Accelerate digital transformation with AI and Data Science courses. Discover how to leverage data for smart decision-making, automate processes, and build intelligent AI applications that create immediate value within your organisation.
AI and Data Science turn data into insights and action. Organisations improve processes, predict developments, and make better-informed decisions by applying smart analytics and automation.
Symbol’s courses teach participants how to apply AI and data in practice. You will develop skills in analysis, automation, and building AI solutions, enabling you to create immediate value within processes and decision-making.
AI and Data Science combine statistics, data analysis, and technology to discover patterns and insights. Organisations use these techniques to improve processes, make predictions, and respond more quickly to market and operational changes. If you would like to learn how to accelerate and simplify your work, please contact our training advisor.
During our practical courses, you will work with tools and applications such as ChatGPT, CoPilot, Disco, and Minitab Solution Center. You will learn how to build AI agents, analyse data, automate processes, and visually inspect products. During the training, we do not just introduce you to the theory, but we also concretely build and test a number of techniques.
By applying AI and Data Science, you improve efficiency, reduce costs, and increase quality. You will learn how to build AI agents that simplify and accelerate your work. You will also learn how to automate repetitive tasks. The goal is to develop smart solutions that are immediately applicable.
Our training advisors are happy to help, whether it concerns open registration, in-company training, or bespoke courses.
Consultant | Trainer
Business Dev. | Consultant | MBB
Consultant
Consultant | Trainer
Process Mining is the modern version of Value Stream Mapping. With Process Mining, you analyse logistical data from a specific process. All you need for this are four columns of data: the unique product, the process step, the start time, and potentially the end time. Analysing this data with specialist software provides visual insight into work-in-progress, lead times, bottlenecks, and workarounds.
Not always. Many courses are accessible without programming experience. For more technical courses, such as Python, basic knowledge of data or programming is an advantage but not a requirement.
In these courses, we cover techniques applied within quality management and continuous improvement. Participants are introduced to building AI agents to design quality documents faster and better. Furthermore, you will be introduced to Process Mining (a modern version of Value Stream Mapping), Robotic Process Automation, and Visual Inspection.
AI agents are digital assistants that independently perform tasks or support decisions. In the course, you will learn how to build these in ChatGPT and CoPilot, and how to apply them within quality management, customer service, planning, or process automation.
RPA is technology used to automate repetitive, rule-based tasks. Examples include processing data, entering information, or executing standard processes without human intervention.
