Siemens
Expedite – Skills for Industry Microcredential Specialization
Siemens

Expedite – Skills for Industry Microcredential Specialization

Accelerate your workforce readiness. Gain industry-aligned skills required of early-career engineers to stand out to future employers.

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Get in-depth knowledge of a subject
Beginner level

Recommended experience

8 weeks to complete
at 5 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
Beginner level

Recommended experience

8 weeks to complete
at 5 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Analyze product lifecycle management and digital transformation trends to optimize engineering processes and cross-functional workflows.

  • Apply data-driven decision-making to evaluate engineering solutions, balancing technical requirements with business objectives.

  • Develop effective communication strategies to engage stakeholders and present technical solutions across diverse business contexts.

  • Evaluate business outcomes and sustainability impacts when making engineering decisions to align with organizational and environmental goals.

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Taught in English
Recently updated!

July 2025

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  • Develop a deep understanding of key concepts
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Specialization - 4 course series

What you'll learn

  • Identify the key responsibilities of a new employee in a professional setting.

  • Complete introductory engineering tasks using industry concepts and terminology.

  • Use best practices to facilitate professional communications with all colleagues and customers.

Skills you'll gain

Category: Product Lifecycle Management
Category: Digital Transformation
Category: Business
Category: Cross-Functional Collaboration
Category: Cost Benefit Analysis
Category: Data-Driven Decision-Making
Category: Product Development
Category: Business Analytics
Category: Innovation
Category: Emerging Technologies
Category: Business Communication
Category: Human Resources
Category: Customer experience strategy (CX)

What you'll learn

  • Explain the foundational concepts, historical evolution, and key functions of Electronic Design Automation (EDA) tools.

  • Evaluate the role of semiconductors, integrated circuits (ICs), IC packaging, and PCBs in modern electronic design and their connection to EDA tools.

  • Examine the applications, emerging trends, and ethical considerations of EDA in various industries.

Skills you'll gain

Category: Emerging Technologies
Category: Automation
Category: Environmental Issue
Category: Innovation
Category: Semiconductors
Category: Engineering Design Process
Category: Design
Category: Design Software
Category: Electronics
Category: Embedded Systems
Category: Computer-Aided Design
Category: Electronic Components
Category: Electronics Engineering
Category: Hardware Design
Category: Engineering
Category: Electrical Engineering
Category: Artificial Intelligence
Category: Application Specific Integrated Circuits

What you'll learn

  • Evaluate the impact of advanced PLM strategies and emerging trends on modern manufacturing practices.

  • Explore product development solutions related to managing BOM, design validation, iterative optimization, and change management in a PLM framework.

  • Assess the impact of PLM tools in addressing challenges at various product lifecycle stages and in enhancing collaboration and data integration.

Skills you'll gain

Category: Product Lifecycle Management
Category: Conceptual Design
Category: Engineering Management
Category: Communication
Category: Time Management
Category: Cross-Functional Collaboration
Category: Risk Management
Category: Design Software
Category: Artificial Intelligence
Category: Manufacturing and Production
Category: Project Planning
Category: Data Management
Category: Product Development
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: Project Management
Category: Design and Product
Category: Product Design
Category: Product Management
Category: Internet Of Things
Category: Engineering

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

Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: Cross-Functional Collaboration
Category: Engineering Practices
Category: Automation
Category: Internet Of Things
Category: Augmented and Virtual Reality (AR/VR)
Category: Artificial Intelligence
Category: Cultural Sensitivity
Category: Collaboration
Category: Emerging Technologies
Category: Business Ethics
Category: Communication
Category: Data Ethics
Category: Prompt Engineering
Category: Technical Communication
Category: Generative AI
Category: Corporate Sustainability
Category: Digital Transformation
Category: Cultural Diversity
Category: Engineering Management

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Instructor

Siemens Academic DISW
Siemens
11 Courses36,627 learners

Offered by

Siemens

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