IT Process Optimization with DevOps and AI Consulting

Course overview

Overview of the training program This training program provides comprehensive knowledge and practical skills in the areas of DevOps and Artificial Intelligence (AI) consulting. It is aimed at professionals who want to expand their IT skills and implement strategic AI solutions in companies. DevOps Foundation Fast Track Objectives The training conveys the core concepts and values of DevOps and their application for optimizing IT processes. Participants will learn how to improve collaboration between development and operations through an adapted culture and the use of tools. Content Introduction to DevOps and agile concepts DevOps values, principles, and culture Stakeholder management and collaboration Agile methods and service management DevOps roles, toolchain, and collaboration Core DevOps practices: Continuous Integration, Delivery, and Deployment Testing methods and quality assurance Containers, microservices, and open source Lean thinking and lean production Tool landscape and automation strategies Metrics, KPIs, and performance measurement Change management and resilience Scrum, Kanban, and scaled agile frameworks Innovative practices such as ChatOps and Dojo Value stream mapping and constraint management Knowledge sharing and continuous improvement DevSecOps and Site Reliability Engineering (SRE) Application programming interfaces (API) Learning objectives Understanding the fundamental principles and benefits of DevOps. Applying agile methods to improve development processes. Implementing Continuous Integration, Delivery, and Deployment. Evaluating and selecting suitable DevOps tools and technologies. Promoting a collaborative culture to increase efficiency. Career prospects The acquired knowledge qualifies participants for roles in IT operations, software development, and project management that require a close integration of development and operations. AI Consultant (v2.0) Objectives The training enables participants to identify, analyze, and design strategic AI solutions in companies. Participants will learn how to plan, execute, and measure the success of AI projects. Content Introduction to AI consulting and its application areas. Analysis of the AI readiness of companies. Identification of business potentials through AI. Design and planning of AI pilot projects. Development of data strategies and infrastructure requirements for AI. Change management and training measures for AI implementations. Success measurement and scaling of AI solutions. Excursions to specific tools and platforms such as Flowise and Azure-based AI applications. Preparation of management presentations to present AI strategies. Overview of AI in German companies: opportunities, limitations, and success factors. Learning objectives Analyzing business processes to identify AI use cases. Developing data-driven strategies for AI projects. Designing and managing AI pilot projects. Evaluating the technical and organizational prerequisites for AI implementations. Communi…

Upcoming dates

• 2026-08-16T22:00:00.000Z · 2026-12-03T23:00:00.000Z · Hannover · Combined Learning
• 2026-08-16T22:00:00.000Z · 2026-10-08T22:00:00.000Z · Offenbach am Main · Combined Learning
• 2026-08-16T22:00:00.000Z · 2026-12-03T23:00:00.000Z · Düsseldorf · Combined Learning
• 2026-08-16T22:00:00.000Z · 2026-12-03T23:00:00.000Z · Magdeburg · Combined Learning
• 2026-08-16T22:00:00.000Z · 2026-10-08T22:00:00.000Z · Darmstadt · Combined Learning