The Implementing and Troubleshooting Networks Using Cisco Thousand Eyes (ENTEIT) v1.0 course is designed to introduce you to and familiarize you with Cisco® Thousand Eyes. Through a combination of lectures and hands-on experience, you will learn to implement and configure the Cisco Thousand Eyes solution. You will also learn to install and configure the Cisco Thousand Eyes agents with different test types. This solution will also enable you to perform root cause analysis when troubleshooting.
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This virtual course targeted to SREs and DevOps enables you to monitor and troubleshoot your Kubernetes clusters with Splunk Observability Cloud. Through discussions and hands-on activities, learn to explore and use the Kubernetes Navigator, built-in dashboards, and AutoDetect to monitor the health of your cluster. Create custom dashboards and detectors to monitor and troubleshoot common Kubernetes trouble conditions. This course assumes basic knowledge of Kubernetes and familiarity with navigating Splunk IM.
This lab-oriented class is designed to help you learn best practices and tips to use Splunk Observability Cloud to monitor and troubleshoot Kubernetes clusters. All hands-on labs are performed in the Observability Cloud UI.
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This single subject course targeted to developers enables you to manually instrument your applications to send traces to Splunk APM. Through in-person discussions and hands-on activities, learn to manually instrument applications to create spans and add metadata to spans. This course assumes familiarity with navigating Splunk APM which is covered in the course Using Splunk Application Performance Monitoring.
This lab-oriented class is designed to help you learn the fundamentals of instrumenting your code to send in traces and trace metadata. All hands-on labs are in Python and Java.
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This course is targeted towards Splunk On-call admins responsible for setting up incident response with Splunk On-Call. This 4.5-hour virtual course describes the tasks required to set up on-call teams, including defining schedules, on-call rotations and shifts. Learn to set-up and configure alerts and integrations. Create post incident review reports, track response metrics and customize reports. Use advanced features such as the Rules engine for advanced customization and configure webhook integrations. All concepts are taught using lectures and scenario-based hands-on activities.
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This single subject course targeted to DevOps enables you to learn configuration techniques to send traces to Splunk APM. Through inperson discussions and hands-on activities, learn to deploy the Splunk OpenTelemetry Collector on a Linux host. Use the OpenTelemetry Collector to configure processor components to modify trace metadata. Use auto-instrumentation to send in traces without altering your code. Enable AlwaysOn profiling to monitor code performance. This course assumes familiarity with navigating Splunk APM which is covered in the course Using Splunk Application Performance Monitoring.
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This course is designed for developers responsible for debugging their own applications, and for SREs responsible for troubleshooting performance issues. Splunk Log Observer is built primarily for DevOps teams working on applications built on modern tech stacks (containerized microservices). However, the course can be taken by anyone who wants to view recent log data in a no-code environment.
This 4.5-hour course describes how to use the tool to work with log data using the no-code user interface. Learn to create, save, and share search filters, and to investigate the shape of your log data. Learn to add log messages to dashboards. Analyze logs with aggregation functions and group by rules. Create rules to manipulate incoming data and generate synthetic metrics from log data.
All concepts are taught using lectures and scenario-based hands-on activities.
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This course serves as the foundation for all other Splunk Observability courses. It is targeted towards DevOps/SRE/Observability teams, Senior On-call Engineers, Onboarding and Monitoring Strategists and Developers. This 6-hr course provides a fundamental understanding of Metrics Monitoring in Splunk Observability such as the metrics data model and different types of metadata. See how you can interact with data using built-in content, search for metrics, find more information about a metric, visualize and alert on metrics. Learn to use appropriate rollups, interpret chart data based on chart resolution, rollups, and analytic functions. All concepts are taught using lectures and scenario-based hands-on activities.
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This 3 hours course prepares IT professionals to configure and manage SOAR.
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This Google Cloud course empowers you to develop scalable, performant LookML (Looker Modeling Language) models that provide your business users with the standardized, ready-to-use data that they need to answer their questions. Upon completing this course, you will be able to start building and maintaining LookML models to curate and manage data in your organization’s Looker instance.
Now RM2,040 – get 15% off this practical LookML data modeling course.
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Learn how to design and build data processing systems.
In this Google Cloud course, you learn how to do the kind of data exploration and analysis in Looker that would formerly be done primarily by SQL developers or analysts.
Upon completion of this course, you will be able to leverage Looker’s modern analytics platform to find and explore relevant content in your organization’s Looker instance, ask questions of your data, create new metrics as needed, and build and share visualizations and dashboards to facilitate data-driven decision making.
Limited Time Offer: Get up to 45% OFF selected Google Cloud courses in H2 2025 via our Google Cloud Certified program.
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Empower your business with Dialogflow CX’s Advanced AI capabilities.
In this Google Cloud course, learn how to design customer conversations using Contact Center Artificial Intelligence (CCAI). You’ll use Dialogflow CX to create virtual agents and test them using the simulator. Learn to add functionality to access data from external systems, making virtual agents conversationally dynamic. You’ll be introduced to testing methods, connectivity protocols, APIs, environment management, and compliance measures.
Learn best practices for integrating conversational solutions with your existing contact center software and implementing solutions securely and at scale.
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Take your customer conversations to the next level.
In this GCP-CXCCES: Customer Experiences with Contact Center AIDialogflow ES course, learn how to design customer conversations using Contact Center Artificial Intelligence (CCAI). You’ll use Dialogflow ES to create virtual agents and test them using the simulator.
Learn to add functionality to access data from external systems, making virtual agents conversationally dynamic. You’ll be introduced to testing methods, connectivity protocols, APIs, environment management, and compliance measures. Learn best practices for integrating conversational solutions with your existing contact center software and implementing solutions securely and at scale.
