With the Additive Minds Academy training program, you will benefit from more than 30 years of AM expertise. Whether you are just getting started or you are already a skilled AM expert - with us you will grow your AM understanding and skills.
Additive manufacturing (AM) is an innovative technology and calls for the highest degree of skill. Our training portfolio caters to a wide range of users, such as machine operators, application specialists or even product managers. The training components are closely linked to every element in the EOS services portfolio, like Additive Minds Consulting and Global Services. This way, we help ensure that your requirements are always taken into account.
The Additive Minds Academy is based on a blended learning concept combining education with traditional classroom methods. Our hybrid teaching methodology boosts your learning efficiency helping you to reach your full potential for AM. All of our trainers have years of experience with EOS technology and processes and are familiar with many of the goals you are trying to achieve.
Are you familiar with engineering and production, but want to expand your AM knowledge?
Our pre-assessments help you choose the best path so you engage with the appropriate learning track. This also ties in perfectly with your onboarding process to ensure each team member acquires the knowledge they need in the shortest possible time.
Is your team ready, or do you still need expertise to get started with AM?
Here you can align the best training with your level of AM understanding. With the new learning paths of the Additive Minds Academy we combine our AM know-how into seven structured and results-driven learning paths cover all the roles required to successfully build your AM program.
Flexible solutions that meet your AM learning needs…
Your time is limited and we know that day-to-day business can sometimes be an obstacle so we offer you more online course offerings with a variety of methods so that you can decide when and where you want to learn. Each learning path consists of different phases including theoretical knowledge, self-study, feedback and practical experience.