Full Stack Web Developer Diploma:Edge Computing and Serverless Web Architecture

About Course

Welcome to “Edge Computing and Serverless Web Architecture”!In today’s fast-paced digital world, speed, scalability, and efficiency are non-negotiable — and that’s where edge computing and serverless architectures shine. This course introduces you to the cutting-edge world of decentralized computing, where data is processed closer to users and infrastructure scales automatically. You’ll master key principles of edge deployment, event-driven serverless functions, and real-time performance optimization using tools like AWS Lambda, Cloudflare Workers, and Vercel. Whether you’re building responsive web apps or IoT-driven solutions, this course equips you with the skills to develop lightweight, high-performance, and globally scalable applications for the next generation of the web.

Explain the principles, benefits, and limitations of Edge Computing and Serverless Architecture.
Design and deploy scalable web solutions using AWS Lambda, Cloudflare Workers, Vercel, and Azure Functions.
Compare traditional cloud computing with Edge and Serverless models in terms of performance, cost, and latency.
Implement secure event-driven workflows and API endpoints using Serverless technologies.
Apply Event-Driven Design Patterns for scalable web applications.
Deploy APIs using Serverless Backends.
Apply security and access-control practices in distributed computing environments.
Use Edge Nodes for content delivery and caching.
Optimize Serverless applications by addressing cold starts and performance issues.
Apply monitoring, logging, and observability techniques to distributed applications.
Evaluate practical use cases for Edge Computing and Serverless Architecture in web applications and IoT systems

Course Content

Week 1 – Introduction to Edge Computing

Introduction to Edge Computing
LO1: Explain the fundamental concepts, characteristics, and purpose of Edge Computing
LO2: Describe how Edge Computing processes data closer to users and distributed data sources
LO3: Analyze the benefits and limitations of Edge Computing for Web Applications and IoT Systems

Week 2 – Serverless Architecture and FaaS

Week 3 – Edge vs. Cloud: Performance and Latency Considerations

Week 4 – Serverless and Edge Computing Platforms

Assesment-I

Week 5 – Event-Driven Design Patterns

Week 6 – Deploying APIs Using Serverless Backends

Week 7 – Security and Access Control in Distributed Environments

Week 8 – Content Delivery and Caching with Edge Nodes

Assesment-II

Week 9 – Cold Starts and Performance Optimization

Week 10 – Monitoring, Logging, and Observability

Final Assesment

About Course

What Will You Learn?

Course Content

Week 1 – Introduction to Edge Computing

Introduction to Edge Computing

LO1: Explain the fundamental concepts, characteristics, and purpose of Edge Computing

LO2: Describe how Edge Computing processes data closer to users and distributed data sources

LO3: Analyze the benefits and limitations of Edge Computing for Web Applications and IoT Systems

Week 2 – Serverless Architecture and FaaS

Serverless Architecture and FaaS

LO1: Explain the principles and components of Serverless Architecture and Function as a Service (FaaS)

LO2: Describe how serverless functions execute in response to application events and requests

LO3: Differentiate Serverless Architecture from traditional server-based computing models

Week 3 – Edge vs. Cloud: Performance and Latency Considerations

Edge vs. Cloud: Performance and Latency Considerations

LO1: Explain the architectural differences between Edge Computing and traditional Cloud Computing

LO2: Analyze Edge and Cloud Computing models based on Performance, Latency, Scalability, and Cost

LO3: Evaluate application requirements to determine appropriate Edge or Cloud Computing approaches

Week 4 – Serverless and Edge Computing Platforms

Serverless and Edge Computing Platforms

LO1: Identify the features and capabilities of AWS Lambda, Cloudflare Workers, Vercel, and Azure Functions

LO2: Explain how major Serverless and Edge Computing platforms support application deployment and execution

LO3: Analyze platform requirements to select appropriate Serverless and Edge Computing services for Web Applications

Assesment-I

Multiple Choice Questions

Week 5 – Event-Driven Design Patterns

Event-Driven Design Patterns

LO1: Explain the principles and components of Event-Driven Architecture in Serverless Applications

LO2: Apply Event-Driven Design Patterns to manage function triggers, events, and application workflows

LO3: Analyze Event-Driven workflows to support scalable and responsive Serverless Applications

Week 6 – Deploying APIs Using Serverless Backends

Deploying APIs Using Serverless Backends

LO1: Explain the architecture and components involved in deploying APIs using Serverless Backends

LO2: Apply Serverless functions and API endpoints to process requests and responses in Web Applications

LO3: Develop Serverless API solutions that support scalable and Event-Driven application workflows

Week 7 – Security and Access Control in Distributed Environments

Security and Access Control in Distributed Environments

LO1: Explain Security and Access Control requirements in Edge and Serverless environments

LO2: Apply Authentication and Authorization techniques to protect distributed applications and Serverless APIs

LO3: Analyze security risks and access requirements to protect data and services in Distributed Environments

Week 8 – Content Delivery and Caching with Edge Nodes

Content Delivery and Caching with Edge Nodes

LO1: Explain the role of Edge Nodes, Content Delivery, and Caching in Distributed Web Architectures

LO2: Apply Edge Caching strategies to improve content delivery and reduce application latency

LO3: Analyze Content Delivery requirements to determine appropriate Edge Caching approaches for distributed applications

Assesment-II

Multiple choice questions

Scenario Based Multiple Choice Questions

Week 9 – Cold Starts and Performance Optimization

Cold Starts and Performance Optimization

LO1: Explain the causes and effects of Cold Starts in Serverless Applications

LO2: Apply Performance Optimization techniques to reduce latency and improve Serverless function execution

LO3: Analyze Serverless application performance to identify opportunities for improving response time and resource efficiency

Week 10 – Monitoring, Logging, and Observability

Monitoring, Logging, and Observability

LO1: Explain the purpose of Monitoring, Logging, and Observability in Edge and Serverless environments

LO2: Apply Monitoring and Logging practices to track application behavior, performance, and operational events

LO3: Evaluate Monitoring and Observability data to identify performance, reliability, and operational issues in distributed applications

Final Assesment

Multiple choice questions

Scenario Based Multiple Choice Questions

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