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Click on the Project for the details and description, submit the project documents for each project using the Project Submission Form

Foundation Level (Beginner-Friendly)

1. Serverless E-commerce Platform
Build a complete serverless e-commerce application using Azure Functions, Cosmos DB, Blob Storage, and API Gateway. This project demonstrates modern cloud-native architecture without server management overhead.

Key Components:

  • Frontend hosted on Azure Static Web Apps with React or Angular

  • User authentication using Azure Active Directory B2C

  • Product catalog stored in Azure Cosmos DB

  • Image storage using Azure Blob Storage with CDN

  • Order processing via Azure Functions triggered by HTTP requests

  • Payment integration using Azure Logic Apps

Skills Gained: Serverless architecture, NoSQL databases, API development, authentication systems

Expected Outcomes: Fully functional e-commerce platform, understanding of microservices architecture

2. AI-Powered Computer Vision Application
Develop an intelligent image analysis system using Azure Cognitive Services for object detection, text recognition, and sentiment analysis from images.

Key Features:

  • Upload images via Azure Blob Storage

  • Process images using Azure Computer Vision API for object detection

  • Extract text using Azure OCR services

  • Analyze sentiment from extracted text using Azure Text Analytics

  • Store results in Azure SQL Database

  • Create dashboard using Power BI for insights

Skills Gained: Computer vision, AI services integration, cloud storage, data analytics

Medium Level (Intermediate)

3. Multi-Tenant SaaS Application with Kubernetes
Build a scalable multi-tenant Software-as-a-Service platform using Azure Kubernetes Service (AKS) with automated deployment pipelines.

Key Components:

  • Containerized microservices architecture using Docker

  • Deploy to Azure Kubernetes Service (AKS) with auto-scaling

  • Implement tenant isolation using Kubernetes namespaces

  • Set up Azure DevOps CI/CD pipelines with Infrastructure as Code

  • Monitor performance using Azure Monitor and Application Insights

  • Implement security scanning and vulnerability assessment

Skills Gained: Kubernetes orchestration, microservices architecture, DevOps practices, security implementation

4. Real-Time IoT Data Pipeline
Create a comprehensive IoT data processing system that ingests, processes, and visualizes sensor data in real-time using Azure IoT services.

Key Features:

  • IoT device simulation using Azure IoT Device SDK

  • Data ingestion via Azure IoT Hub with message routing

  • Stream processing using Azure Stream Analytics

  • Hot path storage in Azure Cosmos DB for real-time queries

  • Cold path storage in Azure Data Lake for historical analysis

  • Real-time dashboards using Azure Time Series Insights

Skills Gained: IoT architecture, stream processing, real-time analytics, data lake management

Expert Level (Advanced)

5. Enterprise Data Lake with Advanced Analytics
Build a comprehensive enterprise data lake solution with machine learning capabilities and advanced analytics using Azure Synapse Analytics.

Key Components:

  • Data ingestion from multiple sources using Azure Data Factory

  • Raw data storage in Azure Data Lake Storage Gen2 with Delta format

  • Data processing using Azure Synapse Spark pools

  • Machine learning model training using Azure Machine Learning

  • Data visualization using Power BI with direct query

  • Implement data governance using Azure Purview

Skills Gained: Big data processing, machine learning operations, data governance, enterprise architecture

6. Multi-Cloud Disaster Recovery Solution
Implement a sophisticated disaster recovery system that spans multiple cloud providers using Azure Site Recovery and Terraform.

Key Features:

  • Infrastructure as Code using Terraform for multi-cloud deployment

  • Automated backup and replication using Azure Site Recovery

  • Cross-cloud networking with Azure Virtual WAN

  • Disaster recovery testing automation

  • Cost optimization strategies across providers

  • Security and compliance across multiple clouds

Skills Gained: Multi-cloud architecture, disaster recovery planning, infrastructure automation, cost management

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