The Edge Computing Fundamentals Certified Course is designed to provide a comprehensive understanding of edge computing concepts, architectures, and practical applications. This course covers the essentials of decentralized computing, data processing at the network edge, and integration with cloud environments. Learners will explore key technologies, including IoT devices, edge servers, and real-time analytics, enabling faster and more efficient decision-making closer to data sources. Through hands-on exercises, case studies, and industry-relevant projects, participants will gain practical skills in deploying edge solutions, optimizing performance, and addressing challenges related to latency, bandwidth, and security. This course is ideal for IT professionals, developers, and engineers looking to enhance their expertise in next-generation computing paradigms.
Module 1: Introduction to Edge Computing Overview of Edge Computing Difference between Cloud and Edge Computing Benefits, challenges, and use cases.
Module 2: Edge Computing Architecture Components of edge architecture Edge nodes, gateways, and devices Communication protocols and network topologies.
Module 3: IoT and Edge Integration Introduction to IoT devices Connecting and managing IoT devices at the edge Sensor data collection and processing.
Module 4: Edge Data Processing & Analytics Real-time data processing concepts Lightweight analytics frameworks for edge computing Data filtering, aggregation, and decision-making.
Module 5: Cloud & Edge Integration Connecting edge nodes with cloud platforms Data synchronization and hybrid architectures Case studies on cloud-edge solutions.
Module 6: Containerization & Orchestration Introduction to Docker and Kubernetes Deploying containerized applications at the edge Managing edge workloads efficiently.
Module 7: Security & Privacy in Edge Computing Edge device security essentials Encryption, authentication, and access control Secure communication between edge and cloud.
Module 8: Edge Computing Tools & Platforms Azure IoT Edge, AWS IoT Greengrass, Google Cloud IoT Edge Monitoring and management tools Hands-on lab exercises.
Module 9: Industry Use Cases & Applications Smart cities, healthcare, manufacturing, automotive Case studies and problem-solving exercises.
Module 10: Final Project & Certification Real-world edge computing project Hands-on deployment, monitoring, and analytics Certification upon successful completion.
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Email: coursedivine@gmail.com
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