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  • 1 Day VILT

    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.

  • 1 Day VILT

    This 4.5-hour virtual course, targeted towards developers and DevOps, focuses on creating custom metrics to monitor your applications/services with Splunk IM. Learn to instrument applications/services to send in custom metrics that characterize the application of service. Define relevant metadata for your metrics to let you find, filter and aggregate the metrics that you want to chart or alert on. Create charts and custom dashboards to visualize these custom metrics. Create detectors to monitor the metrics to alert when there are any issues with the application or service. This course assumes that you have completed the Splunk Infrastructure Monitoring Fundamentals course. Learn the concepts and apply the knowledge through discussions and hands-on activities.

  • 1 Day VILT

    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.

  • 1 Day VILT

    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.

  • 1 Day VILT

    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.

  • 1 Day VILT

    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.

  • 1 Day VILT

    This blended course is for Devops/SREs and Developers.

    The course describes ways to enhance dashboards and alerts to help with troubleshooting. You will also be able to
    find insights using analytics in charts and detectors and to create detectors for common use cases.

  • -24%

    PL-300T00: Design and Manage Analytics Solutions using Power BI

    Price range: RM2,399.00 through RM3,174.00
    3 Days ILT, VILT

    This course covers the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI.

    The course will show how to access and process data from a range of data sources including both relational and non-relational sources. Finally, this course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution.

    Discover opportunities in Malaysia’s growing digital economy. With billions of dollars invested by global tech giants like AWS, Microsoft, Google, and Oracle, Malaysia is rapidly emerging as a hub for digital innovation.​ The demand for certified Data and AI professionals has never been higher, making it the perfect time to elevate your career.

    Explore the top Data and AI certifications for 2025. Be the professional businesses are searching for—get Data & AI certified today!

  • 2 Days ILT, VILT

    Master Professional Communication: Diplomacy, Tact, & Credibility

    Your communication skills are the cornerstone of your professional image. Elevate your influence and career prospects by mastering diplomacy, tact, and credibility in every business interaction. This seminar empowers you to:

    • Choose Your Words Wisely: Understand the impact of language and emotional tone.
    • Understand Communication Styles: Gain insights into your own style and adapt to others.
    • Transmit & Receive Information Clearly: Develop skills for effective exchange of ideas, thoughts, and feelings.

    Why This Matters: Strong communication skills build positive reputations, enhance collaboration, and unlock career advancement.

    Learn more about effective communication in IT projects: The Power of Effective Communication in Malaysia’s IT Projects

  • GCPPPDE-E: Preparing for the Google Cloud Professional Data Engineer Examination

    Price range: RM2,400.00 through RM2,940.00
    1 Day ILT, VILT

    This official Google Cloud course will help you prepare for the Google Professional Data Engineer certification exam. This session uses lectures, quizzes, and discussions to help you become familiar with the structure and format of the exam. You’ll take part in exam question reasoning and case comprehension, get tips from certified experts, and review topics from the Data Engineering curriculum.

    At the end of the course, you’ll take an ungraded practice exam and then a graded practice exam that will simulate the exam-taking experience.

  • 1 Day ILT, VILT

    In this course, you’ll learn the fundamentals and best practices of SRE, the importance of adopting an SRE culture, and how SRE can improve collaboration between IT and business leaders—and help the entire organization succeed.

  • GCP-MLOF: MLOps (Machine Learning Operations) Fundamentals

    Price range: RM2,400.00 through RM3,242.00
    1 Day ILT, VILT

    This GCP-MLOF: MLOps (Machine Learning Operations) Fundamentals course introduces participants to MLOps tools and best practices for deploying, evaluating, monitoring and operating production ML systems on Google Cloud. MLOps is a discipline focused on the deployment, testing, monitoring, and automation of ML systems in production.

    Machine Learning Engineering professionals use tools for continuous improvement and evaluation of deployed models. They work with (or can be) Data Scientists, who develop models, to enable velocity and rigor in deploying the best performing models.

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