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.
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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.
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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.
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In this course, you will learn about the fundamental concepts, methods, and strategies for using generative AI. You will gain a solid understanding of use cases where generative AI can provide solutions and address business needs.
Additionally, you will learn about practical insights into technologies related to generative AI and how you can use those technologies to solve real-world problems.
By the end of the course, you will explore project planning and how to discuss implementation of generative AI in your organization.
Trainocate is an AWS Authorized Training Partner as well as the AWS Global Training Partner of the Year 2024 is trusted by AWS to offer, deliver, and/or incorporate official AWS Training, including classroom and digital offerings. Whether your team prefers to learn from live instructors, on-demand courses, or both, ATPs offer a breadth of AWS Training options for learners of all levels.
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!
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This four-hour course is for power users who want to use commands to manipulate output and normalize data. Topics will focus on specific commands for manipulating fields and field values, modifying result sets, and managing missing data. Additionally, students will learn how to use specific eval command functions to normalize fields and field values across multiple data sources.
Limited time offer: Splunk Core Certified Power User certification at 30% discount!
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Learn about 78+ AWS Cloud concepts, AWS services, security, architecture, pricing, and support to build your AWS Cloud knowledge.
Are you new to the AWS Cloud and looking to jump-start your cloud journey? Do you want to prepare for the AWS Certified Cloud Practitioner exam but don’t know where to start?
Dedicate a day toward building your AWS cloud skills and confidence to advance your career with our one-day classroom course, AWS Cloud Practitioner Essentials.
The fundamental-level AWS Cloud Practitioner Essentials course is intended for individuals who seek an overall understanding of the AWS Cloud, independent of specific technical roles. It provides a detailed overview of cloud concepts, AWS services, security, architecture, pricing, and support. This fundamental AWS course also helps you prepare for the AWS Certified Cloud Practitioner exam.
AWS Discovery Day 2025: Develop Generative AI & Prompt Engineering Capabilities
This FREE Virtual Event on Friday, August 29 2025, from 9:30 AM – 4:00 PM (MYT) — designed for business leaders, IT professionals, and technical teams across Malaysia.
Secure your spot now.Trainocate is an AWS Authorized Training Partner as well as the AWS Global Training Partner of the Year 2024 is trusted by AWS to offer, deliver, and/or incorporate official AWS Training, including classroom and digital offerings. Whether your team prefers to learn from live instructors, on-demand courses, or both, ATPs offer a breadth of AWS Training options for learners of all levels.
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This GCPPCA-E: Preparing for the Professional Cloud Architect Examination course provides basic information about the Professional Cloud Architect certification exam, including sample questions. It’s designed to eliminate any confusion or misunderstandings about the process and nature of the exam itself. You’ll also explore additional training resources that can help you prepare for the exam.
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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.
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This F2930G: IBM Case Manager: Solution Deployment from Design to Production v5.3.2 course is designed to show you how to migrate and deploy Case Manager solutions from development to preproduction and production. Participants use a system with two instances of IBM Case Manager to practice the skills that are required by solution builders and administrators to migrate and deploy solutions from one environment to another.
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This IBM Predictive Modeling training course provides an overview of how to use IBM SPSS Modeler to predict a target field that describes numeric values. Students will be exposed to rule induction models such as CHAID and CR Tree. They will also be introduced to traditional statistical models such as Linear Regression. Students are introduced to machine learning models, such as Neural Networks. Business use case examples include: predicting the length of subscription for newspapers, telecommunication, and job length, as well as predicting insurance claim amounts.
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This 0A039G: Advanced Machine Learning Models Using IBM SPSS Modeler (V18.2) course presents advanced models available in IBM SPSS Modeler. The participant is first introduced to a technique named PCA/Factor, to reduce the number of fields to a number of core factors, referred to as components or factors. The next topics focus on supervised models, including Support Vector Machines, Random Trees, and XGBoost. Methods are reviewed on how to analyze text data, combine individual models into a single model, and how to enhance the power of IBM SPSS Modeler by adding external models, developed in Python or R, to the Modeling palette.
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In this course, you will customize IBM Case Manager Client without using much code. In an IBM Case Manager system, you will create pages with custom layout and implement new actions by configuring buttons and menu items. You will use the Calendar widget to track case events and a Script Adapter widget to transform the data. You will learn how to wire two widgets together to establish communication, customize views for case properties including business objects, specify viewers for documents, and implement External Data Services to create dependent choice lists.
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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.
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This course enables students to acquire the skills necessary to use the Information Governance Catalog to analyze metadata stored within the Information Server Repository. The emphasis is on how metadata gets captured within the repository and how to explore and analyze the metadata it contains.
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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.
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In this course you will configure security for IBM Case Manager environments and solutions. You will work with project areas, control access to cases, and create security configurations. You will deploy a solution in a new environment and use a security configuration package file to manage solution security. You will customize security settings with a custom privilege definition and use security proxies to automate security changes.
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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.
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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.
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This course gets you up and running with a set of procedures for analyzing time series data. Learn how to forecast using a variety of models, including regression, exponential smoothing, and ARIMA, which take into account different combinations of trend and seasonality.
The Expert Modeler features will be covered, which is designed to automatically select the best fitting exponential smoothing or ARIMA model, but you will also learn how to specify your own custom models, and also how to identify ARIMA models yourself using a variety of diagnostic tools such as time plots and auto correlation plots .
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This course focuses on reviewing concepts of data science, where participants will learn the stages of a data science project. Topics include using automated tools to prepare data for analysis, build models, evaluate models, and deploy models. To learn about these data science concepts and topics, participants will use IBM SPSS Modeler as a tool.
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This course covers advanced topics to aid in the preparation of data for a successful data science project. You will learn how to use functions, deal with missing values, use advanced field operations, handle sequence data, apply advanced sampling methods, and improve efficiency.
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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.
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In this course students learn how the Information Governance Catalog is used to govern information assets through the development of a governance catalog of categories and terms. This catalog documents information assets and governance policies and rules that implement the high-level strategy and objectives of a governance program.
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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.