Fundamentals in Scrum, DevOps, and AI

Course overview

This training combines Agile Scrum Foundation, DevOps Foundation, and EXIN BCS Artificial Intelligence Foundation into a program for agile IT projects and modern software delivery. Scrum structures development into sprints, DevOps connects development and operations through automation, continuous delivery, and a shared work culture. The AI component covers artificial intelligence, machine learning, and generative AI in the IT environment. This creates a foundational package for work in modern IT and project management. The length of the training depends on the composition of the course modules and individual prior knowledge. Agile Scrum Foundation o Agile mindset: Values and principles of the Agile Manifesto, distinction from traditional project management methods o Scrum roles: Product Owner, Scrum Master, and development team along with their responsibilities o Scrum events: Sprint Planning, Daily Scrum, Sprint Review, and Sprint Retrospective o Scrum artifacts: Product Backlog, Sprint Backlog, and Increment as well as Definition of Done o Estimation techniques: Planning Poker, triangulation, and story points for effort estimation o Exam preparation and certification: Agile Scrum Foundation DevOps Foundation o Origin, fundamental principles, and cultural values of the DevOps approach o Integration of development and operations teams to improve communication and collaboration o Basic concepts of Continuous Integration and Continuous Delivery in the software lifecycle o Automation of work steps and use of cloud and container technologies o Evaluation of process efficiency and delivery quality based on relevant metrics o Exam preparation and certification: DevOps Foundation Artificial Intelligence Foundation o Fundamentals of Artificial Intelligence (AI) o Terminology, history, and types of AI as well as its 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®, Scrum, ITIL®, Kanban) as well as Microsoft® Office. Funding for employees: The training can be completed alongside work and can be funded for employees under the Qualification Opportunities Act (QCG) according to § 82 SGB III…

Upcoming dates

• 2026-11-08T23:00:00.000Z · 2026-12-31T23:00:00.000Z · Bremen · Combined Learning
• 2026-11-08T23:00:00.000Z · 2026-12-03T23:00:00.000Z · Bremen · Combined Learning
• 2026-11-08T23:00:00.000Z · 2026-12-03T23:00:00.000Z · Bremen · Combined Learning
• 2026-11-08T23:00:00.000Z · 2026-12-03T23:00:00.000Z · Oldenburg (Oldb) · Combined Learning
• 2026-11-08T23:00:00.000Z · 2026-12-03T23:00:00.000Z · Nürnberg, Mittelfranken · Combined Learning

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