Cloud Computing & Big Data Diploma
Master cloud platforms (AWS, Azure, GCP) and big data technologies (Hadoop, Spark, Kafka). Build scalable data pipelines and become a cloud architect in 3 months.
Explore Course3
Months Duration
96%
Placement Success
35+
Cloud & Big Data Projects
450+
Hiring Partners
Course Overview
Multi-Cloud Platform Mastery
Master AWS, Microsoft Azure, and Google Cloud Platform with hands-on experience in compute, storage, networking, and security services.
Big Data Ecosystem
Learn Hadoop, Apache Spark, Kafka, Hive, and HBase for processing and analyzing massive datasets across distributed systems.
Data Engineering & Pipelines
Build robust ETL/ELT pipelines using Apache Airflow, streaming data processing, and real-time analytics architectures.
DevOps & Container Orchestration
Deploy and manage applications using Docker, Kubernetes, Terraform, and implement CI/CD pipelines with Jenkins and GitLab.
Program Modules
Module 1: Cloud Foundations
- Cloud computing concepts and models
- AWS EC2, S3, VPC, and IAM
- Azure Virtual Machines and Storage
- Google Cloud Compute and Networking
- Cloud security and compliance
Sample Project: Multi-Cloud Web Application
Deploy a scalable web application across AWS, Azure, and GCP with load balancing and auto-scaling.
Module 2: Big Data Foundations
- Hadoop ecosystem and HDFS
- MapReduce programming model
- Apache Spark architecture
- NoSQL databases (MongoDB, Cassandra)
- Data warehousing concepts
Sample Project: E-commerce Data Analysis
Process and analyze large e-commerce datasets using Hadoop and Spark to identify customer behavior patterns.
Module 3: Data Engineering
- ETL/ELT pipeline design
- Apache Airflow workflow orchestration
- Data lake and data warehouse architecture
- Apache Kafka for real-time streaming
- Data quality and governance
Sample Project: Real-time Analytics Pipeline
Build an end-to-end streaming data pipeline using Kafka, Spark Streaming, and cloud data warehouses.
Module 4: Advanced Cloud Services
- AWS Lambda and serverless computing
- Azure Functions and Logic Apps
- Google Cloud Functions and Pub/Sub
- API Gateway and microservices
- Cloud databases and data services
Sample Project: Serverless Data Processing
Create a serverless data processing system using cloud functions and managed services across multiple platforms.
Module 5: Container & Orchestration
- Docker containerization
- Kubernetes cluster management
- Helm charts and package management
- Service mesh with Istio
- Monitoring and logging solutions
Sample Project: Microservices Architecture
Deploy a complete microservices application on Kubernetes with monitoring, logging, and auto-scaling capabilities.
Module 6: DevOps & Automation
- Infrastructure as Code (Terraform)
- CI/CD pipelines with Jenkins
- GitLab CI and GitHub Actions
- Configuration management (Ansible)
- Capstone project and deployment
Capstone Project: Enterprise Cloud Migration
Design and implement a complete cloud migration strategy for an enterprise application with big data processing.
Learning Methods
Multi-Cloud Labs
Practice hands-on with real cloud environments across AWS, Azure, and Google Cloud Platform with provided credits.
Industry Simulations
Work on realistic enterprise scenarios including cloud migrations, disaster recovery, and cost optimization.
Big Data Challenges
Process terabytes of real data using Hadoop and Spark clusters to solve complex business problems.
DevOps Implementation
Build complete CI/CD pipelines and automate infrastructure deployment using industry-standard tools.
Cloud Architect Sessions
Learn from senior cloud architects and engineers from Amazon, Microsoft, Google, and enterprise companies.
Certification Preparation
Prepare for AWS, Azure, and GCP certifications with dedicated exam preparation and practice tests.
Career Opportunities
Cloud Architect
Design and implement scalable cloud solutions and architectures for enterprise applications and data systems.
Data Engineer
Build and maintain data pipelines, ETL processes, and big data infrastructure for analytics and reporting.
DevOps Engineer
Automate deployment pipelines, manage cloud infrastructure, and implement CI/CD practices for development teams.
Big Data Analyst
Process and analyze large datasets using Hadoop, Spark, and cloud-based analytics tools to derive business insights.
Cloud Security Engineer
Implement security best practices, compliance, and governance across cloud environments and data systems.
Site Reliability Engineer
Ensure high availability and performance of cloud applications through monitoring, automation, and incident response.
Why Choose Abeyaantrix?
Multi-Cloud Expertise
Master AWS, Azure, and GCP with hands-on experience and free cloud credits for practical learning.
Industry Veterans
Learn from cloud architects and data engineers with experience at Amazon, Microsoft, Google, and Fortune 500 companies.
Real Enterprise Projects
Work on actual cloud migration, big data processing, and infrastructure automation projects from various industries.
Flexible Learning Paths
Choose from weekend, evening, or intensive bootcamp formats designed for working professionals and students.
Certification Success
Comprehensive preparation for AWS, Azure, and GCP certifications with high pass rates and exam support.
Career Transformation
Get personalized guidance for transitioning into high-demand cloud computing and big data engineering roles.
Our Hiring Partners
We collaborate with leading technology companies and cloud service providers to offer excellent career opportunities.
Enterprise Cloud Migration
Big Data Processing Platform
Cloud Infrastructure Services
Real-time Data Processing
Cloud Security Solutions
DevOps & Automation Services
Program Benefits
Guaranteed Job Placement
Get direct referrals to top cloud companies, personalized resume optimization, and interview coaching until you secure your ideal role.
Free Cloud Credits
Receive substantial credits for AWS, Azure, and GCP to practice and build real applications without any cost concerns.
Comprehensive Portfolio
Build 35+ cloud and big data projects covering infrastructure, data pipelines, and enterprise-scale deployments.
Industry-Standard Tools
Master the exact technologies and methodologies used by cloud teams at leading technology companies worldwide.
Expert Mentorship
Get personalized guidance from senior cloud architects and data engineers throughout your learning journey.
Global Certification
Earn an internationally recognized diploma in Cloud Computing & Big Data from Abeyaantrix Academy.
Ready to Master Cloud & Big Data?
Join the cloud revolution and build the scalable infrastructure that powers modern digital transformation.
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