Part 1 – Near Real-time Analytics Pipeline: Learn how to build production-grade streaming analytics using AWS’s modern data lake stack. See how to combine Amazon Kinesis for real-time ingestion, Amazon S3 Tables with Apache Iceberg, and Amazon QuickSight for powerful clickstream analytics. Perfect for data engineers seeking to build serverless analytics at scale.
Part 2 – GenAI Observability Solution: Discover how to implement comprehensive monitoring for AI/ML workloads using Amazon OpenSearch. Learn to track crucial metrics like token usage, latency, and model safety in real-time while ensuring responsible AI deployment through advanced observability features. Essential viewing for ML engineers and operators managing AI systems in production.
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