Cursos de 629

This course provides a high-level overview of the IBM Cognos Analytics v12 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 v12 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 v12 environment.

The focus of this course is on the tools and services available in IBM Cloud Pak for Data that can be used to build, test, and deploy machine learning models. It takes the Data Scientist or Business Analyst on a journey from the creation of several machine learning models to its deployment and testing. Various tools and services, as well as programming and graphical user interfaces, are used in the process. The course ends with the sharing of assets on GitHub, and a brief discussion on governance and stewardship.

This course takes you through applying IBM Watson Speech to Text and Text to Speech technology for your unique use case.An emerging trend in AI is the availability of technologies that add speech capabilities by enabling fast and accurate speech transcription in multiple languages. Use cases include customer self-service, agent assistance, and speech analytics. This course opens with explaining, at a high level, some common business use cases for Watson Speech Services and the underlying science behind the technology of Watson Speech to Text and Text to Speech. You leverage the API for calling speech services, customizing, and deploying speech prototypes to suit your unique domain language. The course concludes with you integrating voice capabilities into an existing Watson Assistant agent by using Watson Speech to Text and Text to Speech.

Gain knowledge on how to integrate QRadar SOAR and SIEM by installing the SOAR Plugin app on SIEM and analyze the SIEM offense in the SOAR QRadar Offense Details tab. Discover how to use playbooks to improve SIEM and SOAR integration. 

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, and Watson Studio (including Data Refinery and AutoAI). You also examine some of the industry accelerators that are available on the platform.