Edge Computing is transforming the world of distributed IT infrastructure and, as such, delivers high-performance data processing closer to the source in a scalable and secure manner. Our comprehensive Edge Computing course covers all aspects from basic edge architecture to advanced topics such as edge-to-cloud integration, real-time data processing and IoT device management. Taught by industry experts, this course is ideal for IT professionals, network engineers and data specialists who want to unlock the full capabilities of edge computing.
The online training by kodestree will definitely embed real-world experience in the participant’s mind with interactive sessions, hands-on labs, and project-based learning. By the end of this Edge Computing training, learners will be well-equipped and proficient in deploying edge solutions, optimizing latency and bandwidth, and effectively managing distributed computing environments for most applications involving real-time data.
Prerequisites for the Edge Computing Training Program
- Familiarity with computer networking concepts
- Basic knowledge of Linux
- Experience with cloud platforms is a plus, but not a must: cloud providers like AWS, Azure or Google Cloud.
Who Should Attend the Edge Computing Course Online
- Cloud Engineers
- Network Engineers
- DevOps Engineers
- IoT Developers
- Software Developers
- Solutions Architects
What You Will Learn
- Understand Edge Computing architecture and core concepts
- Deploy and manage edge applications
- Connect and manage IoT devices at the edge
- Process real-time data at edge locations
- Build and deploy AI inference at the edge
- Integrate edge infrastructure with cloud platforms
- Deploy containers using Docker and Kubernetes (K3s)
- Work with AWS IoT Greengrass, Azure IoT Edge, and Google Distributed Cloud Edge
- Implement edge security and device authentication
- Optimize edge application performance and scalability
Why select Edge Computing Online Course by kodestree?
- Expert Trainers: Our trainers are professionals in the industry and have extensive knowledge regarding edge computing and distributed systems. The comprehensive curriculum addresses every detail of edge computing from basic to high-end attributes.
- Hands-on learning: Learn through working on real-world edge deployment scenarios and case studies.
- Flexible Learning Options: Training sessions are accessible from any location through our online platform.
- Certification of Completion: Receive a certificate to showcase your Edge Computing skills and boost your resume.
