Future of Industry is the fourth course in the Siemens Expedite – Skills for Industry microcredential. It examines how artificial intelligence (AI) and digital transformation both shape innovation and support sustainability practices. Participants learn the importance of integrating digital tools into their workflows, collaborating across global teams, and applying AI responsibly. With a focus on technologies such as immersive engineering and ethical AI deployment, alongside sustainability practices, this course equips learners with the skills and knowledge to lead and adapt in the increasingly interconnected world of the future.

Expedite – Skills for Industry: Future of Industry
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Expedite – Skills for Industry: Future of Industry
This course is part of Expedite – Skills for Industry Microcredential Specialization

Instructor: Siemens Digital Industries Software
Included with
Recommended experience
What you'll learn
Demonstrate effective communication strategies tailored to diverse, international audiences within engineering environments.
Synthesize the impacts of immersive and digital technologies on industry and broader environmental and societal outcomes.
Analyze the interdisciplinary applications of engineering principles in a global, sustainable, and ethically responsible context.
Skills you'll gain
- Communication Strategies
- Digital Transformation
- Ethical Standards And Conduct
- Prompt Engineering Tools
- AI Enablement
- Data Ethics
- Artificial Intelligence
- Artificial Intelligence and Machine Learning (AI/ML)
- Collaboration
- Sustainable Technologies
- Cultural Diversity
- Cultural Sensitivity
- Cross-Functional Collaboration
- Augmented and Virtual Reality (AR/VR)
- Teamwork
- Sustainable Development
- Sustainable Engineering
Tools you'll learn
Details to know

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8 assignments
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Build your subject-matter expertise
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate

There are 4 modules in this course
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