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      Automation Learning Path

      Automation Analytics & Intelligence: Operators

      Automation Analytics & Intelligence (AAI) helps operations teams shift from reactive problem solving to proactive management with unified visibility, predictive insights, and streamlined control. This learning path includes courses on core operational capabilities, and will continue to expand with new modules giving you an increasingly comprehensive overview on Operations Management in AAI.
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      Courses
      6 Chapters
      to review
      5 hours
      estimated completion

      AAI - Navigating the Interface and Refining Data Views

      1 hour AAI Data Insights October 15, 2025

      This course introduces you to AAI’s interface and shows you how to navigate efficiently, work with tables, and refine large datasets using search and filter tools. Learn through realistic use cases, guided walkthroughs, and a short quiz to test your understanding. 

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      AAI - Searching and Filtering Jobs

      1 hour AAI Jobs September 17, 2025

      When a jobstream slows down, the real challenge is finding the jobs behind it. Searching and Filtering Jobs in AAI gives you the tools to quickly locate jobs, cut through large volumes of data, and isolate the ones that impact workload performance. You’ll practice these skills through real-world scenarios and check your understanding with a short quiz.

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      AAI - Using Dashboards for Workload Monitoring

      1 hour AAI Workload Dashboards October 27, 2025

      Before you can act on workload trends in Automation Analytics & Intelligence (AAI), you need a clear way to visualize how your schedulers, machines, and jobstreams are performing. Dashboards in AAI bring this visibility into one place, helping you monitor workload health, track SLA compliance, and respond to anomalies in real time.

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      AAI - Configuring & Responding to Jobstream Alerts

      1 hour AAI Jobstreams November 20, 2025

      Before you can manage jobstream performance in AAI, you need to define the right alerting strategy. Whether you're activating alerts for a jobstream, refining existing rules, or troubleshooting alert triggers, AAI gives your operations teams the tools to respond proactively, without getting overwhelmed by notification noise.

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      Additional Learning Path: Observability and Intelligence with Data Insights in AAI

      AAI - Monitoring Jobstreams Using Business Areas

      45 minutes AAI Monitoring with BAs January 9, 2026

      Monitoring workloads across multiple schedulers, applications, and business processes can quickly become overwhelming. Business areas in Automation Analytics & Intelligence (AAI) help operators simplify this complexity by grouping related jobstreams into meaningful structures, allowing you to focus on the processes that matter.

      This course walks you through how business areas structure workload visibility in AAI and how you can use them to filter your monitoring views. You’ll also learn how to refine business area preferences to guide your monitoring experience and build dashboard tabs tailored to the workloads you support.

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      Video: AAI v24.3 - Advanced SLA Management

      Broadcom's Automation Analytics & Intelligence (AAI) v24.3 introduces a range of enhancements to SLA management. In this overview, you will learn about these updates and how they will help with keeping your deadlines aligned with business priorities. These enhancements will be available in all subsequent releases of AAI.

      With the new Advanced SLA Management features, you can:

      • Set multiple SLAs for a single job stream by day of the week

      • Define a ‘Start By’ time with alerts and get notified if a job stream doesn’t begin on schedule

      • Maintain consistent SLA time zones

      • View and configure alerts with a redesigned alerts interface

      • View the new SLA changes and alert data across jobstream runs, timeline, and grid views