kanban, Scrum) as well as Microsoft® Office. Through the Qualification Opportunities Act, it is also possible to complete the training while working.

Upcoming dates

• 2026-10-25T23:00:00.000Z · 2026-11-19T23:00:00.000Z · Bremen · Combined Learning
• 2026-10-25T23:00:00.000Z · 2026-12-17T23:00:00.000Z · Nürnberg, Mittelfranken · Combined Learning
• 2026-10-25T23:00:00.000Z · 2026-12-17T23:00:00.000Z · Hannover · Combined Learning
• 2026-10-25T23:00:00.000Z · 2026-12-17T23:00:00.000Z · Hamburg · Combined Learning
• 2026-10-25T23:00:00.000Z · 2026-12-17T23:00:00.000Z · München · Combined Learning