Edge computing is transforming how modern enterprises deliver data-driven services, bridging the gap between centralized cloud infrastructures and decentralized edge environments. This course provides a deep understanding of the architectural patterns and design principles needed to create resilient, scalable, and high-performance distributed systems.
Edge Computing Patterns for Solution Architects
Gain insight into a topic and learn the fundamentals.
Advanced level
Recommended experience
1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Distinguish edge concepts and their varying definitions across audiences
Explore industry-specific architecture patterns for tailored solutions
Analyze proven edge computing archetypes for real-world scalability
Skills you'll gain
- Artificial Intelligence and Machine Learning (AI/ML)
- Distributed Computing
- Containerization
- Solution Architecture
- Software Architecture
- Zero Trust Network Access
- Network Security
- Network Performance Management
- Automation
- Design
- Application Design
- Cloud Computing Architecture
- Software-Defined Networking
- System Monitoring
- Network Architecture
- Data Security
- Internet Of Things
Details to know
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Recently updated!
December 2025
Assessments
11 assignments
Taught in English
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There are 11 modules in this course
In this section, we define edge computing terminology, categorize edge scenarios, and explore deployment tactics to enhance collaboration and architectural decision-making.
What's included
2 videos5 readings1 assignment
In this section, we examine edge components, their roles, and non-functional requirements (NFRs) to design efficient, low-latency edge-native applications for distributed systems.
What's included
1 video7 readings1 assignment
In this section, we explore edge device hub patterns, container use in constrained devices, and disconnected operations to optimize IoT solutions for efficiency and cost-effectiveness.
What's included
1 video6 readings1 assignment
In this section, we examine network edge architecture, focusing on NFV, SDN, MEC, and their role in enhancing 5G and edge computing services through virtualization and cloud-native solutions.
What's included
1 video5 readings1 assignment
In this section, we examine end-to-end edge architectures, IT and OT convergence, and industry-specific scenarios.
What's included
1 video5 readings1 assignment
In this section, we examine data encryption, storage policies, and data states for secure edge computing.
What's included
1 video6 readings1 assignment
In this section, we explore automation for edge device deployment, scalable workflows for IT and OT, and AI-driven security to enhance operational efficiency and consistency.
What's included
1 video5 readings1 assignment
In this section, we explore edge monitoring strategies, network performance metrics, and observability frameworks to ensure reliable distributed system operations.
What's included
1 video3 readings1 assignment
In this section, we explore application-directed networking, Zero Trust principles, and secure edge configurations to enhance developer agility and operational efficiency.
What's included
1 video4 readings1 assignment
In this section, we explore strategies to manage open source risks and contribute without losing intellectual property.
What's included
1 video6 readings1 assignment
In this section, we explore edge-native best practices, design antifragile applications, and develop strategies for graceful recovery from edge failures.
What's included
1 video5 readings1 assignment
Instructor
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Frequently asked questions
Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.
If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.
Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.
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