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 guides learners through the process of adopting IBM Verify in their organization. It covers the Verify architecture, integration with existing deployments, user import from existing sources, and strategies for migrating and securing legacy applications.
This course guides learners through the process of customizing IBM Verify in their organization. It first covers the branding options in Verify, For organizations leveraging IBM Verify, which allow organizations to extend their brand into the authentication and user self-care cycle. Branding is the process of creating a strong, positive perception of an organization and its products or services in the mind of their consumers. The second unit explains how to plan and create a user journey orchestration, which focuses on creating intuitive and engaging user experiences, covering requirements such as account creation and registration, application requests, data privacy and consent interaction, seamless login experience routing, profile recovery, and multi-factor authentication enrollment. An orchestrated user journey helps ensure that individuals are experiencing processes that align with organizational goals to deliver optimal business outcomes while making these processes intuitive and easy to navigate.
This course guides learners through the process of customizing IBM Verify in their organization. It first covers the branding options in Verify, For organizations leveraging IBM Verify, which allow organizations to extend their brand into the authentication and user self-care cycle. Branding is the process of creating a strong, positive perception of an organization and its products or services in the mind of their consumers.The second unit explains how to plan and create a user journey orchestration, which focuses on creating intuitive and engaging user experiences, covering requirements such as account creation and registration, application requests, data privacy and consent interaction, seamless login experience routing, profile recovery, and multi-factor authentication enrollment. An orchestrated user journey helps ensure that individuals are experiencing processes that align with organizational goals to deliver optimal business outcomes while making these processes intuitive and easy to navigate.
Voice technologies are rapidly reshaping how businesses interact with customers, automate operations, and analyze conversations. Today’s AI systems can deliver fast, accurate, and natural-sounding speech capabilities across multiple languages, supporting use cases such as customer self-service, live agent assistance, real-time analytics, and more.In this course, learners will explore how to apply IBM Watson Speech to Text and Watson Text to Speech to build voice-enabled solutions tailored to their unique business needs.By the end of the course, participants will have the skills to design, customize, and integrate AI-powered voice solutions that deliver seamless, human-like interactions across multiple platforms.
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.
In this course, students will learn to use scientific methods, processes, and algorithms to identify patterns, trends, and insights from data – with the goal of enabling better decision-making. Students will use watsonx.ai to synthesize skills from statistics, computer science, and management information systems to analyze and interpret complex datasets. This course includes a practical component with hands-on exercises focused on collecting, preparing, mining, and visualizing data and then building a machine learning and foundation model with methods on how to deploy them.
Voice technologies are rapidly reshaping how businesses interact with customers, automate operations, and analyze conversations. Today’s AI systems can deliver fast, accurate, and natural-sounding speech capabilities across multiple languages, supporting use cases such as customer self-service, live agent assistance, real-time analytics, and more.In this course, learners will explore how to apply IBM Watson Speech to Text and Watson Text to Speech to build voice-enabled solutions tailored to their unique business needs.By the end of the course, participants will have the skills to design, customize, and integrate AI-powered voice solutions that deliver seamless, human-like interactions across multiple platforms.
In this course, the learner is guided through a realistic scenario of administering and customizing the watsonx governance console for an organization wishing to govern the lifecycles of AI initiatives. The course includes user management, profile assignment and customization, modeling real-world organization structures in the governance console, identification of model risks and associated controls, customized risk assessment using questionnaires, and building specific workflows to manage AI use cases.
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.
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 Content 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 Content Navigator.
This course teaches you how to configure a newly built API Connect 10.0.08 environment. You are taught how to configure a catalog with the gateway, portal, and analytics services and set up the environment for API development. You then define API interfaces according to the OpenAPI specification. You build SOAP and REST based APIs along with a GraphQL API. You assemble message processing policies and define client authorization schemes, such as OAuth 2.0, in the API definition. You verify the proper sequencing of policies in the assembly tester and further test your APIs in the new Test tab and Local Test Environment. After building and testing your APIs, you publish them and make them available on the Developer Portal. You manage all aspects of the provider organization in the API Manager user interface to create, publish, version, and retire API artifacts such as products, plans and APIs themselves. You also learn how to manage consumer organizations who use the APIs that are made available on the Developer Portal. You learn how to add members to the consumer organization that provides access to the APIs on the Developer Portal. You learn how the layout of the Developer Portal can be customized. Finally, you call the APIs on the secure gateway and you view the graphs and metrics of API usage.
This course introduces developers to IBM Robotic Process Automation 23.0.x. You learn the skills that are needed to implement task automation by developing bots. Through hands-on exercises, you become familiar with IBM RPA environment, including RPA Studio and RPA Portal. You work with flow control, conditional logic, and file management commands. You learn how to automate browser interaction, and capture and process information from spreadsheets.
This course provides technical professionals with the needed skills to build and configure an object store. It teaches you how to work with an IBM FileNet Content Manager repository within an IBM Cloud Pak for Business Automation OpenShift environment. In this course, you will create an object store in the Administration Console for Content Platform Engine and configure it in the Business Automation Navigator administration desktop to make the repository accessible to business users. You learn how to create storage areas and storage policies to store the repository content. You define choice lists and property templates to use it for the object classes metadata. You define custom Document classes and Folder classes to organize documents. You create events and subscriptions to initiate your custom code or actions that are invoked when you create or modify the repository objects.
Learn how to install, update, configure, monitor and troubleshoot the important components of the webMethods Integration platform. The course is designed to enable a participant to undertake both one-time and day to day administrative duties, from development to production.
Dynamic routing is an Intelligent Management feature that enables routing of HTTP requests to members of Liberty collectives without regenerating the WebSphere plug-in configuration file when the environment changes. In this course, you create a Liberty collective, and then you configure the dynamic routing feature of Liberty for the collective. You also configure the HTTP Server and plug-in, and then test the dynamic routing feature to handle incoming requests to Liberty servers based on availability.
This course provides technical professionals with the needed skills to build and configure an object store. It teaches you how to work with an IBM FileNet Content Manager repository within an IBM Cloud Pak for Business Automation OpenShift environment. In this course, you will create an object store in the Administration Console for Content Platform Engine and configure it in the Business Automation Navigator administration desktop to make the repository accessible to business users. You learn how to create storage areas and storage policies to store the repository content. You define choice lists and property templates to use it for the object classes metadata. You define custom Document classes and Folder classes to organize documents. You create events and subscriptions to initiate your custom code or actions that are invoked when you create or modify the repository objects.
This course provides technical professionals with the needed skills for the configuration and administration of an IBM FileNet Content Manager 5.6.x system. It teaches you how to work with an IBM FileNet Content Manager repository within an IBM Cloud Pak for Business Automation OpenShift environment. In this course, you will configure logging, auditing, security, bulk processing, and use the sweep framework.