Integrate IoT Systems with Industrial Automation. Use design thinking to make IoT work for Industrial Applications.
Instructor: Pablo Puig
Skills you'll gain
Specialization - 3 course series
This course includes interactive activities, readings, and discussion prompts to support the learning. There are also ungraded quizzes to test what was learned in each lesson, as well as a graded quiz to test what is learned in each module. There are no specific projects built within this specialization.
The course then extends its focus to Industrial Automation, shedding light on its far-reaching impact across various sectors. From the core components of Industry 4.0 to the practical applications of automation in manufacturing and logistics, participants gain valuable insights into the transformative technologies driving industrial progress. This dual exploration sets the stage for a holistic understanding of how Industrial Automation and IoT collaborate, shaping the future of industries. This introductory course is designed for all learners interested in building a strong foundation for IoT systems and industrial automation concepts. The course imparts best practices for navigating complexities in data management, analytics, security, and privacy concerns, providing practical insights crucial for safeguarding and optimizing IoT implementations. By the course's conclusion, participants will possess the skills and knowledge necessary to navigate the evolving landscapes of IoT systems and Industrial Automation effectively.
Upon completion of this course, participants will be able to: - Apply design thinking principles to develop user-centric IoT solutions for industrial settings. - Conduct effective user research, analyze findings, and formulate actionable problem statements for IoT applications. - Generate creative ideas, prioritize them based on feasibility and impact, and create prototypes for IoT solutions. - Design and execute usability tests, analyze results, and incorporate feedback to develop a final IoT solution following iterative design processes. This course welcomes learners from diverse background knowledge and experiences. Whether you're a developer, engineer, or manager in the field, this course will enhance your skills in creating IoT solutions that prioritize user needs and experiences. Learners will walk away with a comprehensive toolkit for designing innovative and practical IoT solutions. Get ready to unleash creativity, hone problem-solving skills, and dive into the dynamic world of impactful IoT design!
This course is tailored for professionals eager to deepen their understanding of IoT systems in industrial contexts. Throughout the course, you'll delve into key areas such as edge computing, data analytics, security, and the integration of IoT with robotics and automation technologies. The emphasis is in practical skills, ensuring that you are well-equipped to apply your knowledge to real-world industrial challenges. By the end of this Advanced IoT Systems Integration and Industrial Applications course, learners will be able to: - Understand the concepts, benefits, and challenges of edge computing in industrial IoT applications. - Apply advanced data analytics techniques for processing and deriving insights from IoT data, enabling data-driven decision-making in industrial applications. - Identify and mitigate security and privacy risks in IoT systems, applying best practices and developing comprehensive security and compliance plans for industrial applications. - Analyze and strategize the integration of IoT systems with robotics and automation technologies, designing holistic solutions for specific industrial use cases. Get ready to elevate your understanding, sharpen your skills, and emerge prepared to drive innovation in industrial settings.
Design Thinking for Human-Centered IoT Solutions
Advanced IoT Systems Integration and Industrial Applications
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