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Designing an Intelligent Edge in Microsoft Azure
Jared Rhodes
Jared Rhodes
This course targets software developers looking to integrate AI solutions in edge scenarios ranging from an edge data center down to secure microcontrollers. This course will showcase how to design solutions using Microsoft Azure.
Read more
This course targets software developers looking to integrate AI solutions in edge scenarios ranging from an edge data center down to secure microcontrollers. This course will showcase how to design solutions using Microsoft Azure.
Read more
This course targets software developers looking to integrate AI solutions in edge scenarios ranging from an edge data center down to secure microcontrollers. This course will showcase how to design solutions using Microsoft Azure.
Cloud computing has moved more and more out of the cloud and onto the edge. In this course,
Designing an Intelligent Edge in Microsoft Azure, you will learn foundational knowledge of edge computing, its intersection with AI, and how to utilize both with Microsoft Azure. First, you will learn the concepts of edge computing. Next, you will discover how to create an edge solution utilizing Azure Stack, Azure Data Box Edge, and Azure IoT Edge. Finally, you will explore how to utilize off-the-shelf AI and build your own for Azure IoT Edge. When you are finished with this course, you will have the skills and knowledge of AI on the edge needed to architect your next edge solution. Software required: Microsoft Azure, .NET
Register for this course and see more details by visiting:
OpenCourser.com/course/77x12c/designing
What's inside
Syllabus
Course Overview
Designing Solutions That Incorporate AI Pipeline Components on Edge Devices
Identify Appropriate Tools for the Solution
Determine When to Use Built-in Components
Read more
Syllabus
Course Overview
Designing Solutions That Incorporate AI Pipeline Components on Edge Devices
Identify Appropriate Tools for the Solution
Determine When to Use Built-in Components
Read more
Determine When to Build Custom Components
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Teaches foundational knowledge of edge computing, its intersection with AI, and how to utilize both with Microsoft Azure
Develops skills in designing solutions using Microsoft Azure
Leverages the expertise of instructors Jared Rhodes in the field of edge AI solutions
Suitable for software developers looking to integrate AI solutions in edge scenarios, from edge data centers to secure microcontrollers
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Career center
Learners who complete Designing an Intelligent Edge in Microsoft Azure will develop knowledge and skills
that may be useful to these careers:
Project Manager
Project Manager
A Project Manager plans, executes, and closes projects. They have a strong understanding of project management concepts, technologies, and best practices. Designing an Intelligent Edge in Microsoft Azure may be useful for a Project Manager because it provides a foundation in AI and edge computing, which are both important technologies for Project Managers.
Data Scientist
Data Scientist
A Data Scientist uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from data in various forms, both structured and unstructured. Designing an Intelligent Edge in Microsoft Azure may be useful for a Data Scientist because it provides a foundation in AI and edge computing, which are both important technologies for Data Scientists.
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer designs, develops, and deploys machine learning models. They have a strong understanding of machine learning, deep learning, and other AI techniques. Designing an Intelligent Edge in Microsoft Azure may be useful for a Machine Learning Engineer because it provides a foundation in AI and edge computing, which are both important technologies for Machine Learning Engineers.
Business Analyst
Business Analyst
A Business Analyst analyzes and solves business problems. They have a strong understanding of business analysis concepts, technologies, and best practices. Designing an Intelligent Edge in Microsoft Azure may be useful for a Business Analyst because it provides a foundation in AI and edge computing, which are both important technologies for Business Analysts.
Data Architect
Data Architect
A Data Architect designs, develops, and manages data architectures. They have a strong understanding of data modeling, data integration, and data governance. Designing an Intelligent Edge in Microsoft Azure may be useful for a Data Architect because it provides a foundation in AI and edge computing, which are both important technologies for Data Architects.
Software Engineer
Software Engineer
A Software Engineer designs, develops, and maintains software systems. They have a strong understanding of computer science fundamentals, software design principles, and programming languages. Designing an Intelligent Edge in Microsoft Azure may be useful for a Software Engineer because it provides a foundation in AI and edge computing, which are both important technologies for Software Engineers.
Database Administrator
Database Administrator
A Database Administrator manages and maintains databases. They have a strong understanding of database concepts, technologies, and best practices. Designing an Intelligent Edge in Microsoft Azure may be useful for a Database Administrator because it provides a foundation in AI and edge computing, which are both important technologies for Database Administrators.
Product Manager
Product Manager
A Product Manager plans, develops, and markets products. They have a strong understanding of product management concepts, technologies, and best practices. Designing an Intelligent Edge in Microsoft Azure may be useful for a Product Manager because it provides a foundation in AI and edge computing, which are both important technologies for Product Managers.
Cloud Architect
Cloud Architect
A Cloud Architect designs, develops, and manages cloud computing solutions. They have a strong understanding of cloud computing concepts, technologies, and best practices. Designing an Intelligent Edge in Microsoft Azure may be useful for a Cloud Architect because it provides a foundation in AI and edge computing, which are both important technologies for Cloud Architects.
DevOps Engineer
DevOps Engineer
A DevOps Engineer automates and streamlines the software development and deployment process. They have a strong understanding of software development, IT operations, and automation tools. Designing an Intelligent Edge in Microsoft Azure may be useful for a DevOps Engineer because it provides a foundation in AI and edge computing, which are both important technologies for DevOps Engineers.
IT Manager
IT Manager
An IT Manager plans, directs, and coordinates the activities of an IT organization. They have a strong understanding of IT management concepts, technologies, and best practices. Designing an Intelligent Edge in Microsoft Azure may be useful for an IT Manager because it provides a foundation in AI and edge computing, which are both important technologies for IT Managers.
System Administrator
System Administrator
A System Administrator manages and maintains computer systems and networks. They have a strong understanding of system administration concepts, technologies, and best practices. Designing an Intelligent Edge in Microsoft Azure may be useful for a System Administrator because it provides a foundation in AI and edge computing, which are both important technologies for System Administrators.
Network Architect
Network Architect
A Network Architect designs, develops, and manages network architectures. They have a strong understanding of network concepts, technologies, and best practices. Designing an Intelligent Edge in Microsoft Azure may be useful for a Network Architect because it provides a foundation in AI and edge computing, which are both important technologies for Network Architects.
AI Engineer
AI Engineer
An AI Engineer designs, develops, and deploys artificial intelligence models. They have a strong understanding of machine learning, deep learning, and other AI techniques. Designing an Intelligent Edge in Microsoft Azure may be useful for an AI Engineer because it provides a foundation in AI and edge computing, which are both important technologies for AI Engineers.
Security Architect
Security Architect
A Security Architect designs, develops, and manages security architectures. They have a strong understanding of security concepts, technologies, and best practices. Designing an Intelligent Edge in Microsoft Azure may be useful for a Security Architect because it provides a foundation in AI and edge computing, which are both important technologies for Security Architects.
For more career information including salaries, visit:
OpenCourser.com/course/77x12c/designing
Reading list
We've selected seven 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
Designing an Intelligent Edge in Microsoft Azure.
Save
Introduces TinyML, a specialized field of machine learning for microcontrollers and embedded devices. It offers practical guidance on implementing AI models on resource-constrained edge devices.
While not specific to edge computing, this book provides a comprehensive overview of SRE practices, which are essential for ensuring the reliability and availability of edge solutions.
Explores architectural patterns and best practices for scaling web applications, which key consideration for deploying AI solutions on the edge at scale.
Delves into the principles and practices of microservices architecture, which common approach for building scalable and maintainable edge solutions.
Save
While not directly related to edge computing, this book provides a solid foundation in parallel programming techniques, which are essential for optimizing AI models and edge applications for performance.
Explores cloud native patterns and practices that are applicable to edge computing scenarios. It provides valuable insights into designing and implementing scalable, resilient, and efficient edge solutions.
Provides a solid foundation in data modeling and distributed systems design. It can serve as a valuable background resource for understanding the underlying principles of data management and processing on the edge.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/77x12c/designing
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Time
150 hours
Level
Intermediate
Via
Pluralsight
Instructor
Jared Rhodes
Language
English
Good to know
Teaches foundational knowledge of edge computing, its intersection with AI, and how to utilize both with Microsoft Azure
Develops skills in designing solutions using Microsoft Azure
Leverages the expertise of instructors Jared Rhodes in the field of edge AI solutions
Suitable for software developers looking to integrate AI solutions in edge scenarios, from edge data centers to secure microcontrollers
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