This is a training course that teaches IT and operations teams how to use AI to spot system problems before they happen and automatically find what went wrong when incidents occur—like giving your IT monitoring tools a smart assistant that predicts outages and pinpoints the cause.
Organizations struggle with reactive incident management, long outage resolution times, and noisy alerts in complex IT environments. This course aims to upskill teams so they can use AIOps tools and techniques to predict incidents, reduce mean time to detect (MTTD) and repair (MTTR), and automate parts of root-cause analysis.
Training and methodology rather than a product; defensibility comes from NobleProg’s curriculum design, instructor expertise, and relationships with enterprise clients, not from proprietary technology.
Classical-ML (Scikit/XGBoost)
Time-Series DB
High (Custom Models/Infra)
High-volume time-series and log data ingestion, model retraining/maintenance for changing systems, and integration with existing monitoring/ITSM tools are typical bottlenecks for AIOps implementations.
Early Majority
This is a vendor-agnostic training offering focused on practical AIOps patterns (incident prediction, root cause automation) rather than a specific SaaS tool, making it suitable for organizations that want to build in-house capability and evaluate or integrate multiple AIOps platforms.
22 use cases in this application