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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.
Cloud computing has moved more and more out of the cloud and onto the edge. In this course,
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,
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
Save this course
Save Designing an Intelligent Edge in Microsoft Azure to your list so you can find it easily later:
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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 Designing an Intelligent Edge in Microsoft Azure with these
activities:
Organize and Review Course Materials
Show steps
Helps you stay organized and reinforces your understanding of the course concepts.
Show steps
-
Create a dedicated folder for the course materials.
-
Organize the materials into logical categories.
-
Review the materials periodically to reinforce your learning.
Follow the Microsoft Learn Path on Azure AI Fundamentals
Show steps
Provides a structured and guided approach to learning the basics of Azure AI services, complementing the concepts covered in the course.
Show steps
-
Create a Microsoft Learn account.
-
Enroll in the Azure AI Fundamentals learning path.
-
Complete the modules and hands-on exercises.
Review 'Designing Data-Intensive Applications' by Martin Kleppmann
Show steps
Provides insights into designing data-intensive applications, which is essential for building scalable and reliable solutions on Azure.
View
Secret Colors
on Amazon
Show steps
-
Read the first three chapters to gain a foundational understanding of data modeling and distributed systems.
-
Focus on chapters 4-6 to learn about data storage and query optimization techniques.
-
Review the case studies in chapters 7-9 to see how these concepts are applied in real-world scenarios.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Solve Data-Related Coding Challenges on LeetCode
Show steps
Strengthens your problem-solving skills and ability to work with data structures, which is essential for developing AI solutions.
Browse courses on
Data Structures
Show steps
-
Choose LeetCode problems related to data structures and algorithms.
-
Solve the problems using your preferred programming language.
-
Review your solutions and identify areas for improvement.
Build a Simple IoT Solution Using Azure IoT Hub
Show steps
Hands-on experience in building an IoT solution will solidify your understanding of the concepts covered in the course.
Browse courses on
Azure IoT Hub
Show steps
-
Create an Azure IoT Hub instance.
-
Connect a device simulator to the IoT Hub.
-
Send telemetry data from the device simulator to the IoT Hub.
-
Monitor the telemetry data using the Azure IoT Explorer.
Attend an Online Study Group with Fellow Students
Show steps
Engages you in collaborative learning, allowing you to share insights and learn from others.
Show steps
-
Find a study group or create your own.
-
Set regular meeting times.
-
Discuss course topics, share knowledge, and work on assignments together.
Design an Azure IoT Edge Solution Architecture
Show steps
Tests your ability to apply the principles of edge computing and AI to design a practical solution.
Browse courses on
IoT
Show steps
-
Identify the use case and requirements for your IoT solution.
-
Select the appropriate Azure IoT Edge services and devices.
-
Design the data flow and processing pipeline.
-
Create a deployment plan for your solution.
Present a 10-minute Overview of Edge Computing and AI
Show steps
Helps you synthesize and communicate your knowledge of edge computing and AI, reinforcing your understanding of the key concepts.
Browse courses on
Edge Computing
Show steps
-
Gather information from the course materials and additional research sources.
-
Organize the information into a logical flow.
-
Create visual aids, such as slides or diagrams, to enhance your presentation.
-
Practice your delivery to ensure clarity and effectiveness.
Organize and Review Course Materials
Show steps
Helps you stay organized and reinforces your understanding of the course concepts.
Show steps
Show steps
Show steps
- Create a dedicated folder for the course materials.
- Organize the materials into logical categories.
- Review the materials periodically to reinforce your learning.
Follow the Microsoft Learn Path on Azure AI Fundamentals
Show steps
Provides a structured and guided approach to learning the basics of Azure AI services, complementing the concepts covered in the course.
Show steps
Show steps
Show steps
- Create a Microsoft Learn account.
- Enroll in the Azure AI Fundamentals learning path.
- Complete the modules and hands-on exercises.
Review 'Designing Data-Intensive Applications' by Martin Kleppmann
Show steps
Provides insights into designing data-intensive applications, which is essential for building scalable and reliable solutions on Azure.
View
Secret Colors
on Amazon
Show steps
Show steps
Show steps
- Read the first three chapters to gain a foundational understanding of data modeling and distributed systems.
- Focus on chapters 4-6 to learn about data storage and query optimization techniques.
- Review the case studies in chapters 7-9 to see how these concepts are applied in real-world scenarios.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Solve Data-Related Coding Challenges on LeetCode
Show steps
Strengthens your problem-solving skills and ability to work with data structures, which is essential for developing AI solutions.
Browse courses on
Data Structures
Show steps
Show steps
Show steps
- Choose LeetCode problems related to data structures and algorithms.
- Solve the problems using your preferred programming language.
- Review your solutions and identify areas for improvement.
Build a Simple IoT Solution Using Azure IoT Hub
Show steps
Hands-on experience in building an IoT solution will solidify your understanding of the concepts covered in the course.
Browse courses on
Azure IoT Hub
Show steps
Show steps
Show steps
- Create an Azure IoT Hub instance.
- Connect a device simulator to the IoT Hub.
- Send telemetry data from the device simulator to the IoT Hub.
- Monitor the telemetry data using the Azure IoT Explorer.
Attend an Online Study Group with Fellow Students
Show steps
Engages you in collaborative learning, allowing you to share insights and learn from others.
Show steps
Show steps
Show steps
- Find a study group or create your own.
- Set regular meeting times.
- Discuss course topics, share knowledge, and work on assignments together.
Design an Azure IoT Edge Solution Architecture
Show steps
Tests your ability to apply the principles of edge computing and AI to design a practical solution.
Browse courses on
IoT
Show steps
Show steps
Show steps
- Identify the use case and requirements for your IoT solution.
- Select the appropriate Azure IoT Edge services and devices.
- Design the data flow and processing pipeline.
- Create a deployment plan for your solution.
Present a 10-minute Overview of Edge Computing and AI
Show steps
Helps you synthesize and communicate your knowledge of edge computing and AI, reinforcing your understanding of the key concepts.
Browse courses on
Edge Computing
Show steps
Show steps
Show steps
- Gather information from the course materials and additional research sources.
- Organize the information into a logical flow.
- Create visual aids, such as slides or diagrams, to enhance your presentation.
- Practice your delivery to ensure clarity and effectiveness.
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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