AI and Automation in Logistics (m/f/d)

Course overview

The AI and automation specialist in logistics develops intelligent systems to optimize supply chains. They implement machine learning algorithms for demand forecasting, control autonomous transport systems, and program smart robotics for warehouse processes. Additionally, they analyze process data, identify automation potentials, and integrate AI-based decision systems. Their tasks include programming robot controls, developing predictive maintenance solutions, and designing digital twins for logistics networks. They work at the interface between computer science and logistics. AI-supported process automation - Optimizing operational processes through intelligent information systems • Understanding the future field of AI & automation - Application areas, trends, and certification opportunities • Automating processes with AI and RPA - Implementing industry solutions with real use cases • Technological tools for AI applications - Utilizing ML, NLP, CV & cloud tools in practice • Preparing business processes for AI - Designing analysis, mapping, and system integration • Benefits, risks, and success factors of AI - Technical, ethical, and human challenges • Rethinking business models with AI - Successfully establishing platform and subscription models • Designing trustworthy AI - GDPR, fairness, and governance in implementation • Measuring and optimizing the impact of AI projects - Tools, KPIs, and continuous improvement Supply Chain Management - Planning and controlling modern production and delivery processes • Structure and fundamentals of supply chain planning and control • Methods and AI-based approaches for sales and demand planning • Master Planning: Production programs, capacity balancing, and digital planning tools • Material requirements planning and inventory management: MRP, disposition, and digital optimization • Logistics Execution: Smart transport planning, route optimization, and shipment tracking • Green Planning & Control: ESG integration, CO₂ reduction, and circular economy • Digital performance monitoring and AI-based early warning systems for planning and control Robotik & Autonomous Systems in Industry 5.0 • Understanding robots, analyzing industrial applications - Recognizing autonomous systems in production • Industrial robots & cobots in application - Programming & real-time sensor technology in practice • Driverless transport systems & drone solutions - Mobile robotics in logistics & industry • AI for image recognition, navigation & maintenance - Edge & 5G for connected robotic systems • MRK safety concepts & ergonomics in practice - Integrating assistance systems in production • Applying digital twins & cyber-physical systems - Implementing secure, connected robot production • Saving CO₂, automatically utilizing resources - Designing sustainable robotic processes • From quantum robotics to space technologies - Understanding the future of autonomous robotic systems Supply Chain Management - Strategies for optimizing the sup…

Upcoming dates

• 2026-10-18T22:00:00.000Z · 2027-02-21T23:00:00.000Z · Bautzen, Sachsen · Combined Learning
• 2026-10-18T22:00:00.000Z · 2027-02-21T23:00:00.000Z · Ludwigsburg, Württemberg · Combined Learning
• 2026-10-18T22:00:00.000Z · 2027-02-21T23:00:00.000Z · Dortmund · Combined Learning
• 2026-10-18T22:00:00.000Z · 2027-02-21T23:00:00.000Z · Heidelberg, Neckar · Combined Learning
• 2026-10-18T22:00:00.000Z · 2027-02-21T23:00:00.000Z · Dortmund · Combined Learning