Edge Computing Course
This course equips you with skills to master edge computing, covering architecture from sensors and gateways to cloud integration. Design secure, resilient, low-latency systems, select optimal technology stacks, and execute vital analytics at the edge for real-world industrial applications. Learn to handle demanding environments with robust planning and operations.

flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
Gain expertise in transitioning from cloud-dependent systems to efficient edge computing setups. Master data pipelines from sensors to cloud, gateway configurations, on-site data processing, machine learning deployment, technology stack choices, and strategies for high availability. Explore security measures, monitoring techniques, defining requirements, and analysing failures to build dependable and scalable edge solutions for challenging industrial settings.
Elevify advantages
Develop skills
- Design strong edge architectures including sensors, gateways, data flows, and cloud connections.
- Choose suitable edge technology stacks with runtimes, ML tools, and brokers for industrial sites.
- Build reliable local processing with buffering, failover mechanisms, and post-outage synchronisation.
- Establish precise edge requirements covering SLAs, constraints, and verifiable acceptance criteria.
- Deploy secure and observable edge operations featuring zero-trust models, OTA updates, and monitoring.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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