Cursos de Red Hat

This course discusses the differences between AIX and Linux by comparing and contrasting the two operating systems. System administration is focus of this course, so typical tasks performed by a system administrator are covered. All comparisons are targeted towards the Red Hat Linux (RHEL) operating system (running on IBM Power servers). However, in many cases the concepts discussed here also apply to other Linux distributions (that run natively on IBM Power servers). This is a jumpstart for Linux class for experienced AIX admins. The material is not intended as a complete replacement or substitute for more comprehensive Linux technical training provided by IBM and Linux vendors. At the end of the course students will have learned the foundation of many Linux administration tasks, enabling them to start their journey with Linux system administration and expand their skills moving forward. Students are then encouraged to attend further training to deepen their native Linux system administration skills.

This 2-day instructor-led course helps the students to understand how to modify existing applications and create new ones in Maximo Manage. This also helps them gain a comprehensive understanding of the different types of applications available, their functionalities, and how to configure them effectively. This course covers various domain types in Maximo, including how to use and configure Lookups within the applications. The course will also revisit key concepts of Database Configuration, focusing on essential aspects required for application modification and creation. Additionally, the students will learn how to set up the environment, configure the properties, and manage the user access based on specific conditions, and will delve into the use of Signature Options and User Information to enhance application functionality. Through a combination of procedural information, demonstrations, and exercises, students will learn about topics such as Domains, Database Configuration, Application export and import, and Application Designer along with hands-on lab exercises using your own Red Hat OpenShift Maximo Manage environment.

The goal of this course is to provide the student with a tangible understanding and a real hands-on experience with generative AI applications deployed and optimized for IBM Power systems. This self-paced virtual course uses video lectures, review questions, and virtual lab machine exercises to provide the student with foundational knowledge and experience about the topics covered in the course. In the lecture, the student begins by learning the basics of generative AI, and the basic components of a generative AI application, then applies these concepts to real-world examples on Power where the student learns Power offerings for AI workloads, package management fundamentals in Python, Operating System deployment strategies on Power, and Power hardware use cases. The lab exercises will start with viewing and manipulating files in a basic AI application running on IBM Power Red Hat Enterprise Linux. They will have hands-on experience identifying the components of that AI application and their connection to other components, and will add functionalities to the application that demonstrate more advanced AI application techniques like frameworks, prompt tuning, and conversation memory. Then, the students will go through the process of setting up a Python virtual environment, investigating Power hardware resources, and using the Hardware Management Console (HMC) to ensure memory and other resources are optimized for AI workloads. 

This course provides technical professionals with the needed skills to do the IBM Cloud Pak for Integration administration and troubleshooting tasks.The course begins with an introduction to IBM Cloud Pak for Integration. You explore the Red Hat OpenShift Container Platform environment. You manage dashboard security for Cloud Pak Integration. You configure an external LDAP server (OpenLDAP) and add LDAP users to the Cloud Pak environment. You explore the Red Hat OpenShift Container Platform (RHOCP) web console for container management such as Roles, Topology, Cluster Inventory, Alerts, Events, CPU, and Memory. You perform basic administration tasks in the RHOCP web console. You examine the available open-source monitoring options such as Metrics, Alerts, and Dashboards. You also scale the application deployment by using OpenLDAP as an example.You examine the logs for pods by running commands and in the RHOCP console. To troubleshoot common Cloud Pak cluster problems, you get information and logs for nodes, cluster, and pods. You learn how to troubleshoot the Container Engine and the pods that fail to start. You set different log levels for Red Hat OpenShift, check the routes, and understand troubleshooting for installation. You learn how to collect MustGather files for submitting it to IBM Support team for troubleshooting.You upgrade the Integration capabilities and runtimes and Platform Navigator. You also learn also how to remove the Integration capabilities and runtimes.

This advanced-level course teaches how IBM Turbonomic's patented analysis engine delivers visibility, control, and optimization across the entire application stack to assure the performance of running micro-services in Kubernetes and Red Hat OpenShift, as well as the efficiency of the underlying infrastructure. This course explains how Turbonomic discovers container platform clusters and connects data from APM targets, such as Instana, for full-stack visualization. The course teaches how Turbonomic assures performance and maximizes efficiency throughout the stack by intelligently scaling the container cluster to provision and suspend nodes based on application resource demand. Learners will understand how Turbonomic uniquely solves the problem of resource fragmentation and avoids performance bottlenecks by intelligently moving container pods to manage the fluctuating demand. Turbonomic provides dynamic cluster scaling as well as horizontal scaling to meet SLO demands. This course includes common troubleshooting techniques for KubeTurbo, container platform planning, dashboards, and SaaS reporting. 

This advanced-level course teaches how IBM Turbonomic's patented analysis engine delivers visibility, control, and optimization across the entire application stack to assure the performance of running micro-services in Kubernetes and Red Hat OpenShift, as well as the efficiency of the underlying infrastructure. This course explains how Turbonomic discovers container platform clusters and connects data from APM targets, such as, Instana, for full-stack visualization. The course teaches how Turbonomic assures performance and maximizes efficiency throughout the stack by intelligently scaling the container cluster to provision and suspend nodes based on application resource demand. Learners will understand how Turbonomic uniquely solves the problem of resource fragmentation and avoids performance bottlenecks by intelligently moving container pods to manage the fluctuating demand. Turbonomic provides dynamic cluster scaling as well as horizontal scaling to meet SLO demands. This course includes common troubleshooting techniques for KubeTurbo, container platform planning, dashboards, and SaaS reporting. 

This course provides technical professionals with the needed skills to administer IBM Cloud Pak for Business Automation. The course begins with an introduction to IBM Cloud Pak for Business Automation (CP4BA). You manage platform security for CP4BA and work with Business Teams. You explore the Red Hat OpenShift Container Platform (RHOCP) web console for container management such as Cluster Inventory, Events, CPU, and Memory. You examine the available observe options such as Metrics, Alerts, and Dashboards. You scale the application deployment. You customize the Cloud Pak Platform UI. To troubleshoot common Cloud Pak cluster problems, you get logs for nodes, cluster, and pods. You view the logs for pods by running commands and examine the logs in the RHOCP console. You learn how to troubleshoot the Container Engine and the pods that fail to start. The course concludes with the collection of MustGather files to submit it to the IBM Support team for troubleshooting. 

This course teaches students how to transform traditional (monolithic) WebSphere applications to run in a containerized environment–Red Hat OpenShift–by using WebSphere Hybrid Edition. It covers two key reference implementations: Operational Modernization: Repackage the application to deploy in a container while maintaining the monolithic architecture. This solution does not require changes to the application or runtime. It uses Transformation Advisor (part of WebSphere Hybrid Edition) to assess the application, and the Runtime Operator to manage the containerized application on Red Hat OpenShift. Runtime Modernization: Update the application to run on Open Liberty, a modern cloud-native runtime. Modernize some aspects of the application by taking advantage of MicroProfile specifications. This solution uses Transformation Advisor (part of WebSphere Hybrid Edition), and the Open Liberty Operator to deploy and manage the modernized application on Red Hat OpenShift.

This course provides technical professionals with the needed skills to administer IBM Cloud Pak for Business Automation. The course begins with an introduction to IBM Cloud Pak for Business Automation (CP4BA). You manage platform security for CP4BA and work with Business Teams. You explore the Red Hat OpenShift Container Platform (RHOCP) web console for container management such as Cluster Inventory, Events, CPU, and Memory. You examine the available observe options such as Metrics, Alerts, and Dashboards. You scale the application deployment. You customize the Cloud Pak Platform UI. To troubleshoot common Cloud Pak cluster problems, you get logs for nodes, cluster, and pods. You view the logs for pods by running commands and examine the logs in the RHOCP console. You learn how to troubleshoot the Container Engine and the pods that fail to start. The course concludes with the collection of MustGather files to submit it to the IBM Support team for troubleshooting. 

This course teaches students how to transform traditional (monolithic) WebSphere applications to run in a containerized environment–Red Hat OpenShift–by using WebSphere Hybrid Edition. It covers two key reference implementations: Operational Modernization: Repackage the application to deploy in a container while maintaining the monolithic architecture. This solution does not require changes to the application or runtime. It uses Transformation Advisor (part of WebSphere Hybrid Edition) to assess the application, and the Runtime Operator to manage the containerized application on Red Hat OpenShift. Runtime Modernization: Update the application to run on Open Liberty, a modern cloud-native runtime. Modernize some aspects of the application by taking advantage of MicroProfile specifications. This solution uses Transformation Advisor (part of WebSphere Hybrid Edition), and the Open Liberty Operator to deploy and manage the modernized application on Red Hat OpenShift.

Learn to efficiently manage Ansible on an IBM Power environment. You’ll be introduced to the world of automation through hands-on curriculum developed by IBM experts and thought leaders. The material covers a deep-dive of Ansible on IBM Power, IBM PowerVC, IBM Power collections, automating deployment of modern web applications and more. You will work on our IBM Power servers located in Poughkeepsie, New York. Upon completion of this course, you will earn an IBM digital badge that recognizes your skills in this area. This course covers Ansible on IBM AIX and Red Hat Enterprise Linux. IBM i users may be interested in AS45G: DevOps on IBM i: Learn Ansible.

This 2-day instructor-led course provides students with an understanding of how to perform scheduling and planning using core Maximo Scheduler applications. You will learn how to prepare your data for scheduling activities. You will then learn how to assign work and manage labor using the Graphical Assignment application and how to manage and modify your resource availability using Graphical Crew Management. You will also learn how to use the Appointment Book Manager and Graphical Appointment Book applications to configure and schedule an appointment over a short period of time.Through a combination of procedural information, demonstrations, and exercises, students will learn about topics such as Calendar and Shift creation, Crew Types and Crews configuration as well as use of the Graphical Assignment, Graphical Crew Management, Appointment Book Manager, and Graphical Appointment Book applications. This course includes hands-on lab exercises using your own Red Hat OpenShift Maximo Manage environment.

In this 1-day instructor led course the students will learn about automation scripting in Maximo, including how automation scripts can be used to extend functionality using code written in Python or JavaScript. This includes learning about launch points, variables and Maximo business objects in Maximo and how to use them and write scripts and run them with different launch points. Along with a combination of procedural information and demonstrations, this course also has hands-on lab exercises using a Red Hat OpenShift Maximo Manage environment for you to try out.

In this course, you will learn about automation scripting in Maximo, including how automation scripts can be used to extend functionality using code written in Python or JavaScript. This includes learning about launch points, variables and Maximo business objects in Maximo and how to use them and write scripts and run them with different launch points.Along with a combination of procedural information and demonstrations, this course also has hands-on lab exercises using a Red Hat OpenShift Maximo Manage environment for you to try out.

This course provides students with an understanding of how to create new users in Maximo Manage and manage labor, crafts, and calendar records through specialized applications. We will also use conditional expressions and control properties to implement conditional security.  There is also hands-on lab exercises using a Red Hat OpenShift MAS Manage environment.

This instructor led course provides students with an understanding of how to create a new Organization and Site in Maximo Manage and discuss the core options available in the Organizations application. They will also be able to create classifications and Location records. Students will learn about topics such as Multi-Organization strategy, GL Account setup and Organization Options. This course also has hands-on lab exercises using a Red Hat OpenShift Maximo Manage environment.

This course provides students with an understanding of how purchasing and contracts are managed in MAS Manage including the overall Procurement process and lifecycle, creation of Purchase Orders, Purchase Requests, Invoices, RFQs and contracts. Students will learn about Purchasing and Contracts Applications that enable items to be ordered from vendors, and Purchase Order creation and Invoice Reversal. There is also hands-on lab exercises using a Red Hat OpenShift MAS Manage environment.

This 2-day instructor led course provides students with an understanding of 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. Students will learn about topics such as Repair Facilities and Job Plan Sequencing. This course also has hands-on lab exercises using a Red Hat OpenShift Maximo Manage environment.

This course offers data engineers more experience with watsonx.data on Red Hat OpenShift Container Platform. You gain knowledge in areas such as user and group management, access controls within watsonx.data, integrating IBM Knowledge Catalog with watsonx.data, and what the integration with IBM Knowledge Catalog provides. You gain skills in access control, IBM Knowledge Catalog policies, and how to manage watsonx.data after integration with IBM Knowledge Catalog is in place. The course is designed to build upon the watsonx.data intermediate course and goes into more depth in the data governance area of watsonx.data. Integration between watsonx.data and IBM Knowledge Catalog allows you to manage data within the Data Lakehouse and other data sources with a single data governance product. This integration ensures that all data is governed within a centralized data governance product.

This course offers data engineers more experience with watsonx.data on Red Hat OpenShift Container Platform. You learn to gain knowledge in the areas such as infrastructure management, data management, running SQL statements. You gain skills in ingesting data, creating schemas, running queries that combines data from multiple data sources, and rolling back a table to previous point in time. 

Installing IBM Cloud Pak for Data on-premises for the first time can be a daunting task. This course aims to demystify and streamline that process for learners new to the Cloud Pak for Data ecosystem. This course follows Emily, a Cloud Pak for Data administrator. Emily is assigned to install the Cloud Pak for Data platform on a Red Hat OpenShift Container Platform cluster that has been provisioned to her by the Red Hat OpenShift administrator. Emily is new in the world of Cloud Pak for Data and has never done this before. Throughout this course, Emily plans out the installation of IBM Cloud Pak for Data and additional services, prepares the cluster, and installs the IBM Cloud Pak for Data platform. Later, Emily also upgrades IBM Cloud Pak for Data 4.8.x to a newer version. Together with Emily, you learn step-by-step how to perform each task in this course. Ultimately, you also verify your newly acquired knowledge in a series of hands-on exercises performed in a custom-made course lab environment as well as in a final assessment. 

This course offers data engineers more experience with watsonx.data on Red Hat OpenShift Container Platform. You gain knowledge in areas such as user and group management, access controls within watsonx.data, integrating IBM Knowledge Catalog with watsonx.data, and what the integration with IBM Knowledge Catalog provides. You gain skills in access control, IBM Knowledge Catalog policies, and how to manage watsonx.data after integration with IBM Knowledge Catalog is in place. The course is designed to build upon the watsonx.data intermediate course and goes into more depth in the data governance area of watsonx.data. Integration between watsonx.data and IBM Knowledge Catalog allows you to manage data within the Data Lakehouse and other data sources with a single data governance product. This integration ensures that all data is governed within a centralized data governance product.

This course offers data engineers more experience with watsonx.data on Red Hat OpenShift Container Platform. You learn to gain knowledge in the areas such as infrastructure management, data management, running SQL statements. You gain skills in ingesting data, creating schemas, running queries that combines data from multiple data sources, and rolling back a table to previous point in time. 

Installing IBM Cloud Pak for Data on-premises for the first time can be a daunting task. This course aims to demystify and streamline that process for learners new to the Cloud Pak for Data ecosystem. This course follows Emily, a Cloud Pak for Data administrator. Emily is assigned to install the Cloud Pak for Data platform on a Red Hat OpenShift Container Platform cluster that has been provisioned to her by the Red Hat OpenShift administrator. Emily is new in the world of Cloud Pak for Data and has never done this before. Throughout this course, Emily plans out the installation of IBM Cloud Pak for Data and additional services, prepares the cluster, and installs the IBM Cloud Pak for Data platform. Later, Emily also upgrades IBM Cloud Pak for Data 4.8.x to a newer version. Together with Emily, you learn step-by-step how to perform each task in this course. Ultimately, you also verify your newly acquired knowledge in a series of hands-on exercises performed in a custom-made course lab environment as well as in a final assessment. 

This course introduces the system programmer to the tasks required to support a z/VM operating system. It gives an overview of the processes that are required to install z/VM, and to do the required tailoring steps to support guest operating system virtual machines and CMS users. The students will leave the course with the knowledge to do the steps for adding guest systems and other virtual machines to the z/VM system, to apply service to the z/VM system, and to define a minimal TCP/IP configuration. Also, this course is designed to teach the implementation of SUSE, RedHat, and Ubuntu distributions of Linux on IBM Z and on LinuxONE.

This course provides technical professionals with the needed skills to do the IBM Cloud Pak for Integration administration and troubleshooting tasks.The course begins with an introduction to IBM Cloud Pak for Integration. You explore the Red Hat OpenShift Container Platform environment. You manage dashboard security for Cloud Pak Integration. You configure an external LDAP server (OpenLDAP) and add LDAP users to the Cloud Pak environment. You explore the Red Hat OpenShift Container Platform (RHOCP) web console for container management such as Roles, Topology, Cluster Inventory, Alerts, Events, CPU, and Memory. You perform basic administration tasks in the RHOCP web console. You examine the available open-source monitoring options such as Metrics, Alerts, and Dashboards. You also scale the application deployment by using OpenLDAP as an example.You examine the logs for pods by running commands and in the RHOCP console. To troubleshoot common Cloud Pak cluster problems, you get information and logs for nodes, cluster, and pods. You learn how to troubleshoot the Container Engine and the pods that fail to start. You set different log levels for Red Hat OpenShift, check the routes, and understand troubleshooting for installation. You learn how to collect MustGather files for submitting it to IBM Support team for troubleshooting.You upgrade the Integration capabilities and runtimes and Platform Navigator. You also learn also how to remove the Integration capabilities and runtimes.

This course addresses Linux system administration tasks necessary to manage Red Hat Enterprise Linux specifically on an IBM Power Systems server.  The course covers the basics of the Power Systems architecture, virtualization of Power Systems servers, installation and management of Linux on Power Systems, and closes with an introduction to enabling the environment for inclusion in an on-premise private cloud using IBM PowerVC.