AWS Data Engineering Program Course
- Duration: 40 hours
- Exam Voucher: Yes
- Language: English
- Course Delivery : E - Learning Access
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Course Overview
The AWS Data Engineering Program Course is designed to help organizations build strong data engineering capabilities using AWS services. This program introduces enterprise teams to designing, building, and managing scalable data pipelines and analytics solutions on AWS. With a structured, governance-aligned approach, the course focuses on handling large-scale data ingestion, processing, storage, and analysis while ensuring reliability and performance. It enables organizations to standardize data engineering practices and support data-driven decision-making across teams.
Course Details
- Establishes standardized data engineering practices using AWS services
- Improves scalability, reliability, and performance of data pipelines
- Aligns organizational data initiatives with globally recognized AWS frameworks
- Ensures consistent learning delivery across distributed enterprise teams
- Enhances productivity through hands-on data engineering scenarios
- Supports structured readiness for enterprise enablement and validation
- Open to corporate professionals and data engineering teams
- Suitable for foundational to intermediate participants
- Recommended for teams working with data platforms, analytics, and cloud services
- Basic understanding of databases, data processing, and cloud concepts preferred
- Corporate sponsorship or group participation encouraged
- Access to a digital learning platform required
- No mandatory prior qualification beyond foundational knowledge
- Design and implement scalable data pipelines on AWS
- Ingest, process, and transform data using AWS-native services
- Manage data storage solutions for structured and unstructured data
- Apply best practices for data security, governance, and reliability
- Gain hands-on experience through structured practical modules
- Improve collaboration between data, analytics, and platform teams
- Align data engineering solutions with organizational business objectives
- Introduction to data engineering on AWS
- Data ingestion and integration strategies
- Building and managing data pipelines
- Data storage and data lake architectures
- Batch and streaming data processing
- Data transformation and analytics workflows
- Security, governance, and compliance for data platforms
- Practical labs and real-world data engineering scenarios
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