Learn the business value and product capabilities of Microsoft Power Platform. Connect data with Dataverse, build simple canvas and model-driven apps, automate a process with Power Automate, and build a Power Pages site.
PRO Tip: What makes Power Apps different from other tools such as SkyBow, Stratus Forms, FlowForma and more? Do check out our latest Design Customized Apps with Microsoft Power Apps blog post to know more.
This 2Z840G: InfoSphere MDM Workbench v11 course is designed for anyone who wants to get an understanding of how to use and customize the InfoSphere Master Data Management using the InfoSphere MDM Workbench. This course takes a participant through the process customizing both the Virtual and Physical MDM using the InfoSphere MDM Workbench. The focus of the course is on the core features of the Workbench: Creating a Physical MDM Addition, creating a Physical MDM Extension, creating a Physical MDM Behavior Extension, creating a composite service, deploying a Virtual MDM configuration, configuring the Virtual Data Model, creating a Virtual custom Composite View, creating a Virtual Callout Handler, generating an enterprise service interface using the Virtual data model and customizing a Hybrid implementation.
For each core area, the instructor will explain the high-level concepts, have the participants work with the feature and then demo and review the feature details. Heavy emphasis is put on exercises and activities, allowing course participants to apply the knowledge that they learn in the classroom, after course conclusion.
If you are enrolling in a Self Paced Virtual Classroom or Web Based Training course, before you enroll, please review the Self-Paced Virtual Classes and Web-Based Training Classes on our Terms and Conditions page, as well as the system requirements, to ensure that your system meets the minimum requirements for this course.
This three-hour course is designed for power users who want to create maps in Splunk. It focuses on the data and components required to create cluster and choropleth maps. It also shows how to format, customize and make maps interactive.
This 0A0U8G: Predictive Modeling for Categorical Targets Using IBM SPSS Modeler v18.1.1 course focuses on using analytical models to predict a categorical field, such as churn, fraud, response to a mailing, pass/fail exams, and machine break-down. Students are introduced to decision trees such as CHAID and CR Tree, traditional statistical models such as Logistic Regression, and machine learning models such as Neural Networks.
Students will learn about important options in dialog boxes, how to interpret the results, and explain the major differences between the models.
This unit provides training on IBM StoredIQ. You learn about StoredIQ architecture, features, and functions. You also learn the core skills for data experts, matter experts, and administrators. You work with an IBM StoredIQ system to practice the skills that you learn.
If you are enrolling in a Self Paced Virtual Classroom or Web Based Training course, before you enroll, please review the Self-Paced Virtual Classes and Web-Based Training Classes on our Terms and Conditions page, as well as the system requirements, to ensure that your system meets the minimum requirements for this course.
This course is an introduction to IBM Case Manager, concepts, functions, and architecture. Participants use an IBM Case Manager system to practice the skills that are required by case workers to process cases and create runtime tasks.
This KM700G: IBM BigIntegrate for Data Engineers v11.5.0.2 course teaches data engineers how to run DataStage jobs in a Hadoop environment. You will run jobs in traditional and YARN mode, access HDFS files and Hive tables using different file formats and connector stages.
This course is also available as self-paced virtual (e-learning) course Web Services Support in IBM DataPower V7.5 (WE754G). This option does not require any travel.
This course teaches you the developer skills that are required to configure WS-Security features and use WSDLs to generate web service proxy services on IBM DataPower Gateway V7.5.
The initial focus of DataPower was on XML and web services workloads, and it continues that support today. As part of that support, DataPower provides the ability to digitally sign and encrypt a message, validate the signature of a message, and decrypt an encrypted message. These functions are delivered as processing actions within the service policy. In this course, you learn about these message integrity and confidentiality capabilities and practice using them in a lab exercise.
Web service operations typically work with WSDL files. DataPower generates a web service proxy directly from a WSDL, bypassing much of the basic configuration of a service to support that WSDL. This course also covers this service type of web service proxy and gives you an opportunity to work with one in a lab exercise.
This course is also available as self-paced virtual (e-learning) course Supporting REST and JOSE in IBM DataPower Gateway V7.5 (ZE752G). This option does not require any travel.
This course teaches you the developer skills that are required to configure and implement services that support REST-based traffic and JOSE-based signatures and encryption on the IBM DataPower Gateways (IDG) with firmware version 7.5.1.
The DataPower Gateways allow an enterprise to simplify, accelerate, and enhance the security capabilities of its JSON, XML, web services, and REST deployments. For JSON payloads, DataPower supports digital signatures and encryption that conform to the JSON Object Signing and Encryption (JOSE) specification.
Through a combination of instructor-led lectures and hands-on lab exercises, you learn how to use the configuration options, processing actions, and GatewayScript to support REST-based message traffic. To protect JSON message payloads, you use JSON Web Signature (JWS) and JSON Web Encryption (JWE) actions in the processing policy of a service.
Hands-on exercises give you experience working directly with a DataPower gateway. The exercises focus on skills such as selecting request and response types, using the HTTP method criteria in a matching rule, style sheet and GatewayScript transforms, GatewayScript CLI debugging, signing JSON payloads, and encrypting JSON payloads.
This course teaches you the developer skills that are required to configure and implement authentication and authorization support within your IBM DataPower Gateway V7.5 services.
A common requirement for DataPower services is to authenticate the sender of a message, and authorize that sender to request the messages behavior. The AAA action within DataPower provides the basics of the authenticate, authorize, and audit support.
OAuth is an authorization framework that defines a way for a client application to access server resources on behalf of another party. It provides a way for the user to authorize a third party to their server resources without sharing their credentials. DataPower supports OAuth specifications and protocols and can provide an OAuth web token service.
OpenID Connect (OIDC) is an authentication layer that runs on top of an OAuth 2.0 authorization framework. DataPower can operate as an OIDC client.
This three-hour course is for power users who want to improve search performance. Topics will cover how search modes affect performance, how to create an efficient basic search, how to accelerate reports and data models, and how to use the tstats command to quickly query data.
This three-hour course is for knowledge managers who want to use lookups to enrich their search environment. Topics will introduce lookup types and cover how to upload and define lookups, create automatic lookups, and use advanced lookup options. Additionally, students will learn how to verify lookup contents in search and review lookup best practices.
This three-hour course is for power users who want to become experts on searching and manipulating multivalue data. Topics will focus on using multivalue eval functions and multivalue commands to create, evaluate, and analyze multivalue data.
This three-hour course is designed for power users who want to learn best practices for building dashboards in the Dashboard Studio. It focuses on dashboard creation, including prototyping, the dashboard definition, layouts types, adding visualizations, and dynamic coloring.
This three-hour module is designed for power users who want to learn best practices for building dashboards in the Dashboard Studio. It focuses on creating inputs, chain searches, event annotations, and improving dashboard performance.
MDEC Digital Up Campaign: Enjoy up to RM2,500 Training Fee Reimbursement when you sign-up and attend this course from 15 July – 30 Sept 2023 (Open to Malaysians, Employed, Unemployed, Fresh Graduates, OR Gig workers aged 21-55 years old).
This three-hour course is for power users who want to learn about fields and how to use fields in searches. Topics will focus on explaining the role of fields in searches, field discovery, using fields in searches, and the difference between persistent and temporary fields. The last topic will introduce how fields from other data sources can be used to enrich search results.
This three-hour course is designed for power users who want to learn how to use lookups and subsearches to enrich their results. Topics will focus on lookup commands and explore how to use subsearches to correlate and filter data from multiple sources.
This 1-virtual day course targeted to developers and DevOps enables you to use Splunk APM to analyze traces, troubleshoot and monitor your microservices-based applications. Through in-person discussions and hands-on activities, deep dive into uses of distributed tracing, navigating the Splunk APM app to analyze traces, visualize and alert on APM metrics.
All concepts and taught through discussions and hands-on activities.
This 1-day virtual course targeted to developers and DevOps enables you to instrument your applications to send traces to Splunk APM. Through in-person discussions and hands-on activities, learn to deploy the Splunk OpenTelemtry Connector on a Linux host. Use auto-instrumentation to send in traces without altering your code. Use manual instrumentation 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-orientated class is designed to help you learn the fundamentals of instrumenting your code to send in traces. All hands-on labs are in Python and Java.
This one-day course is designed for analyst users who want to use Splunk IT Service Intelligence to manage, analyze, and optimize their IT services. Those who will implement Splunk IT Service Intelligence, please enroll in Implementing Splunk IT Service Intelligence instead
This three-hour SPLK-SO: Search Optimization course is for power users who want to improve search performance. Topics will cover how search modes affect performance, how to create an efficient basic search, how to accelerate reports and data models, and how to use the tstats command to quickly query data.
This 1-virtual day course is designed for the experienced Splunk system administrators. This hands-on class is designed to provide the essential knowledge for deploying and managing Splunk SmartStore.
It covers SmartStore deployment options, cache manager configurations, monitoring, and troubleshooting of SmartStore implementation.
This 3 hours course prepares IT professionals to configure and manage SOAR.
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.
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.
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.
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.
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.
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.
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.
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.
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!
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:
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
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.
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.
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.
In a world that never stands still, we help you move forward.
With over 30 years of experience, Trainocate has been empowering individuals and businesses to build the essential skills that drive growth and success. Whether it’s professionals advancing in their careers or organizations transforming their workforce, our training programmes deliver results.
Specializing in cloud computing, data & AI, cybersecurity, and digital leadership, our training is powered by industry-leading technology partners like AWS, Alibaba Cloud, Cisco, EC-Council, Fortinet, Google Cloud, IBM, ISACA, ISC2, Microsoft, NetApp, Nutanix, Oracle, Palo Alto, Splunk, Red Hat, Rocheston, Trend Micro, and VMware.
Trainocate Group operates in 24 countries blending global expertise with localized insights to train the next generation of tech professionals and business leaders.
Trainocate Malaysia, based in KL Eco City, is proud to be an HRD Corp Registered Training Provider and a Yayasan Peneraju ALTI, driving workforce development across Malaysia.