Introduction
This training equips learners with end-to-end skills to build, deploy, and operate full stack applications integrated with big data platforms on the cloud. It focuses on modern architectures, scalable data pipelines, cloud-native services, and DevOps-driven CI/CD automation to deliver reliable, high-performance systems.

Prerequisites
Basic programming knowledge (Java/Python/JavaScript)
Understanding of web application fundamentals
Basic knowledge of databases and SQL
Familiarity with Linux and networking concepts is recommended

Table of Contents

1. Full Stack Engineering Foundations
   1.1 Frontend architectures and frameworks
   1.2 Backend services and RESTful APIs
   1.3 Authentication, authorization, and API security

2. Big Data Engineering Fundamentals
   2.1 Big data concepts and ecosystem overview
   2.2 Data ingestion with Kafka and messaging systems
   2.3 Batch processing with Hadoop and Spark
   2.4 Real-time stream processing fundamentals

3. Cloud Platforms for Big Data Applications
   3.1 Cloud computing models and services
   3.2 Deploying full stack applications on cloud
   3.3 Managed big data services on AWS, Azure, and GCP
   3.4 Cloud storage and data lake architectures

4. Microservices and Cloud-Native Design
   4.1 Microservices architecture patterns
   4.2 Containerization with Docker
   4.3 Kubernetes for orchestration and scaling
   4.4 Service discovery and configuration management

5. DevOps Fundamentals
   5.1 DevOps culture and principles
   5.2 Infrastructure as Code basics
   5.3 Version control and branching strategies
   5.4 Environment management and configuration

6. CI/CD for Full Stack Big Data Applications
   6.1 CI/CD pipeline concepts and tools
   6.2 Automating build and test pipelines
   6.3 Deploying applications using CI/CD workflows
   6.4 Data pipeline automation and validation

7. Monitoring, Security, and Optimization
   7.1 Application and data pipeline monitoring
   7.2 Logging and observability on cloud
   7.3 Security best practices for cloud and data platforms
   7.4 Performance tuning and cost optimization

8. Capstone Project
   8.1 Designing an end-to-end full stack big data solution
   8.2 Implementing CI/CD and DevOps automation
   8.3 Cloud deployment and production readiness

This program prepares learners to design, build, and operate scalable full stack big data applications on the cloud using DevOps and CI/CD practices. Participants gain practical skills aligned with real-world enterprise and cloud-native data engineering demands.