Workflow Management Schulungen finden - Das passende Seminar in Ihrer Nähe

- The advantages of local Generative AI for patent drafting
- Practice-oriented development of a workflow for the use of local AI models in the drafting process
- Automatic generation of patent descriptions with SLMs/LLMs based on patent claims
- Support and optimisation for the process of creating patent claims from invention disclosures using language models
- Use of generative AI for pre- and post-filing activities such as quality review, jurisdiction-specific adjustments, or prosecution
- Setting up a local Generative AI work environment

Overview

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.

Overview

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.

Overview

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.

Could your Machine Learning (ML) workflow use some DevOps agility? MLOps Engineering on AWS will help you bring DevOps-style practices into the building, training, and deployment of ML models.

Wenn Sie diese Color Management Schulung besucht haben, werden Sie routiniert mit Farbräumen, Farbprofilen etc. umgehen können. Dieses Wissen ist essentiell in der Welt der Mediengestaltung, um professionelle Ergebnisse erzielen zu können.

Affinity Publisher für Fortgeschrittene

Overview

This two-day 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.

Overview

In this advanced one-day course, you implement advanced routing and integrate your process application with external systems. You create a decision service, implement message events, apply asset tagging, and access and manipulate external data. You integrate your process application with a database and learn about exposed process variables (EPVs) and environment variables (ENVs). You develop a catch exception and implement error handling in a service. You add advanced routing capabilities to your process application by using team filter services and implement a 'four eyes' policy.

Overview

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.