About this Course
Transform your organization's decision-making speed with real-time AI platforms. This Short Course was created to help data professionals accomplish enterprise-grade decision automation that delivers insights within seconds, not hours. By completing this course, you'll be able to configure high-performance alerting systems, evaluate platforms against business criteria, and build streaming pipelines that trigger automated decisions. You'll master the critical skills needed to ensure your decision intelligence systems meet strict SLA requirements while maintaining scalability and governance standards. By the end of this course, you will be able to: configure alerting rules with sub-60-second latency, evaluate platforms using structured scorecards, implement Kafka-Spark decision pipelines, and validate performance under load. This course is unique because it combines hands-on platform configuration with real-world performance validation techniques used by leading enterprises. To be successful in this project, you should have a background in streaming technologies and data platform management
What You'll Learn
- Optimize end-to-end latency in real-time decision systems
- Evaluate platforms balancing performance, governance, and usability
- Design fault-tolerant streaming architectures for reliability
- Validate performance under realistic load conditions
Prerequisites
- Basic familiarity with relevant concepts
- Readiness for case-based and practical exercises
Instructors
Hurix Digital