Enterprise and Infrastructure Security

 

Build your subject-matter expertise

This course is part of the Introduction to Cyber Security Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

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

Join Free: Enterprise and Infrastructure Security

There are 4 modules in this course

This course introduces a series of advanced and current topics in cyber security, many of which are especially relevant in modern enterprise and infrastructure settings. The basics of enterprise compliance frameworks are provided with introduction to NIST and PCI. Hybrid cloud architectures are shown to provide an opportunity to fix many of the security weaknesses in modern perimeter local area networks.

Emerging security issues in blockchain, blinding algorithms, Internet of Things (IoT), and critical infrastructure protection are also described for learners in the context of cyber risk. Mobile security and cloud security hyper-resilience approaches are also introduced. The course completes with some practical advice for learners on how to plan careers in cyber security.

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Data Privacy Fundamentals

 

What you'll learn

Identify foundational understanding of digital age privacy concepts and theories

Identify privacy implications of modern digital technology

Identify the rules and frameworks for data privacy in the age of technology

Join Free:Data Privacy Fundamentals

There are 3 modules in this course

This course is designed to introduce data privacy to a wide audience and help each participant see how data privacy has evolved as a compelling concern to public and private organizations as well as individuals. In this course, you will hear from legal and technical experts and practitioners who encounter data privacy issues daily. This course will review theories of data privacy as well as data privacy in the context of social media and artificial intelligence. It will also explore data privacy issues in journalism, surveillance, new technologies like facial recognition and biometrics. Completion of the course will enable the participant to be eligible for CPE credit.

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Industrial IoT Markets and Security

 

What you'll learn

What Industry 4.0 is and what factors have enabled the IIoT.

Key skills to develop to be employed in the IIoT space.

What platforms are, and also market information on Software and Services.

What the top application areas are (examples include manufacturing and oil & gas).

Join Free:Industrial IoT Markets and Security

There are 5 modules in this course

This course can also be taken for academic credit as ECEA 5385, part of CU Boulder’s Master of Science in Electrical Engineering degree.

Developing tomorrow's industrial infrastructure is a significant challenge. This course goes beyond the hype of consumer IoT to emphasize a much greater space for potential embedded system applications and growth: The Industrial Internet of Things (IIoT), also known as Industry 4.0. Cisco’s CEO stated: “IoT overall is a $19 Trillion market. IIoT is a significant subset including digital oilfield, advanced manufacturing, power grid automation, and smart cities”.

This is part 1 of the specialization. The primary objective of this specialization is to closely examine emerging markets, technology trends, applications and skills required by engineering students, or working engineers, exploring career opportunities in the IIoT space. The structure of the course is intentionally wide and shallow: We will cover many topics, but will not go extremely deep into any one topic area, thereby providing a broad overview of the immense landscape of IIoT. There is one exception: We will study security in some depth as this is the most important topic for all "Internet of Things" product development.

In this course students will learn :

  * What Industry 4.0 is and what factors have enabled the IIoT

  * Key skills to develop to be employed in the IIoT space

  * What platforms are, and also market information on Software and Services

  * What the top application areas are (examples include manufacturing and oil & gas)

  * What the top operating systems are that are used in IIoT deployments

  * About networking and wireless communication protocols used in IIoT deployments

  * About computer security; encryption techniques and secure methods for insuring data integrity and authentication

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