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Vahab Iranmanesh

This course is designed for IoT Product Developers, Cybersecurity professionals, and enterprise IT leaders who wish to understand the technological landscape to ensure their products are secure and fit for their purpose. This course serves as an introduction to the specialization. Upon completion, learners will be able to identify key architectural components of edge computing networks, compare various types of devices and sensors utilized in edge computing, identify challenges associated with edge networks, compare key principles of cybersecurity, identify potential security vulnerabilities in edge networks, list security protocols, explain data privacy and confidentiality, and more.

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This course is designed for IoT Product Developers, Cybersecurity professionals, and enterprise IT leaders who wish to understand the technological landscape to ensure their products are secure and fit for their purpose. This course serves as an introduction to the specialization. Upon completion, learners will be able to identify key architectural components of edge computing networks, compare various types of devices and sensors utilized in edge computing, identify challenges associated with edge networks, compare key principles of cybersecurity, identify potential security vulnerabilities in edge networks, list security protocols, explain data privacy and confidentiality, and more.

Module 1 includes topics such as the architecture of edge networks, edge computing technologies, devices and sensors, network infrastructure, communication technologies, and more. In Module 2, you will explore the various applications of edge networks such as IoT, Smart Cities, autonomous vehicles, healthcare, industrial automation, and retail and energy management. Module 3 will consist of several topics including common security vulnerabilities as well as the challenges and fundamental concepts in security and privacy.

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What's inside

Syllabus

Module 1: Exploring the Landscape of Edge Computing
Welcome to Module 1 of our comprehensive "Security at the Edge" course. In this module, we will lay the foundation for understanding edge computing and communication technologies, setting the stage for a deep dive into edge security. Engage with interactive content, including videos, quizzes, and simulations, to reinforce your understanding of edge computing and communication. By the end of this module, you will have a solid foundation in edge computing and communication technologies, and the core concepts of edge computing, its evolution, and its significance in today's digital landscape.
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Module 2: Exploring Application and Confronting Challenges in Edge Networks
Welcome to Module 2 of our "Security at the Edge" course. In this module, we will explore the diverse applications of edge networks in crucial domains such as healthcare, IoT, automation, and the development of smart cities. Additionally, we will delve into the unique challenges that edge networks face. By the end of this module, you'll have a comprehensive understanding of how edge networks are shaping industries like healthcare, IoT, and Automation, as well as their role in the development of Smart Cities. You'll also be well-versed in the unique challenges that come with implementing edge solutions. Get ready to explore the fascinating world of edge network applications and tackle the complexities of edge network challenges. This knowledge will be invaluable as you progress in securing edge environments in the subsequent modules.
Module 3: A Closer Look at Edge Network Security and Privacy
Welcome to Module 3 of our "Security at the Edge" course, where we delve into the critical aspects of cybersecurity in edge networks. In this module, we'll explore key principles of cybersecurity, intrusion detection and prevention strategies specific to edge environments, essential security protocols, data transmission security, data flow in edge networks, edge network privacy, and data localization. By the end of this module, you'll have a comprehensive understanding of cybersecurity principles, effective intrusion detection and prevention techniques in edge networks, essential security protocols, and strategies for securing data, ensuring privacy, and addressing data localization requirements in edge environments. Let's dive into Module 3 and equip you with the knowledge and skills needed to safeguard edge networks effectively.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Ideal for IoT Product Developers looking to develop secure IoT products
Useful for Cybersecurity professionals wanting to learn about securing edge networks
Relevant for Enterprise IT leaders responsible for securing edge networks
Provides a solid introduction to edge computing for those new to the field
Covers key security vulnerabilities and challenges in edge networks
Led by Vahab Iranmanesh, an experienced instructor in edge computing and cybersecurity

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Edge Computing Fundamentals with these activities:
Review computing technologies
Refresh your computing skills by exploring the architectures, devices, sensors, and communication protocols covered in Module 1.
Browse courses on Edge Computing
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  • Summarize the key components of edge networks.
  • Compare and contrast different types of devices and sensors used in edge computing.
Design an edge computing network
Demonstrate your understanding of Module 1 by designing an edge computing network for a specific application, such as IoT or industrial automation.
Browse courses on Edge Computing
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  • Identify the components and architecture of your network.
  • Select appropriate devices, sensors, and network infrastructure.
  • Design the communication protocols and data flow.
Explore security best practices in edge networks
Expand your knowledge of Module 3 by following industry resources and tutorials on best practices for securing edge computing networks.
Browse courses on Security Best Practices
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  • Identify industry standards and guidelines for edge security.
  • Explore case studies and best practices for implementing security measures.
Three other activities
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Design and Build an Edge Device Prototype
Reinforce your understanding of edge computing principles and practical implementation by designing and building your own edge device.
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  • Research and select hardware components
  • Develop the device's firmware and software
  • Assemble and test the device's functionality
Solve security challenges in edge networks
Test your cybersecurity skills by identifying and mitigating potential security vulnerabilities in edge networks as discussed in Module 3.
Show steps
  • Identify common security vulnerabilities in edge networks.
  • Analyze potential attack vectors and their impact.
  • Implement security measures to mitigate vulnerabilities.
Develop an edge computing solution
Apply the concepts and techniques from the course by developing a complete edge computing solution for a real-world problem.
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  • Define the problem and requirements for your solution.
  • Design the architecture and components of your solution.
  • Implement your solution using appropriate technologies.

Career center

Learners who complete Edge Computing Fundamentals will develop knowledge and skills that may be useful to these careers:
Security Engineer
Security Engineers are responsible for protecting computer networks and systems from unauthorized access, use, disclosure, disruption, modification, or destruction. They typically work with security equipment, including firewalls, intrusion detection systems, and access control systems. Security Engineers also develop and implement security policies and procedures. The Edge Computing Fundamentals course from LearnQuest can be helpful for aspiring Security Engineers as it provides an introduction to the key principles of cybersecurity, intrusion detection and prevention strategies specific to edge environments, essential security protocols, and strategies for securing data, ensuring privacy, and addressing data localization requirements in edge environments. This knowledge can help Security Engineers better understand the challenges and opportunities associated with edge computing.
IoT Architect
IoT Architects design, implement, and maintain IoT solutions. They typically work with IoT devices, sensors, and gateways. IoT Architects also develop and implement IoT architectures. The Edge Computing Fundamentals course from LearnQuest can be helpful for aspiring IoT Architects as it provides an introduction to the architecture of edge networks, edge computing technologies, devices and sensors, network infrastructure, and communication technologies. This knowledge can help IoT Architects better understand the challenges and opportunities associated with edge computing.
Systems Engineer
Systems Engineers are responsible for designing, implementing, and maintaining computer systems. They typically work with hardware, software, and network equipment. Systems Engineers also troubleshoot system problems and provide technical support to users. The Edge Computing Fundamentals course from LearnQuest can be helpful for aspiring Systems Engineers as it provides an introduction to the architecture of edge networks, edge computing technologies, devices and sensors, network infrastructure, and communication technologies. This knowledge can help Systems Engineers better understand the challenges and opportunities associated with edge computing.
Cybersecurity Analyst
Cybersecurity Analysts are responsible for protecting computer networks and systems from unauthorized access, use, disclosure, disruption, modification, or destruction. They typically work with security equipment, including firewalls, intrusion detection systems, and access control systems. Cybersecurity Analysts also develop and implement security policies and procedures. The Edge Computing Fundamentals course from LearnQuest can be helpful for aspiring Cybersecurity Analysts as it provides an introduction to the key principles of cybersecurity, intrusion detection and prevention strategies specific to edge environments, essential security protocols, and strategies for securing data, ensuring privacy, and addressing data localization requirements in edge environments. This knowledge can help Cybersecurity Analysts better understand the challenges and opportunities associated with edge computing.
IoT Developer
IoT Developers develop and implement IoT applications. They typically work with IoT devices, sensors, and gateways. IoT Developers also develop and implement IoT firmware. The Edge Computing Fundamentals course from LearnQuest can be helpful for aspiring IoT Developers as it provides an introduction to the architecture of edge networks, edge computing technologies, devices and sensors, network infrastructure, and communication technologies. This knowledge can help IoT Developers better understand the challenges and opportunities associated with edge computing.
IoT Consultant
IoT Consultants help businesses to develop and implement IoT solutions. They typically work with businesses to identify their IoT needs, develop IoT strategies, and implement IoT solutions. The Edge Computing Fundamentals course from LearnQuest can be helpful for aspiring IoT Consultants as it provides an introduction to the architecture of edge networks, edge computing technologies, devices and sensors, network infrastructure, and communication technologies. This knowledge can help IoT Consultants better understand the challenges and opportunities associated with edge computing.
IT Manager
IT Managers are responsible for planning, implementing, and managing computer networks and systems. They typically work with IT staff, including network engineers, security engineers, and data scientists. IT Managers also develop and implement IT policies and procedures. The Edge Computing Fundamentals course from LearnQuest can be helpful for aspiring IT Managers as it provides an introduction to the architecture of edge networks, edge computing technologies, devices and sensors, network infrastructure, and communication technologies. This knowledge can help IT Managers better understand the challenges and opportunities associated with edge computing.
Network Engineer
Network Engineers design, implement, and maintain computer networks. They typically work with network equipment, including routers, switches, and firewalls. Network Engineers also troubleshoot network problems and provide technical support to users. The Edge Computing Fundamentals course from LearnQuest can be helpful for aspiring Network Engineers as it provides an introduction to the architecture of edge networks, edge computing technologies, devices and sensors, network infrastructure, and communication technologies. This knowledge can help Network Engineers better understand the challenges and opportunities associated with edge computing.
Software Engineer
Software Engineers design, develop, and maintain software applications. They typically work with programming languages, software development tools, and software testing tools. Software Engineers also develop and implement software engineering processes. The Edge Computing Fundamentals course from LearnQuest may be helpful for aspiring Software Engineers as it provides an introduction to the architecture of edge networks, edge computing technologies, devices and sensors, network infrastructure, and communication technologies. This knowledge can help Software Engineers better understand the challenges and opportunities associated with edge computing.
DevOps Engineer
DevOps Engineers are responsible for building, deploying, and maintaining software systems. They typically work with developers, system administrators, and testers. DevOps Engineers also automate software development and deployment processes. The Edge Computing Fundamentals course from LearnQuest may be helpful for aspiring DevOps Engineers as it provides an introduction to the architecture of edge networks, edge computing technologies, devices and sensors, network infrastructure, and communication technologies. This knowledge can help DevOps Engineers better understand the challenges and opportunities associated with edge computing.
Product Manager
Product Managers are responsible for the development and launch of new products. They typically work with engineers, designers, and marketers. Product Managers also develop and implement product roadmaps. The Edge Computing Fundamentals course from LearnQuest may be helpful for aspiring Product Managers as it provides an introduction to the architecture of edge networks, edge computing technologies, devices and sensors, network infrastructure, and communication technologies. This knowledge can help Product Managers better understand the challenges and opportunities associated with edge computing.
Business Analyst
Business Analysts use data to solve business problems. They typically work with stakeholders, including business leaders, IT professionals, and end users. Business Analysts also develop and implement business analysis processes. The Edge Computing Fundamentals course from LearnQuest may be helpful for aspiring Business Analysts as it provides an introduction to the architecture of edge networks, edge computing technologies, devices and sensors, network infrastructure, and communication technologies. This knowledge can help Business Analysts better understand the challenges and opportunities associated with edge computing.
Cloud Architect
Cloud Architects design, implement, and manage cloud computing solutions. They typically work with cloud computing providers, including Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). Cloud Architects also develop and implement cloud computing policies and procedures. The Edge Computing Fundamentals course from LearnQuest may be helpful for aspiring Cloud Architects as it provides an introduction to the architecture of edge networks, edge computing technologies, devices and sensors, network infrastructure, and communication technologies. This knowledge can help Cloud Architects better understand the challenges and opportunities associated with edge computing.
Data Analyst
Data Analysts use data to solve problems and make predictions. They typically work with large datasets, using statistical and machine learning techniques to extract insights from the data. Data Analysts also develop and implement data models. The Edge Computing Fundamentals course from LearnQuest may be helpful for aspiring Data Analysts as it provides an introduction to the architecture of edge networks, edge computing technologies, devices and sensors, network infrastructure, and communication technologies. This knowledge can help Data Analysts better understand the challenges and opportunities associated with edge computing.
Data Scientist
Data Scientists use data to solve problems and make predictions. They typically work with large datasets, using statistical and machine learning techniques to extract insights from the data. Data Scientists also develop and implement data models. The Edge Computing Fundamentals course from LearnQuest may be helpful for aspiring Data Scientists as it provides an introduction to the architecture of edge networks, edge computing technologies, devices and sensors, network infrastructure, and communication technologies. This knowledge can help Data Scientists better understand the challenges and opportunities associated with edge computing.

Reading list

We've selected five books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Edge Computing Fundamentals.
Offers a practical approach to understanding cloud and edge computing principles, implementations, best practices, and security considerations, providing valuable insights for professionals working with these technologies.
Provides a rigorous treatment of cryptography and network security principles, offering valuable insights into the foundations of security mechanisms used in edge computing, such as data encryption and authentication.
Focuses on the use of edge computing in the Internet of Things (IoT). It covers topics such as sensor data processing, device management, and security. It valuable resource for anyone developing or deploying IoT solutions.
Provides a practical guide to designing and implementing edge computing solutions. It valuable resource for anyone who wants to learn more about the practical aspects of edge computing.

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