IBM

This course guides you through the process of deploying and administering IBM Sametime 9.0. It also covers basic troubleshooting.

The Domino Administration Bootcamp covers the most common and critical tasks performed by Domino Administrators. In this course, you will Be introduced to basic concepts that provide the foundation for IBM Domino and IBM Notes Practice performing basic administration tasks using the IBM Domino Administrator client Install and configure a basic infrastructure with a single domain Perform standard server maintenance and troubleshooting tasks

This course goes through the stages of a data science project from importing data to deployment, using services in Watson Studio and Watson Machine Learning for Cloud Pak for Data.

This learning offering will tell a holistic story of Cloud Pak for Data including collaboration across an organization, which is key in this platform. Applicable to all personas. Multiple use cases will provide understanding of how organizations can benefit from Cloud Pak for Data. A variety of features will also be explored, providing students with the insight on how to use the platform. This learning is relevant for Cloud Pak for Data and Cloud Pak for Data System. This WBT contains instructional and interactive content, demonstrations and hands-on simulated exercises.

IBM SPSS Modeler is a premium service for IBM Cloud Pak for Data V3.0.x This course reviews the basics of how to import, explore, and prepare data, and introduces the student to machine learning models with SPSS Modeler for Cloud Pak for Data.

This course covers the methods of preparing for, training, and implementing an IBM Watson Assistant chatbot. It provides instruction on every step of the Assistant development process, including common use case review, user scenario development, vocabulary comprehension, data collection, tooling use, and deployment.

You will learn how Watson OpenScale lets business analysts, data scientists, and developers build monitors for artificial intelligence (AI) models to manage risks. You will understand how to use Watson OpenScale to build monitors for quality, fairness, and drift, and how monitors impact business KPIs. You will also learn how monitoring for unwanted biases and viewing explanations of predictions helps provide business stakeholders confidence in the AI being launched into production. Note: This course contains the same topics as 6X240G IBM Watson OpenScale on IBM Cloud Pak for Data WBT.

In this 6 hour web-based training (WBT), you will learn how Watson Discovery lets business analysts and developers rapidly build cognitive, cloud-based exploration applications that unlock actionable insights hidden in unstructured data — including your own proprietary data, as well as public and third-party data.

In this course, you will explore data preparation, data modeling, data visualization, and data cataloging using Watson Studio, Watson Knowledge Catalog, and Watson Machine Learning.

This training offering provides business analysts with an introduction to the basics of IBM Watson Knowledge Catalog. They will learn how to access the Watson Knowledge Catalog and gain skills in creating catalogs, populating them with assets, and then managing the assets in the catalog.

IBM Cognos Command Center: Automation Using Plugin Tasks (V10.2) is a one hour vignette that displays many ways in which IBM Cognos Command Center (ICCC) functionality can be extended using plugins. Through demonstration you will learn how to use file utilities and ftp utilities to manipulate and extract information from files, use system utilities to monitor and manage Windows services, and interact with IBM Cognos TM1 processes, chores and other objects. 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 designed to teach students core concepts of IBM Watson Explorer Deep Analytics Edition oneWEX. Students will learn to identify the oneWEX platforms as well as the process flow and data flow of oneWEX projects. Students will explore oneWEX tools, such as Content Miner and the Admin Console, while gaining hands-on experience in data acquisition and enrichment. Finally, students will be exposed to more advanced topics, such as Application Builder, Content Analytics Studio, and API usage. 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. http://www.ibm.com/training/terms

In this course, you will learn the core features and functionality of Watson Explorer Analytical Components. This functionality is found in Watson Explorer Advanced Edition. The Advanced Edition also includes the Foundational Components functionality which is covered in a separate 4 day course (O3100). This course is designed to introduce the technical student to using the content analytics, annotator, and content mining functionality. This primary functionality is found in an Analytics collections crawling, parsing, indexing, annotating, and searching components. In this course we will look at the results of analytic collections thru the products Content Miner application. This course will also look at creating and deploying a custom annotator using Content Analytics Studio. This course offers hands-on labs giving students exposure to the various aspects of configuring analytics collections and creating custom annotators that can be used in solutions that will involve Watson Explorer Analytical Components functionality. 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. http://www.ibm.com/training/terms

In this course, you will learn the core features and functionality of Watson Explorer Foundational Components. This core functionality is found in all editions of Watson Explorer (Enterprise and Advanced edition). This course is designed to introduce the technical student to using the enterprise search functionality in creating applications using the Search Engine and Application Builder capabilities. In this course will look at configuring search collection and engine components for ingesting, converting, indexing, and querying. This course will also introduce you to the design process of creating an Application Builder 360-degree application. This course offers hands-on labs giving students exposure to the various aspects of configuring components that will be used in solutions that will involve Watson Explorer Foundational Components functionality. f 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. http://www.ibm.com/training/terms

This is the fourth simulation module of six modules for Maximo 7.6 Anywhere.  It covers the configuration of Maximo 7.6 Anywhere, which includes an overview of the process, modifying a label, adding a new field, adding a query, adding a sorting key, configuring the login screen and adding a lookup to the mobile interface.

This offering teaches Cloudant developers how to build and query all of the different types of indexes supported by Cloudant. Note: Guided eLearning is a self-paced offering which includes web-based content for self study and videos (including audio) that demonstrate hands-on activities. 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. http://www.ibm.com/training/terms

Teaches experienced DataStage developers how to use the Hierarchical Data stage to parse, compose, and transform XML data. Note: Guided eLearning is a self-paced offering which includes web-based content for self study and videos (including audio) that demonstrate the hands-on activity. 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. http://www.ibm.com/training/terms

This course provides Administrators with guidance on installing and administering the IBM Planning Analytics - Local environment. The course outlines how the architecture can be customized to fit into various infrastructures. Students will learn how to install and configure IBM Planning Analytics - Local, monitor system performance, and secure applications. Note: Guided eLearning is a self-paced offering which includes web-based content for self-study and videos (including audio) that demonstrate activities. 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. http://www.ibm.com/training/terms