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IoT Systems and Industrial Applications
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IoT Systems and Industrial Applications

Learn IoT fundamentals, from technology to business models, in this comprehensive course for innovators and entrepreneurs.

Course Cost

₹ 13,942

Intermediate

Skill Level

7 Weeks

Self-paced lessons

Dive into the world of Internet of Things (IoT) with this comprehensive course that bridges technology and business. Explore the fundamental building blocks of IoT systems, from edge computing to cloud infrastructure, while learning to develop business models for IoT applications. The course covers cutting-edge topics like edge AI, security in IoT, and design thinking for product development. Ideal for innovators, entrepreneurs, and professionals looking to understand and leverage IoT technologies in various industries.

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4.3

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David Atienza

David Atienza

Bettina Buechel

Bettina Buechel

English

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olive-leaves-logo

4.3

olive-leaves-logo

English

David Atienza

David Atienza

Bettina Buechel

Bettina Buechel

What you'll learn

  • Understand the fundamental concepts and components of Internet of Things (IoT) systems

  • Develop a comprehensive business model canvas for IoT applications

  • Explore edge computing concepts and their role in IoT architectures

  • Analyze communication standards and cloud infrastructure options for IoT businesses

  • Evaluate security requirements and techniques specific to IoT systems

  • Examine various artificial intelligence technologies and their application in edge AI systems

  • Apply design thinking principles to IoT product development and business model creation

Skills you'll gain

Internet of Things
Edge Computing
Cloud Infrastructure
Business Model Canvas
Design Thinking
Artificial Intelligence
IoT Security
Communication Standards
Big Data

This course includes:

PreRecorded video

Graded assignments, exams

Access on Mobile, Tablet, Desktop

Limited Access access

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Share your certificate with prospective employers and your professional network on LinkedIn.

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Top companies offer this course to their employees

Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

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There are 7 modules in this course

This course provides a comprehensive introduction to Internet of Things (IoT) systems and their industrial applications. It covers the fundamental technologies behind IoT, including edge computing, communication standards, and cloud infrastructure. The course also delves into crucial aspects such as IoT security, artificial intelligence in IoT, and edge AI systems. A unique feature of this course is its focus on the business side of IoT, teaching students how to develop business models and value propositions for IoT applications using tools like the Business Model Canvas and design thinking methodologies. Throughout the seven weeks, students will learn about IoT components, communication platforms, and how to optimize edge AI sensors for specific applications. The course aims to equip learners with both technical knowledge and business acumen necessary for success in the rapidly evolving IoT landscape.

Overview of IoT Technologies and Business Links

Module 1

Business Model Canvas

Module 2

IoT Components and Design Thinking

Module 3

Edge AI Sensors Optimization for IoT Applications and Developing Value Propositions

Module 4

Communication and Cloud Platforms, and Linking With the Development of Business Models for IoT

Module 5

Edge Machine Learning in the IoT Era

Module 6

Security in IoT Products and Services

Module 7

Fee Structure

Reviews

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Faculties

These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.

David Atienza
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1

Course

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David Atienza is a Professor of Electrical and Computer Engineering at École polytechnique fédérale de Lausanne (EPFL) and the head of the Embedded Systems Laboratory (ESL). With over 15 years of experience in the field, he specializes in next-generation embedded systems for the Internet of Things (IoT), focusing on smart objects and their integration into everyday applications. Atienza earned his Bachelor's and Master's degrees from Complutense University of Madrid and completed his Ph.D. in integrated circuit design and embedded systems design through a joint program with IMEC in Belgium. He has held various academic positions at EPFL since 2008, advancing to full professor status in 2021. His research interests encompass hardware-software co-design, energy-efficient computing systems, and thermal-aware optimization techniques for multi-processor systems-on-chip (MPSoCs). Atienza's contributions to the field have been recognized with numerous accolades, including being named an IEEE Fellow and an ACM Fellow for his work on high-performance integrated systems. He has published over 400 papers, co-authored two books, and holds multiple patents, solidifying his reputation as a leading figure in embedded systems research and development.
Bettina Buechel
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1

Course

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Bettina Buechel is a Professor of Strategy and Organization at IMD, specializing in helping large corporations navigate the challenges of digitization. With a focus on strategy implementation, new business development, and change management, she works closely with CEOs to enhance organizational capabilities and drive strategic priorities. Buechel has led numerous custom programs for major companies such as Nestlé, Tetra Pak, and AGC, emphasizing the importance of addressing underlying barriers to successful strategy execution. She has published extensively, including the "Strategy Execution Playbook," and developed innovative pedagogical tools like simulation games to enhance learning in executive education. Her academic contributions have appeared in leading journals, and she has received accolades for her work, including an EFMD Excellence in Practice Gold Award for a program developed for the Moroccan state-owned firm OCP. In addition to her academic role, Buechel is an angel investor and works with venture capital firms to support startups, reflecting her commitment to fostering innovation and strategic growth in various sectors.
Amir Aminifar
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1

Course

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Amir Aminifar is an Assistant Professor in the Department of Electrical and Information Technology at Lund University, Sweden. He previously served as a Senior Lecturer and Research Associate at the Embedded Systems Laboratory (ESL) at EPFL. Aminifar received his Ph.D. from the Swedish National Computer Science Graduate School (CUGS) at Linköping University in 2016. His research focuses on privacy-preserving and edge machine learning applications within the Internet of Things (IoT), mobile health, and medical informatics domains. He has been instrumental in developing novel algorithms for federated learning, emphasizing energy efficiency and robustness in resource-constrained environments. In addition to his research contributions, Aminifar teaches courses on Artificial Intelligence and Machine Learning for IoT, fostering the next generation of engineers in these critical fields. His work aims to enhance the security and functionality of smart technologies in healthcare and other sectors while addressing the challenges posed by data privacy and system efficiency.
IoT Systems and Industrial Applications

Intermediate

Skill Level

7 Weeks

Self-paced lessons

Course Cost

₹ 13,942

Completion

CERTIFICATE

Frequently asked Questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.