AI Management, DevOps, and Marketing Campaigns with AI

Course overview

AI Management and Conversational AI Course Objective The course provides knowledge on managing AI systems and applying conversational AI. It addresses technological foundations and methodological approaches in the field of Artificial Intelligence. The focus is on the systematic analysis and implementation of chatbot applications. Content is delivered in the context of current developments in AI management. Content The course "AI for Project Managers" covers the fundamentals of Artificial Intelligence, its applications in project management, and the use of foundation models and open-source AI tools. Topics such as the implementation of AI projects, ethical, data protection, and legal frameworks, as well as the evaluation of AI solutions are discussed. Furthermore, soft skills for AI projects, such as communication, leadership, and change management, are addressed. An excursion into project management and an additional topic on working with ChatGPT complement the content. The course "DevOps Foundation Fast Track" imparts the key terms and concepts of DevOps. It covers the introduction to DevOps and agile concepts, DevOps values, principles, culture and behaviors, stakeholders and collaboration, as well as agile methods and service management. Central DevOps practices such as Continuous Integration, Delivery, and Deployment, testing methods, and quality assurance are also explained, along with containers, microservices, and open-source software. Lean thinking, lean production, metrics, KPIs, and performance measurement, change management, and resilience are additional components. The course also addresses Scrum, Kanban, and scaled agile frameworks, innovative practices such as ChatOps and experiments, value stream analysis, continuous improvement, and knowledge sharing. The course "Marketing: Campaign Creation with AI" focuses on the structured, planned, and measurable creation of marketing campaigns incorporating AI. Content includes an introduction to campaign creation from strategy to implementation, campaign goals and types, target audience engagement and promises, messages, and creative hooks. Additionally, channels and touchpoints, the customer journey, campaign assets and advertising materials, campaign setup, as well as automation and processes are covered. Performance analysis, learnings, reporting and presentation of results, as well as scaling and automating campaigns with AI are also part of the course. Learning Objectives Analysis of the fundamentals of AI management Identification of tasks in the area of conversational AI Application of methods for implementing chatbot applications Development of concepts for integrating AI systems Conducting evaluations of the deployed solutions Understanding the core concepts and practices of DevOps Ability to apply agile methods in the DevOps context Knowledge of implementing Continuous Integration and Continuous Delivery Ability to analyze and improve processes using DevOps principles Development…

Upcoming dates

• 2026-08-16T22:00:00.000Z · 2026-11-05T23:00:00.000Z · Bielefeld · Combined Learning
• 2026-08-16T22:00:00.000Z · 2027-01-28T23:00:00.000Z · Dortmund · Combined Learning
• 2026-08-16T22:00:00.000Z · 2027-01-28T23:00:00.000Z · Freiburg im Breisgau · Combined Learning
• 2026-08-16T22:00:00.000Z · 2027-01-28T23:00:00.000Z · Magdeburg · Combined Learning
• 2026-08-16T22:00:00.000Z · 2026-11-05T23:00:00.000Z · Freiburg im Breisgau · Combined Learning