LearnQuest

This hands-on course introduces learners to the principles and practices of Large Language Model Operations (LLMOps), focusing on the development, deployment, and governance of AI models using IBM's watsonx.ai platform. Participants will explore the IBM LLM workflow, utilize Prompt Lab for model prompting, and develop Retrieval-Augmented Generation (RAG) models with AutoAI. The course emphasizes practical experience through UI-based labs, enabling learners to build, deploy, and monitor AI models effectively.

Course Objectives:

• Define the fundamentals of Large Language Model Operations (LLMOps)
• Navigate and apply the IBM LLM workflow within the watsonx.ai platform
• Develop RAG models using AutoAI, integrating in-memory or external vector databases.
• Leverage Prompt Lab to create and refine prompts for foundational models, focusing on tasks like summarization.
• Deploy AI models and implement governance strategies using IBM's AI Governance tools to ensure compliance and transparency.

Course Highlights:

• Hands-on labs conducted via the watsonx.ai user interface.
• Practical experience with IBM's generative AI suite, including Prompt Lab and AI Governance.
• Development of RAG models utilizing AutoAI's features for efficient information retrieval.
• Application of Prompt Lab for developing summarization models using foundational models.
• Deployment and governance of AI models to monitor performance and ensure ethical AI practices.

Target Audience:

This intermediate level course is designed for aspiring AI specialists, data scientists, developers, or anyone interested  interested in learning LLMOps using IBM's watsonx.ai platform. 

Prerequisites:

• Basic knowledge of Large Language Models but not required
• Familiarity with IBM's watsonx.ai platform is beneficial but not required.

In this two-day intermediate-level course, you learn about case solution design. You export and import case solutions. You define various case objects such as properties, choice lists, roles, business objects, and case types. You create To-do Tasks and Container activities and implement preconditions and Sets to manage activities. You create custom property views for case pages. You model BPM processes for case activities and create client-side human services. You create case stages and manage the stages manually and automatically with JavaScript. This course also teaches you how to create custom pages and implement Free Form page layout and utility widgets for case solutions.

This course provides technical professionals with the skills that are needed to build Datacap applications.

The course begins with an introduction to IBM Datacap. You learn about capture concepts, Datacap process, page identification methods, and architecture. You process batches for Datacap applications in the Datacap clients.

You learn about the design and components of a Datacap application. You build a Datacap application by using Forms Template in Datacap Studio and configure it. You learn how to troubleshoot a Datacap application. You configure a Datacap application to process documents of multiple page types in a single batch. You implement OCR and OMR to extract data from data fields and from multiple choice check boxes. You export data to a text file and also to an IBM FileNet Content Manager repository.

You build page layouts, create virtual page blocks, and extract data from tables and label-value pairs.

Through instructor-led presentations and hands-on lab exercises, you learn about the core features of IBM Datacap.

This course teaches you how to develop a microservice application by using IBM Liberty. Liberty is a lightweight Java™ runtime that is built by using modular features. It is available as both open source and commercial offerings.

In this course, you learn how to use Liberty, Jakarta EE, and MicroProfile to build a RESTful microservice application. MicroProfile is an open-source specification that defines new standards and APIs to accelerate and simplify the creation of microservices. You also explore other features of Liberty and developing microservices applications.

In the hands-on exercises, you build a microservice application, containerize it, and then deploy it on Kubernetes.

This is the second course in a two-part series that teaches developers how to use IBM Operational Decision Manager 8.11.1 to develop and integrate decision services. After a brief review of the first course in this series, you learn how to support business users by customizing rule vocabulary with categories and domains. You work with queries and rule extractors for deployment, and debug tools to ensure the business logic is error free. You work extensively with Rule Execution Server as you learn how to manage ruleset deployment and execution. You also learn how Operational Decision Manager features support decision governance so that it can be implemented in your organization.

This hands-on lab is intended to prepare students for the S2000-001 DOORS Next v7.x Specialty exam required for the IBM Engineering Requirements Management - DOORS Next v7.x Specialty certification.   It is recommended that you thoroughly study the 6 sections of Exam Objectives and gain real-life experience of using DOORS Next v7 before attempting this exam.

This lab covers topics from the following Exam Objectives:

• Gather, refine and elaborate requirements (25%)
• Collaborate on requirements (15%)
• Capture relationships (18%)
• Analyzing and reporting  (9%)
• Requirement reuse (16%)
• Integrations (17%)

This hands-on course will explore topics in each of these areas; however, it is not intended to cover all topics included in the certification exam.  This course will assist candidates in familiarizing themselves with DOORS Next capabilities and provide an opportunity to dive deeper into some areas which may be tested in the exam.

This course provides technical professionals an introduction to FileNet Content Manager in a containerized environment. It teaches you how to work with an IBM FileNet Content Manager repository including how to access content using Business Automation Navigator. The course begins with an introduction to IBM Cloud Pak for Business Automation. You learn about IBM FileNet Content Manager container environment, features, and architecture. You access content using Administration Console for Content Platform Engine (ACCE) and Navigator.

IBM Guardium® Data Protection (Guardium) is a scalable data security platform that meets the demands of modern environments. It provides a broad range of data security and protection capabilities that can protect sensitive and regulated data across environments and platforms. This course focuses on the administrative tasks necessary to access and manage Guardium systems and data. Hands-on exercises reinforce the skills that are learned. 

Note: This course is based on Guardium version 12.1.

Does your organization have sensitive data? Is that data monitored? Is it secure? Learn how using Guardium policies, reports, and alerts can monitor and protect data no matter where it resides.

This course provides an advanced-level continuation of the topics necessary to successfully create IBM App Connect message flow applications. These applications center on various nodes that help message flow aggregation, AES 256-bit encryption to secure data in vault. and monitoring message flows. The course allows you to create message flows that use business transaction monitoring to monitor a message across multiple message flows, debugging with user tracing, and the development of user-defined properties in a subflow.

This course provides instruction in using IBM App Connect Enterprise to apply advanced topics such as basic security authentication on deployed integrations, message flow monitoring to help in problem determination, and creating user-defined properties in a message flow. The first part of this course covers message flow aggregation, encrypting credentials and storing them in the IBM App Connect vault, and debugging message flows. The second half introduces dynamic features that use IBM App Connect web user Interface to Record and Replay messages, create a business transaction definition, and view various business events in a completed, failed, inconsistent, and in-progress state.

This course is intended to teach the necessary knowledge and skills to install, configure, and use the IBM Aspera Console to manage an Aspera environment.

This intermediate-level course covers the modeling of process flow, sequence flow, tokens, gateways, and intermediate events. Using the core requirements for an HR recruitment process, you determine and create all the necessary assets to support a coach in the Hiring Request Process. You use complex business objects to organize your data, and pass data into and out of a linked process. You implement a service for an activity, and map variables between a nested service and an activity. You also create a toolkit to enable sharing of your assets. The course concludes with conducting a playback session. You demonstrate the process, following various paths that flow from the exclusive gateways in the process and demonstrate tasks that are assigned.

This introductory course integrates training in Case Management methods and implementation with IBM Business Automation Workflow (BAW).

The course introduces IBM Business Automation Workflow along with its key capabilities. You learn case management concepts, architecture, and the benefits of using IBM Business Automation Workflow on Cloud.

You also learn how to manage cases in the BAW Case Client. The course ends with building your first case solution and deploying it.

In this course, you will learn about generative AI solutions and deploying them on IBM Cloud. Additionally, you will learn about watsonx services and applications on IBM Cloud.

This course provides technical professionals with the needed skills to install IBM Cloud Pak for Business Automation capabilities. The course begins with an introduction to IBM Cloud Pak for Business Automation. You learn about different installation methods. You configure the custom resource (CR) file for Business Automation Navigator (BAN), deploy, and verify that all the prerequisites are configured correctly. You learn how to deploy  Cloud Pak for Business Automation capabilities such as FileNet Content Manager, Business Automation Studio, Business Automation Workflow, Operational Decision Manager, and Business Automation Insights. For each of the  Cloud Pak for Business Automation capabilities, you verify the associated end points.

This course guides you through the most important administration activities that are related to the Cloud Pak for Data environment.  You will recall the infrastructure of a Red Hat OpenShift cluster where Cloud Pak for Data runs, and you will learn how to manage this cluster. You will learn about multitenancy, tethered projects, the Cloud Pak for Data installation procedure, and prerequisites for various Cloud Pak for Data installation scenarios. A significant part of this course refers to tasks that an administrator must complete, including setting up an LDAP connection for user and group management, defining resource quotas and limits, and scaling services.

This course provides technical professionals with the needed skills to install IBM Cloud Pak for Integration. Cloud Pak for Integration consists of several different parts, including the Cloud Pak for Integration operator and the Platform UI instance, which acts as the integration console for the integration capabilities. Each integration capability consists of an operator and one or more integration instances.
The course begins with an introduction to IBM Cloud Paks, Cloud Pak for Integration, its architecture, Docker, containers, Kubernetes, and Red Hat OpenShift console. You explore the Red Hat OpenShift Container Platform environment. You learn how to install the IBM Cloud Pak for Integration operator and a Platform UI instance. You access the Platform UI dashboard and examine some features. You install other integration capability operators and deploy capabilities as operator instances. For each of the integration capabilities, you verify the associated pods, storage, and some of their features.
For information about other related courses, see the IBM TechXchange Training website.

This course provides a high-level overview of the IBM Cognos Analytics Data Module tool and its underlying architecture to provide learners with the skills necessary to master data modeling using the web-based, self-service capabilities of IBM Cognos Analytics Data Modules. Learners will explore the essential steps in building data modules, from understanding the purpose and workflow of data modeling to creating, refining, and optimizing data structures. The course covers various topics, including managing relationships, advanced features and performance optimization, data enrichment with calculations and filters, creating groups and navigation paths, and managing data security.

Learners will gain hands-on experience through exercises that enhance their ability to create and customize data modules, review and modify column properties, creating calculations, filters and data groups, and adding column dependencies. These hands on activities ensure learners practice consistency and usability for reporting, dashboarding, and exploration purposes.

By the end of this course, learners should be proficient in developing data modules that integrate multiple data sources, support business analysis, and facilitate informed decision-making within the IBM Cognos environment.

This course includes PDF course guide, as well as an eLab where students can work through demonstrations and exercises at their own pace.

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 includes PDF course guide, as well as an eLab where students can work through demonstrations and exercises at their own pace.

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 offering covers the fundamental concepts of installing and configuring IBM Cognos Analytics, and administering servers and content, in a distributed environment. In the course, participants will identify requirements for the installation and configuration of a distributed IBM Cognos Analytics software environment, implement security in the environment, and manage the server components. Students will also monitor and schedule tasks, create data sources, and manage and deploy content in the portal and IBM Cognos Administration.

This course includes PDF course guide, as well as an eLab where students can work through demonstrations and exercises at their own pace.

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

IBM Instana helps in managing application performance in real-time and maximizing uptime with automated full-stack observability. This course provides information about the architecture and functionality of IBM Instana to help you understand the value proposition in addition to learning essential user interface techniques, creating application perspectives, and how to use dashboards to monitor the services. In addition, this course teaches about distributed tracing and the AutoTrace feature that helps in quickly tracing issues down to the root cause. 

This course offers solution architects more experience with IBM Knowledge Catalog for IBM Cloud Pak for Data. You learn to tune and customize governance workflows and artifacts to enhance data protection, quality, and findability. You gain skills in enriching metadata, building data quality rules, customizing asset properties, and governing virtual data.

This course offers solution architects, data stewards, and data quality analysts more experience with IBM Knowledge Catalog for IBM Cloud Pak for Data. You learn to tune and customize governance workflows and artifacts to enhance the quality, findability, and protection of data. You gain skills in enriching metadata, building data quality rules, customizing asset properties, and configuring reports and dashboards.

Are you looking to unlock your team's ability to work with Manta standalone?
This course explores Manta's user interface fundamentals and principal features that are most relevant to End Users.

• Learn how to get started with Manta's user interface (UI), repository, and visualization parameters.
• Discover how data objects are represented in Manta, and how to navigate, filter, customize, and export lineage.
• Gain a better understanding of transformation expressions and find out how to leverage Manta revisions and the revisions comparison functionality.

Duration: Approx. 4 hours.

In this self-paced course with hands-on exercises, you will take on the pivotal role of an administrator of IBM OpenPages, an integrated environment designed to manage governance, risk, and compliance (GRC) challenges across the enterprise. Here, you will learn how to perform administrative tasks within the IBM OpenPages platform, such as configuring users, profiles, roles, object types, fields, views, security, and workflows. This course also provides an opportunity to practically implement these tasks in a typical business scenario for an administrator's role. For the hands-on exercises, you will have access to a lab environment equipped with IBM Cloud Pak for Data and a pre-installed OpenPages 9.0 version, ensuring an immersive learning experience free from installation concerns.

Prerequisites:

OR

This course teaches IBM OpenPages GRC Platform administrators how to create and use Questionnaires, about configuring profiles, security rules, adding object types, field groups and definitions, custom security and configuring and maintaining reporting functions.

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This course is designed to teach analysts how to use IBM Planning Analytics to analyze data to discover trends and exceptions, create and customize reports and templates, and contribute data to plans. 

Through a series of lectures and hands-on activities, you will learn how use Planning Analytics Workspace and Planning Analytics for Microsoft Excel to create analyses, enter data, create custom views and dashboards, and build formatted reports and forms.

This course includes PDF course guide, as well as an eLab where students can work through demonstrations and exercises at their own pace.

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

QRadar SIEM provides deep visibility into network, user, and application activity. It provides collection, normalization, correlation, and secure storage of events, flows, assets, and vulnerabilities. Suspected attacks and policy breaches are highlighted as offenses.

This self-paced 2-day course walks you through various advanced topics about QRadar such as custom log sources, reference data collections and custom rules, X-Force data and the Threat Intelligence app, UBA and QRadar Advisor, tuning and custom action scripts. The course also discusses integration with IBM SOAR. Hands-on exercises reinforce the skills learned.

Intended Audience

This course is tailored for students involved in security incident response.

Prerequisites:  
Before taking this course, make sure that you have acquired experience in the following areas:

• IT infrastructure
• IT security fundamentals
• Linux
• Windows
• TCP/IP networking
• Syslog
• Foundational skills for the IBM QRadar Security Intelligence Platform (at least the skills that are taught in the IBM QRadar SIEM Foundations - BQ105 course)

This course includes PDF course guide, as well as an eLab where students can work through demonstrations and exercises at their own pace.

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

IBM® Tivoli® Monitoring products monitor the performance and availability of distributed operating systems and applications. This two-day course provides the skills necessary to administer IBM Tivoli Monitoring and the Tivoli Enterprise Portal. The Tivoli Enterprise Portal is used by IBM Tivoli Monitoring, IBM Tivoli Composite Application Manager, and OMEGAMON XE and DE to manage your enterprise environment. In this course, you learn about creating queries, links, situations (enterprise and private), autonomous agents, policies, agentless monitoring, and event integration with Netcool®/OMNIbus and Tivoli Enterprise Console. This training class is provided in a self-paced environment with multiple opportunities for hands-on lab practice. The scenarios used in this class are based on IBM Tivoli Monitoring version 6.3.

This intermediate-level course explains the IBM Turbonomic approach and capabilities to assure application performance and manage the entire application stack. In this hands-on course, students learn how to configure IBM Turbonomic instance, add targets as well as create automation, placement, and parking policies to align with business goals. Learn how to run plans for capacity management as well as access reports to show the business value of Turbonomic actions.

This course teaches the foundational concepts of the IBM Turbonomic platform and the importance of having a common abstraction. Topics include but are not limited to, navigating the user interface, taking actions and examining action details, running plan scenarios, understanding various reporting options, and generating reports. 

This course offers a comprehensive exploration of IBM AutoAI, focusing on its practical application in developing and deploying various machine learning models. Participants will start with an overview of AutoAI and its significance in the machine learning field, followed by a deep dive into its core features and requirements. The course covers building and deploying classification, regression, text classification, and time series models using AutoAI, equipping learners with the necessary skills to manage and evaluate these models effectively. By the end, participants will be well-prepared to use AutoAI for a wide range of machine learning tasks.

This course provides Solution Architects with the tasks necessary to integrate watsonx.data and IBM Knowledge Catalog for IBM Cloud Pak for Data. This course is designed to build upon watsonx.data intermediate courses and goes into more depth in the data governance area of watsonx.data, which allows all data to be governed within a centralized data governance product. You will learn and apply skills in creating catalogs, populating them with assets, and through the integration of watsonx.data and IBM Knowledge Catalog, how to govern assets through an integrated governance framework.

This course introduces the learner to the concept of governing generative AI models using the watsonx.governance solution. The learner will advance through the entire lifecycle of a generative model, from identifying the use case to development, testing, and deployment. The learner will get hands-on experience with the deployment and evaluation tools, and see how watsonx.governance generates and tracks relevant data across the entire lifecycle to ensure the model is functioning properly and meeting all relevant standards and regulations.

This course includes PDF course guide, as well as an eLab where students can work through demonstrations and exercises at their own pace.

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

Already using a unified endpoint management solution but looking to strengthen your security posture for admins, users, and devices? This course explores how MaaS360 integrates with IBM and third-party security tools to enhance your organization's security lifecycle.

You'll learn how to:

• Synchronize directories using Microsoft Entra ID to automatically import users and groups into MaaS360.
• Simplify admin access with IBM Security Verify, enabling SAML-based authentication to reduce password fatigue.
• Implement conditional access to ensure only trusted users on compliant devices can access Microsoft-approved apps like Outlook.
• Monitor threats by integrating MaaS360 with QRadar SIEM, allowing you to detect anomalies such as malicious emails and policy violations.
• Enhance mobile security using Mobile Threat Defense, protecting both corporate and personal devices from emerging threats.

Whether you're optimizing an existing deployment or planning new integrations, this course equips you with practical skills to elevate your endpoint security strategy.

This learning offering tells a comprehensive story of Cloud Pak for Data, and how you can extend the functions with services and integrations. You explore some of the services, and see how they enable effective collaboration across an organization. In this course, you use IBM Knowledge Catalog, Watson Query, Db2 Warehouse, Watson Studio (including Data Refinery and AutoAI), Watson Machine Learning and AI Factsheets. You also examine some of the industry accelerators that are available on the platform.

In this course, we will look at how Preventive Maintenance is configured in Maximo Application Suite - Manage including the creation of time and meter based Preventive Maintenance schedules, Master PMs, PM Hierarchies and PM Forecasting.  After learning about these concepts, practice what you have learned by doing the hands-on lab exercises.

Skill level: Intermediate
Duration: 5.5 hours
Audience: Implementation Consultants, Administrators, Technical Sales, System Users, Product Support
Badge Awarded: Yes

This courses focuses on some of the more advanced features of Work Management in Maximo Manage including Reliability Strategies, Work Order Intelligence, Dynamic Job Plans and process flow control. This course contains lectures, demonstrations and hands-on labs as well as an end of course quiz which you should pass in order to receive the course badge.

In this course, you will learn how work is managed in Maximo Application Suite (MAS) Manage including the overall Work Order process and lifecycle, creation of Job Plans as well as Work Orders. You will also see how failure data can be entered, work is assigned, and labor and material reported against work. After learning about these concepts, practice what you have learned by doing the hands-on lab exercises.
This course is suitable for end users.

In this course, you will learn how to efficiently manage laborers using core Maximo Scheduler applications – Graphical Assignment and Crew Management. You will learn how to prepare data for scheduling activities and how to assign work, and how to manage and modify your resource availability and assignment using the Graphical Assignment application. Additionally, you will explore the Graphical Crew Management application to visualize crew and laborer availability, and book appointment based on the requirements of work.

This course includes hands-on labs walking you through scheduling data, adjusting resource availability, assigning work or tasks, and booking appointments for the work using the Graphical Assignment, Graphical Crew Management, and Graphical Appointment Book applications.

This course provides participants with a high level overview of the IBM Cognos Analytics suite of products and their underlying architecture. They will examine each component as it relates to an Analytics solution. Participants will be shown a range of resources to provide additional information on each product.

This course includes PDF course guide, as well as an eLab where students can work through demonstrations and exercises at their own pace.

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

When deploying IBM Security® QRadar® EDR into production, you must configure important details, such as notifications, alerts, and policies. After QRadar EDR is deployed successfully, you must set up your users, groups, and clients, configure your Hive-Cloud score, and define how to handle downloaded and quarantined files from endpoints. Another important maintenance task revolves around monitoring audit logs. 

This course applies to version 3.12 of the on-premises QRadar EDR offering.

Intended audience

This course is tailored for IT security analysts in a Security Operations Center environment who are tasked with endpoint protection and threat hunting, as well as QRadar EDR administrators.

Prerequisites:

• QRadar EDR: Getting started course
• QRadar EDR: Protecting your endpoints course

Duration: 2 hours

In this course, you gain hands-on experience with the IBM Security® QRadar® EDR user interface with a focus on threat hunting, learn how to investigate threats on your endpoints, and manage your endpoints to stay secured and up-to-date. You also observe a detailed demonstration about how to detect malware attacks, and how to remediate these threats. 

This course applies to version 3.12 of the on-premises QRadar EDR offering as well as the April 2024 SaaS-based offering.

Intended audience

This course is tailored for IT security analysts in a Security Operations Center environment who are tasked with endpoint protection and threat hunting.

Prerequisites:

• QRadar EDR: Getting started course

Duration: 2.5 hours

Get hands-on experience with the SOAR interface, focusing on the case management customization and the Breach Response module. Integrate the SOAR platform with an email system for user and case management.

This course is designed and built on a QRadar SOAR stand-alone virtual machine (v50.1.54) with a complementary SOAR App Host (v1.14.1).

However, the concepts that the course covers apply to all on-premises or SaaS versions of QRadar SOAR.

Intended Audience

This course is tailored for students involved in the security incident response, offering them a comprehensive understanding of the IBM SOAR platform and its concepts. It provides hands-on access to the QRadar SOAR platform, guides you through the management and customization of incident cases, and demonstrates the integration with the email system. 

Prerequisites:  QRadar SOAR Getting Started course

Duration: 4 hours

Gain hands-on experience with the SOAR playbooks and learn how to integrate with IBM and third-party solutions using app integrations.

This course is designed and built on a QRadar SOAR stand-alone virtual machine (v50.1.54) with a complementary SOAR App Host (v1.14.1). However, the concepts that the course covers apply to all on-premises or SaaS versions of QRadar SOAR.

Intended Audience

This course is tailored for students involved in the security incident response, offering them a comprehensive understanding of the IBM SOAR platform and its concepts. It provides hands-on access to the QRadar SOAR platform, guides you through the management and customization of playbooks, and demonstrates the integration with Apps from X-Force Exchange App Exchange.

Prerequisites:  

• QRadar SOAR Getting Started course
• QRadar SOAR: Case Management and Email Integration course

Duration:  3.5 hours

This course is a continuation of Robotic Process Automation 23.0.x: Fundamentals of Task Automation (WB506 / ZB506). You learn strategies for handling bot fragility and error handling. You work with email processing to read, process, and send emails. You also learn how to work with published scripts to create attended and unattended bots.
Before starting this course, you should complete Robotic Process Automation 23.0.x: Fundamentals of Task Automation.

In this course, you will learn how to perform short-term planning using core Maximo Graphical Scheduler applications. You will learn how to prepare your data for scheduling activities using Scheduler Data Manager and how to manage and modify your resource availability using Graphical Resource View. You will also learn how to use the Graphical Work Week application to schedule and assign work while you manage resources over a short period of time. This course includes hands-on labs walking you through the creation of base scheduling data, validating that data using Scheduler Data Manager as well and modifying your resource availability and assigning work.

Course 6F150G is a self-paced with labs course. This course introduces students to the Sterling B2B Integrator Map Editor and the Graphical Process Modeler. Students learn how to create maps and business processes and process data to trade with the trading partners. The course provides detailed information on the Sterling B2B Map Editor that is used to map the inbound and outbound business processes, and create and execute the business processes. The course also deals with the creation of envelopes and the adapters required for the process. The course is for Sterling B2B Integrator map developers, support, services, tester, and EDI end users.

The course starts with a high level overview of Sterling B2B Integrator. The course provides hands-on exercises for defining and compiling a map, creating business process, defining the envelopes for the business process for executing them, and obtaining acknowledgements for the outbound business process.

Audience

Sterling B2B Integrator map developers who are responsible for designing, developing, and troubleshooting the data maps.

Duration

18 hours

Prerequisites

Students should have a fundamental knowledge of Sterling B2B Integrator and Electronic Data Exchange (EDI) documents.

Objectives

After completing this course, students should be able to:

• Describe the Sterling B2B Integrator and Map Editor
• Navigate the Map Editor
• Create an Inbound 850, an Outbound 810, a system header, and an 856 Map
• Administer maps in Sterling B2B Integrator
• Create inbound and outbound business processes
• List various methods to view the business process results
• Create and analyze the acknowledgment maps
• Search for EDI documents and correlations

Course completion and badge requirements

1. Complete all of the required course elements (videos and exercises)
2. Take and pass the 25-question badge quiz

6F142G is a self-paced course with hands-on labs.

This self-paced course deep-dives into the Promising and Optimization capabilities of Sterling Intelligent Promising Standard and Sterling Intelligent Promising Premium editions. Learn about Safety Stock, Inventory segments, pre-purchase promising optimization, cost-based optimization, and post-purchase fulfillment optimization using practical use cases. The course involves conceptual information, a quiz, extensive hands-on lab exercises for the SIP Standard use cases, and a guided simulation for the SIP Premium use cases, discussed in the course. You must complete all of the required activities before you can take the quiz. After completing all mandatory activities and passing the quiz, you will receive the course certificate and badge.

Audience: Sterling Intelligent Promising Implementation Consultants, Administrators, and System Integrators.

Duration: 3.5 hours

The IBM Sterling Store Engagement Practice Environment encourages learners to explore the Store Engagement user interfaces (UI), perform store tasks and configurations pertaining to order fulfillment, inventory management, and customer service, create reference data, and experiment with the features of the out-of-the-box product.

The practice environment is a live environment where you can try out custom scenarios, test, and apply your product knowledge to address real-world business challenges.

The environment includes a few hands-on exercises to enable you to start using the practice environment. The step-by-step instructions in the exercises will help learners get comfortable with the Sterling Order Management and Sterling Store Engagement applications.

Course number: 6F134G

Modality: Self-paced with lab

Audience: Developers, implementers, business users, system administrators, and technical architects

Course length: 2 hours

Level: Intermediate

Prerequisites:

Before you take this course, you should complete some of the IBM Sterling Order Management and Sterling Store Engagement-based courses and be confident working with the application.

Objectives:

By the end of the course, learners should be able to:

• Perform backroom and batch pick.
• Perform pack orders and ship orders.
• Perform customer pickup.
• Perform order capture.
• Perform order modifications.

In this course, you will understand the fundamentals of space management and why it is a strategic imperative to large enterprises. You will also explore the concepts and configuration in TRIRIGA for how space classifications are created in building portfolios across floors and various types of space, as well as learn the details of space data, assessments, and space audits. Further, you will understand Perceptive Apps for stacking and move requests, and learn how to import CAD drawings and BIM models to TRIRIGA. You will also be introduced to new features in TRIRIGA for Dynamic Space Planning.

This course is designed to teach learners how to customize, operate, administer, and monitor IBM TRIRIGA reservations. In this course,  we will explore setting up reservations for conference rooms, workspaces, and equipment. We will also create reservation space groups, reservation policies, and perform record bulk updates. Lastly, we will take a look at creating reservations using Microsoft Exchange.

This course describes how IBM Turbonomic optimizes compute, storage, and PaaS services in the cloud for performance and cost efficiency. You gain an understanding of Turbonomic support for reserved instances, savings plans, and committed use discounts. This course takes you in-depth into how the Turbonomic platform interacts with the world's most broadly accepted public cloud technologies, such as AWS, Azure, and GCP. You also learn about the cost and feasibility of migrating core applications to the cloud for flexibility and scale.

This course provides a comprehensive introduction to IBM Verify Access, a scalable and centralized solution for user authentication and authorization. Explore how Verify Access simplifies identity and access management across web, mobile, IoT, and cloud technologies while maintaining robust security. The course examines both virtual appliance and containerized deployments. Additionally, it uses hands-on labs to guide learners through the installation and configuration of the Verify Access base platform in a containerized environment. 

This course applies to Verify Access version 10.0.8.0

In this course, you learn how to deploy IBM Verify Directory. You gain skills around deploying the software, deploying and using Virtual Directory Server, and deploying and using Federated Directory Server instead of replication.
This course also provides examples of LDAP commands for adding, modifying, and deleting users from the directory.
IBM Verify Directory is a scalable, standards-based identity directory that helps simplify identity and directory management. Verify Directory helps consolidate identity silos into a single identity source.

This course applies to Verify Directory version 10.0.2

Explore the capabilities of IBM Verify Identity Access through a course designed to support skill development in troubleshooting. Learners can engage with tools like visual diagnostics and log analysis just like technical teams often do while troubleshooting issues. The course introduces methods that may help streamline issue resolution across different deployment models. It also highlights IBM's support ecosystem, including forums and portals, as potential resources for staying informed.

This course covers how Verify can be adopted to protect and secure resources while serving as the unifying thread in a diverse identity fabric. The use cases originate from real-world engagements.

Watson Discovery: Intelligent Document Processing  will dive deeply into Intelligent Document Processing. You will learn how to create regular expressions, import rule-based models, customize query results, conduct web crawling, and teach the domain language to Watson Discovery to enhance the relevance and accuracy of your results.

Learn to effectively use the core capabilities of watsonx Assistant to plan, build, troubleshoot, and maintain a virtual assistant. 

This course provides an in-depth exploration of several key areas of watsonx Assistant, equipping students with the technical knowledge required to create advanced virtual assistants. 

This course introduces the learner to the concept of governing generative AI models using the watsonx.governance solution. The learner will advance through the entire lifecycle of a generative model, from identifying the use case to development, testing, and deployment. The learner will get hands-on experience with the deployment and evaluation tools, and see how watsonx.governance generates and tracks relevant data across the entire lifecycle to ensure the model is functioning properly and meeting all relevant standards and regulations.

This self-paced learning gives access to set of IBM webMethods API Management elective topics. Each elective covers a specific API Management topic on an advanced or more detailed level as done in the API Management CORE training course. Examples of covered topics are security, Advanced transformation or customizations. 

This self-paced learning provides an overview of key features of webMethods Integration on-premises offering. Short videos followed by demonstrations provide extended knowledge about typical Integration Developer tasks and supported tools (like Caches, Messaging or Java Services). 

This self-paced learning provides an overview of key features of webMethods B2B offering in the cloud. Short videos followed by demonstrations provide fundamental knowledge about setting up and managing business partners and channels, and exchanging business documents with the partners in your network to relay production information.