Course Overview
Cloud Data Engineering represents the backbone of modern data platforms, where enterprises rely on AWS and Azure to store, process, and analyze data at massive scale.
In this course, you will learn how to design data pipelines, data lakes, and warehouses using services such as AWS Glue, S3, Redshift, Azure Data Factory, Databricks, and Synapse Analytics.
Through practical labs and real-world projects, participants will build cross-cloud data engineering solutions using industry-standard ETL/ELT and orchestration tools.
By the end of this course, learners will be able to design production-ready, multi-cloud data platforms that support analytics and business intelligence at enterprise scale.
Course Distinction
What makes our course unique?
Unlock Multi-Cloud Data Expertise
Master the concepts behind building and managing data platforms across AWS and Azure, transforming the way businesses handle data.
Expert-Led Industry Training
Learn from cloud data engineering practitioners with real-world experience across multiple cloud platforms.
Hands-On Learning
Build real data pipelines and cloud data platforms through guided labs and capstone projects.
Practical Enterprise Use Cases
Learn how cloud data engineering can transform industries like finance, healthcare, retail, and manufacturing.
Course Content
- Introduction to cloud data platforms
- AWS vs Azure data services overview
- Data lakes, warehouses, and lakehouses
- Core data engineering concepts
- AWS S3 and data lake architecture
- AWS Glue for ETL
- Amazon Redshift for data warehousing
- AWS Lambda and Step Functions for orchestration
- Azure Data Lake Storage
- Azure Data Factory for orchestration
- Azure Databricks and Synapse Analytics
- Azure data governance basics
- Batch and streaming data pipelines
- Data transformation strategies
- Pipeline orchestration and scheduling
- Error handling and monitoring
- Dimensional modeling for analytics
- Partitioning and file formats (Parquet, Delta)
- Data warehouse vs data lake design
- Cost-efficient storage strategies
- Identity and access management
- Data encryption and compliance
- Data cataloging and governance
- Monitoring and auditing pipelines
- Designing cross-cloud architectures
- CI/CD for data pipelines
- Performance and cost optimization
- Enterprise deployment best practices
Capstone Project
Design and build a multi-cloud data engineering solution across AWS and Azure that solves a real-world enterprise data challenge.
Key Features
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Instructor-led interactive sessions -
Real-world case studies
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Hands-on multi-cloud labs
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Industry recognized certification
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Access to AWS & Azure learning resources
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Capstone project
Skills Covered
- AWS Data Engineering (Glue, S3, Redshift)
- Azure Data Engineering (ADF, Databricks, Synapse)
- ETL/ELT Pipeline Development
- Data Lake & Warehouse Design
- Multi-Cloud Architecture
- Data Governance & Security
- Pipeline Orchestration
- Cloud Cost Optimization
Advancements
Business Impact
Boost Productivity
Cloud data platforms automate data movement and transformation, improving analytics speed and decision-making.
Reduce Operational Costs
Organizations reduce infrastructure overhead by leveraging managed, scalable cloud data services.
Enable Enterprise Analytics
Multi-cloud data engineering enables businesses to build flexible, resilient data platforms that scale with growth.
What Our Learners Say
Reviews from professionals and teams we have trained
Looking forward to work with them in long term.
I have trained technologies like cloud,python and shell with him. And all were great success.
FAQ?
Customized Corporate Training
We also provide corporate training programs tailored for organizations looking to build multi-cloud data engineering capabilities.
✔ Custom curriculum
✔ Industry-specific use cases
✔ Flexible training delivery
✔ Enterprise consulting support
Who Should Attend
Data Engineers
Cloud Engineers
Data Architects
ETL Developers
IT Professionals
Solutions Architects
Build the Future with Cloud Data Engineering
Become a specialist in Multi-Cloud Data Platforms across AWS and Azure.
✔ Learn from industry experts
✔ Work on real cloud data projects
✔ Earn certification
