Building Modern Data Analytics Solutions on AWS

The Building Modern Data Analytics Solutions on AWS course collection is a set of intermediate, one-day, instructor-led courses focused on designing, building, and operating modern data analytics pipelines on AWS. The collection explores key AWS analytics services—including data lakes, batch and streaming analytics, and cloud data warehouses—to help organizations transform raw data into actionable insights. Learners gain a practical understanding of modern data architectures and best practices for data ingestion, processing, storage, analytics, and visualization at scale. The modular structure allows participants to select individual courses or complete the full collection based on their role and stage in the data modernization journey.

• Leverage AWS analytics services to ingest, store, process, query, and analyze data at scale
• Design and implement modern batch, streaming, and lake-based data architectures
• Build and operate cloud-native data pipelines using managed AWS services
• Modernize existing data solutions end to end using AWS best practices
• Enable faster, data-driven decision-making through scalable and agile analytics platforms
• Select appropriate AWS analytics services based on workload, performance, and business requirements

• Data Warehouse Engineers
• Data Platform Engineers
• Solutions Architects
• Technical professionals responsible for designing or modernizing data analytics solutions on AWS

• Foundational knowledge of AWS services and cloud concepts
• Familiarity with data analytics, data warehousing, or data engineering concepts
• Experience working with databases or data processing systems is recommended