07 Sep 2021

IBM Spectrum Protect 8.1.2 Implementation and Administration – TS616G CR, ILO

Short Summary


IBM Spectrum Protect 8.1.2 is a data backup and recovery solution designed to help you manage your data.

 

Details


Course Code: TS616G

Brand: Storage Software Technical Enablement

Category: Systems

Skill Level: Intermediate

Duration: 40.00H

Modality: CR,ILO

 

Audience


This lecture and exercise based course is for implementers and administrators who are new to IBM Spectrum Protect data management.

 

Prerequisites


Can you answer yes to these two statements?

  1. Experience navigating Windows 2012
  2. A basic understanding of concepts regarding client/server relationships

You may wish to take Introduction to Storage prior to this class.

o Introduction to Storage (SS01G) or

o Foundations of Storage (SS00DG) – (Web)

More information is available at www.ibm.com/training

 

Overview


IBM Spectrum Protect 8.1.2 is a data backup and recovery solution designed to help you manage your data retention, reduce the cost of storage, and provide appropriate recovery point objectives
to meet any service level agreement. IBM Spectrum Protect offers improved efficiency and flexibility using object – based data management and policy driven retention.

This five day course will focus on implementation and basic administration of a IBM Spectrum Protect environment. The hands – on lab exercises are performed on a Windows 2012
environment. The course materials include examples of AIX and Linux commands, when different from Windows.

Topic


o Day 1

Unit 1: Components and concepts lecture
Unit 1: Components and concepts exercise
Unit 2: Installation and configuration lecture
Unit 2: Installation and configuration exercise

o Day 2

Unit 3: Interfaces and monitoring lecture
Unit 3: Interfaces and monitoring exercise
Unit 4: Storage pools and devices lecture
Unit 4: Storage pools and devices exercise
Unit 5: Policy management, data movement, and exploration lecture

o Day 3

Unit 5: Policy management, data movement, and exploration exercise
Unit 6: Server database and storage pool management lecture
Unit 6: Server database and storage pool management exercise
Unit 7: Client configuration lecture

o Day 4

Unit 7: Client configuration exercise
Unit 8: Client data protection lecture
Unit 8: Client data protection exercise
Unit 9: Daily operations and maintenance lecture

o Day 5

Unit 9: Daily operations and maintenance exercise
Unit 10: Schedules and reports lecture
Unit 10: Schedules and reports exercise

 

Objectives


After completing this course, you should be able to:fter completing this course, you should be able to:

  • Describe the purpose of IBM Spectrum Protect
  • Install and configure the IBM Spectrum Protect components
  • Use the administrative and client interfaces
  • Discuss storage methodology options and create storage pool
  • Customize data movement and retention policies to meet business requirements
  • Configure the IBM Spectrum Protect database and storage pools for protection
  • Optimize client configuration
  • Perform backup, restore, archive and retrieve operations
  • Organize daily tasks required to protect the IBM Spectrum Protect environment
  • Automate and monitor client and administrative tasks and events
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07 Sep 2021

IBM Spectrum Protect 8.1.11 Advanced Administration, Tuning, and Troubleshooting – TS628G CR,ILO

Short Summary


IBM Spectrum Protect is a data backup and recovery solution designed to help you manage your data retention, reduce the cost of storage, and provide appropriate recovery point objectives.

 

Details


Course Code: TS628G

Brand: Storage Software Technical Enablement

Category: Systems

Skill Level: Advanced

Duration: 40.00H

Modality: CR,ILO

 

Audience


Implementers and administrators who have experience with IBM Spectrum Protect.

 

Prerequisites


You should be able to perform the following skills managing an IBM Spectrum Protect environment before taking this course:

  • Experience navigating Windows Server 2016 Standard.
  • IBM Spectrum Protect (or IBM Tivoli Storage Manager) hands-on experience
  • IBM Spectrum Protect 8.1.9, Implementation and Administration course (course code: TS618G) or equivalent skills
  • Explain the features of IBM Spectrum Protect.
  • Describe the concept of cloud storage.
  • Install IBM Spectrum Protect server, backup-archive client, and Operations Center.
  • Navigate the administrative interfaces.
  • Manage the IBM Spectrum Protect database and recovery log.
  • Create and manage storage pools and storage pool volumes.
  • Explain the concepts of attaching and preparing a media library.
  • Define a management policy to meet business requirements.
  • Configure and manage client options.
  • Backup, restore, archive, and retrieve client data.
  • Protect the IBM Spectrum Protect database and storage pools.
  • Schedule administrative tasks.
  • Monitor server and client messages and events.

 

Overview


IBM Spectrum Protect, formerly known as IBM Tivoli Storage Manager, is a data backup and recovery solution designed to help you manage your data retention, reduce the cost of storage, and provide appropriate recovery point objectives to meet any service level agreement. IBM Spectrum Protect offers improved efficiency and flexibility using object-based data management, policy-driven retention, and an easy to use interface, the Operations Center.

In this advanced-level course, you streamline your daily operations with the latest features, such as using Retention Sets for data retention, and using the Web Client 2.0 to restore data. You use the Operations Center and administrative command line to manage multiple IBM Spectrum Protect servers and nodes. This course also includes scripting, performance tuning, restoring the database and storage, and an overview of integration with IBM Spectrum Protect Plus 10.1.6. The hands-on exercises are performed on two Windows 2016 R2 virtual machines.

This course is the second in a two-course series. It is for storage administrators familiar with the daily management of IBM Spectrum Protect, and focuses on the latest features, such as container pool storage. Basic concepts and installation are not covered in this course. TS618G, the first course in the series, IBM Spectrum Protect 8.1.9 Implementation and Administration, covers basic administration and installation.

 

Topic


Unit 1 The IBM Spectrum Protect 8.1.11 environment

Unit 2 Storage pool management overview

Unit 3 Multi- server management

Unit 4 Recovery and long-term retention

Unit 5 Client functions and management

Unit 6 Daily maintenance and monitoring

Unit 7 Automation and scripting

Unit 8 Tuning the server and client for optimization

Unit 9 Troubleshooting and recovery

Unit 10 IBM Spectrum Protect additional products

 

Objectives


After completing this course, you should be able to:

  • Describe a multi-server IBM Spectrum Protect storage environment.
  • Manage storage containers and traditional storage pools.
  • Configure a multi-server environment.
  • Improve data protection and recovery with replication.
  • Enable advanced client functions.
  • Protect and monitor the IBM Spectrum Protect environment.
  • Use scripting to automate daily processing.
  • Optimize the IBM Spectrum Protect server and client.
  • Troubleshoot common problems.
  • Describe the other IBM Spectrum Protect family products.
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07 Sep 2021

IBM Tivoli Monitoring 6.3 for Implementers – TV355G CR

Short Summary


This intermediate-level course is for anyone involved in the implementation of IBM Tivoli Monitoring version 6.3.

 

Details


Course Code: TV355G

Brand: Management & Platform

Category: Cloud

Skill Level: Intermediate

Duration: 24.00H

Modality: CR

 

Audience


This intermediate-level course is for anyone involved in the implementation of IBM Tivoli Monitoring version 6.3.

 

Prerequisites


You should complete course IBM Tivoli Monitoring 6.2.3 Fundamentals (TM022) or have equivalent knowledge and experience.

 

Overview


With IBM Tivoli Monitoring, you can manage your systems graphically, dynamically, and flexibly. A browser-enabled interface helps transform systems management data into information you need to keep systems available. In this course, you learn how to implement IBM Tivoli Monitoring version 6.3. This training class is provided in a classroom environment with multiple opportunities for hands-on lab practice.

 

Topic


Planning an IBM Tivoli Monitoring implementation

  • Overview and references
  • Architecture and components
  • Design process
  • Deployment and availability
  • Preparing for the installation
  • Component interoperability and upgrades

Installing IBM Tivoli Monitoring infrastructure

  • Preparing for installation
  • The Startup Center
  • Installing monitoring servers
  • Installing portal server components
  • Installing the portal client
  • Post-installation tasks

Installing IBM Tivoli Monitoring agents

  • Introduction to installing and configuring agents
  • Prerequisite checker for operating system agents
  • Remote installation
  • Installing agents remotely from the command line
  • Self-describing agents
  • Silent installation
  • Installing IBM Tivoli Monitoring for Databases DB2 Agent

Configuring and managing IBM Tivoli Monitoring Agents

  • Agent configuration
  • Using the portal client to manage agents
  • Troubleshooting agent deployment
  • Jazz for Service Management and Tivoli Monitoring Dashboards
  • Jazz for Service Management Overview
  • Installing Jazz for Service Management
  • Installing the Tivoli Enterprise Monitoring Automation Server
  • Installing the IBM Tivoli Monitoring Dashboard
  • Verifying Jazz for Service Management
  • Verifying Tivoli Monitoring Dashboard

Maintaining IBM Tivoli Monitoring

  • Working with monitoring components
  • Data backup and restore
  • Maintenance
  • Monitoring server and self-monitoring

Integrated event management

  • Overview of integrated event management
  • Netcool/OMNIbus integration
  • Tivoli Enterprise Console integration
  • Event forwarding on z/OS

Configuring availability in IBM Tivoli Monitoring

  • Goals of resiliency and high availability
  • Heartbeats
  • Clustering
  • Hot standby overview
  • Monitoring agent and remote monitoring server failover
  • Portal server in the failover scenario
  • Troubleshooting options

Security for IBM Tivoli Monitoring

  • User authentication
  • Infrastructure component communication security
  • Secure Socket Layer
  • Firewall considerations with Tivoli Monitoring
  • Granular authorization
  • Single sign-on
  • Additional security topics

 

Objectives


  • Plan an IBM Tivoli Monitoring implementation
  • Install Tivoli Monitoring server components and their prerequisites
  • Install and configure Tivoli Enterprise Monitoring Agents
  • Configure and maintain IBM Tivoli Monitoring
  • Install and configure Jazz for Service and Management and Tivoli Monitoring Dashboards
  • Install and configure event synchronization with Netcool/OMNIbus and IBM Tivoli Enterprise Console
  • Configure and verify availability for IBM Tivoli Monitoring
  • Describe how to implement Tivoli Monitoring user security, infrastructure component communication security, and communications through firewalls
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07 Sep 2021

IBM Tivoli NetView for zOS 6.1 Fundamentals, Automation, REXX, PIPEs – TZ243G CR

Short Summary


This course provides comprehensive training for Tivoli NetView for z/OS version 6.1. It covers basic concepts, components, user interfaces, automation facilities, REXX, and PIPEs.

Details


Course Code: TZ243G

Brand: IBM Z – Mainframe

Category: Systems

Skill Level: Intermediate

Duration: 40.00H

Modality: CR

 

Audience


This intermediate-level course is for Administrators who are new to NetView for z/OS Administrators who are moving to version 6.1 from a previous version.

 

Prerequisites


You must be familiar with:

  • networking concepts and practices and the techniques for monitoring a complex environment.

Familiarity with previous versions of NetView is helpful, but not required.

 

Overview


IBM Tivoli NetView for z/OS offers an extensive set of tools for managing and maintaining complex, multivendor, multiplatform networks and systems from a single point of control. The NetView for z/OS curriculum consists of four courses. You can tailor their training by taking one or more of the following courses:

  • NetView for z/OS 6.1 Fundamentals (TZ203), where you learn the key concepts, components, and user interfaces associated with NetView for z/OS 6.1
  • NetView for z/OS 6.1 Automation (TZ213), which covers the automation facilities of IBM Tivoli NetView for z/OS
  • NetView for z/OS 6.1 REXX (TZ223), where you learn how to write REXX EXECs using NetView for z/OS
  • NetView for z/OS 6.1 PIPEs (TZ233), where you learn how to code NetView PIPEs within REXX EXECs to simplify operations and perform automation by using NetView for z/OS

This course combines the content from all four of these courses, thus providing comprehensive training for Tivoli NetView for z/OS version 6.1. It covers basic concepts, components, user interfaces, automation facilities, REXX, and PIPEs. Instructor-led discussions are reinforced with practical, hands-on lab exercises.

 

Topic


NetView for z/OS Fundamentals

  • NetView for z/OS overview
  • NetView packaging and installation
  • NetView structure and components
  • The 3270 interface
  • Customizing NetView using CNMSTYLE
  • NetView administration
  • IP management
  • NetView Web Services Gateway
  • NetView Management Console (NMC) interface
  • NetView Enterprise Management Agent
  • Tivoli Enterprise Portal
  • NetView product integration with IBM Tivoli OMEGAMON XE products
  • Tivoli Enterprise Portal security

NetView automation

  • Message Automation topics
  • NetView commands to facilitate automation
  • Managing the NetView Automation Table
  • NetView Automation Table coding

REXX

  • Introduction to REXX
  • Miscellaneous topics
  • Variables
  • Process Message in REXX
  • Problem analysis
  • Additional topics

PIPEs

  • Overview of NetView pipelines
  • PIPE stages
  • Access files With PIPEs
  • Pipelines and variables
  • Manipulate text in a pipeline
  • Process pipeline data
  • Advanced topics

 

Objectives


  • Describe the NetView key components and tasks
  • Describe key functions
  • Navigate these user interfaces: 3270 and TEP
  • Use NetView commands
  • Explain these user interfaces: NMC and web application
  • Customize by using CNMSTYLE, style sheets, and reporting
  • Explain basic IP management functions and System z networking
  • Identify the data that is integrated from OMEGAMON XE products
  • Identify event types that can be processed and the way that they arrive in NetView for z/OS
  • Identify what actions are possible and where they can be routed
  • Describe the functions provided by the message processing facility (MPF), the message revision table (MRT), and the command revision table (CRT)
  • Implement Automation Table statements to automate messages
  • Structure the Automation Table
  • Manage the Automation Table
  • Describe how to improve the efficiency of an Automation Table
  • Use NetView timers to proactively monitor resources
  • Describe the basics of REXX EXECs in NetView
  • Write NetView REXX EXECS
  • Issue commands
  • Trap and parse messages
  • Set and retrieve global variables
  • Perform automation
  • Describe the basics of NetView for z/OS PIPEs
  • Write code for NetView PIPEs with REXX EXECS
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07 Sep 2021

Application Migration and Modernization with IBM WebSphere Hybrid Edition – VW014G WBT

Short Summary


This course provides an overview of WebSphere Hybrid Edition – a lean, economical solution that enables clients to optimize WebSphere applications for immediate gains and higher, near-term value.

Details


Course Code: VW014G

Brand: Management & Platform

Category: Cloud

Skill Level: Basic

Duration: 5.00H

Modality: WBT

 

Audience


This course is intended for all learners who need to use WebSphere Hybrid Edition to build solution architectures, migrate or modernize existing applications, or develop new cloud native applications.

 

Prerequisites


Before taking this course, you should have a basic understanding of cloud concepts, private, public, and hybrid clouds, and traditional on-premises environments.

 

Overview


This course provides an overview of WebSphere Hybrid Edition – a lean, economical solution that enables clients to optimize WebSphere applications for immediate gains while also positioning their business for higher, near-term future value. This course describes WebSphere Hybrid Edition features and benefits, and how you can use it to leverage current investments and create new cloud native applications.

 

This course covers the essentials that you need for your journey to cloud. It describes how to use WebSphere Hybrid Edition tools to analyze and evaluate candidate applications for modernization, and transform monolithic applications into microservices. It also describes how to migrate workloads between different versions of WebSphere.

 

For information about other related courses, visit the IBM Training website:

http://www.ibm.com/training

 

Topic


Introduction to WebSphere Hybrid Edition

The application modernization journey

Application modernization tools

Get started with Liberty

 

Objectives


After completing this course, you should be able to:

  • Describe the capabilities and benefits of using WebSphere Hybrid Edition
  • Describe the application modernization journey – its phases and requirements
  • Explain how to use the tools that are included in WebSphere Hybrid Edition to migrate and modernize applications
  • Analyze and evaluate application candidates for modernization
  • Migrate workloads between different versions of WebSphere
  • Identify tools and resources for developing cloud native applications with WebSphere Hybrid Edition
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07 Sep 2021

Watson Studio Methodology – eLearning – W7067G WBT

Short Summary


This course explores data preparation, data modeling, data visualization, and data cataloging.

 

Details


Course Code: W7067G

Brand: Cloud & Data Platform

Category: Cloud

Skill Level: Basic

Duration: 6.00H

Modality: WBT

 

Audience


Data scientists, data engineer, business analyst

 

Prerequisites


None

 

Overview


In this course, you will explore data preparation, data modeling, data visualization, and data cataloging using Watson Studio, Watson Knowledge Catalog, and Watson Machine Learning.

 

Topic


Data science and AI
• Describe the value of artificial intelligence
• Explain the AI ladder approach and AI lifecycle
• Identify the roles for working with data and AI

Watson Studio
• Summarize the benefits of Watson Studio
• Outline the integration of Watson Studio and Watson Machine Learning
• List and explain the tools available in Watson Studio
• Sign up for a free IBM Watson account

Watson Machine Learning
• Describe machine learning methods and how they fit with AI
• Create a Watson Studio project for learning models

Watson Knowledge Catalog
• Explain the features of Watson Knowledge Catalog
• Identify the role of data policies to govern data assets
• List and describe the data files used in this course
• Create a catalog, add assets to a catalog, and add catalog assets to a project

Data refinement
• List the steps to successful data mining
• Describe the typical customer churn business problem
• Identify the steps in the data refinement process
• Shape a data set using the Data Refinery according to specific observations

Data modeling
• Differentiate the Watson Studio tools to create models
• Create a Watson Machine Learning model using AutoAI
• Create a Machine Learning model using SPSS Modeler
• Build a model using SparkML Modeler Flow

Data science with notebooks
• Experiment with Jupyter notebooks
• Load from a file and run a Jupyter notebook with Watson Studio

Model deployment
• Identify the model repository
• List model deployment and test options
• Deploy a model
• Test a deployed model
Objectives


  • Data science and AI
  • Watson Studio
  • Watson Machine Learning
  • Watson Knowledge Catalog
  • Data refinement
  • Data modeling
  • Data science with notebooks
  • Model deployment
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07 Sep 2021

IBM Watson Discovery for Developers – eLearning – W7068G WBT

Short Summary


You will learn how Watson Discovery on the IBM Cloud lets business analysts and developers rapidly build cognitive applications that unlock actionable insights.

 

Details


Course Code: W7068G

Brand: Cloud & Data Platform

Category: Cloud

Skill Level: Intermediate

Duration: 6.50H

Modality: WBT

 

Audience


Analysts, Developers, and others who need to monitor machine learning jobs

 

Prerequisites


• Basic knowledge of cloud platforms, for example IBM Cloud
• Basic understanding of enterprise search and natural language

 

Overview


In this 6 hour web-based training (WBT), you will learn how Watson Discovery lets business analysts and developers rapidly build cognitive, cloud-based exploration applications that unlock actionable insights hidden in unstructured data — including your own proprietary data, as well as public and third-party data.

 

Topic


Discovery overview: Architecture of Watson Discovery
• Describe Discovery architecture in a cloud environment
• Describe content creation within Discovery
• Describe Discovery data collection runtime flows
• Describe Discovery user runtime flows

Discovery overview: Administering security in Watson Discovery
• List types of security used in Watson Discovery on Cloud
• Describe how Discovery service credentials are used
• Describe a common use case for securing private data within Discovery

Discovery overview: Creating a collection
• Instantiate Watson Discovery
• Connect to a Discovery instance
• Create a collection

Configuring a Discovery collection
• Configure enrichments for a paticular business case
• Use tooling and APIs to configure a Discovery collection
• Use Smart Document Understanding to identify fields from documents

Ingesting data into a Discovery collection
• Describe use cases for using APIs, tooling and data sources to ingest data
• Describe the steps for ingesting documents into Discovery
• Perform ingestion operations such as add, update and delete documents
• Describe ingestion limitations

Querying a Discovery collection
• Explain simple, combined and aggregate queries
• Explain search and structure parameters, operators and aggregation types for querying a collection
• Use the Discovery query language for constructing queries

Querying a Discovery collection: Relevancy training
• Explain the purpose of relevancy training
• Detail the process of using relevancy training for improving results

Querying a Discovery collection: Passage retrieval
• Explain the purpose of passage retrieval
• Describe passage retrieval settings and usage
• Use passage retrieval to return pointed results
 

Objectives


• Discovery overview: Architecture of Watson Discovery
• Discovery overview: Administering security in Watson Discovery
• Discovery overview: Creating a collection
• Configuring a Discovery collection
• Ingesting data into a Discovery collection
• Querying a Discovery collection
• Querying a Discovery collection: Relevancy training
• Querying a Discovery collection: Passage retrieval

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07 Sep 2021

IBM Watson OpenScale Methodology – eLearning – W7069G WBT

Short Summary


You will learn how Watson OpenScale on the IBM Cloud lets business analysts, data scientists, and developers build monitors for artificial intelligence (AI) models to manage risks.

 

Details


Course Code: W7069G

Brand: DS&BA – Watson Analytics

Category: Analytics

Skill Level: Intermediate

Duration: 6.50H

Modality: WBT

 

Audience


Analysts, Developers, Data Scientists and others who need to monitor machine learning jobs

 

Prerequisites


• Basic knowledge of cloud platforms, for example IBM Cloud
• Basic understanding of machine learning models, and how they are used

 

Overview


You will learn how Watson OpenScale lets business analysts, data scientists, and developers build monitors for artificial intelligence (AI) models to manage risks. You will understand how to use Watson OpenScale to build monitors for quality, fairness, and drift, and how monitors impact business KPIs. You will also learn how monitoring for unwanted biases and viewing explanations of predictions helps provide business stakeholders confidence in the AI being launched into production. Note: This course contains the same topics as 6X240G IBM Watson OpenScale on IBM Cloud Pak for Data WBT.

 

Topic


Introduction to IBM Watson OpenScale
• Describe the problem that Watson OpenScale solves
• Describe models, monitors, workflow
• Describe AIF and AIE 360 toolkits
• Describe workflow

Watson OpenScale architecture
• Describe Watson OpenScale architecture on IBM Cloud and on IBM Cloud Pak for Data
• Describe how Watson OpenScale works with other cloud services

Get started with Watson OpenScale
• Provision from catalog
• Start working with Watson OpenScale

Overview of Watson OpenScale monitors
• Identify the different Watson OpenScale monitors
• Define how the different monitors are used

Explore a use case
• Prepare the model for monitoring

Build and configure the fairness monitor
• Features to monitor
• Values that represent a favorable outcome of the model
• Reference and monitored groups
• Fairness thresholds
• Sample size
• Insights and explainability

Configure the quality monitor
• Quality alert threshold
• Sample size
• Insights and explainability

Detect drift and configure the drift monitor
• Alert threshold
• Sample size
• Insights and explainability

Configure application monitors
• Configure application monitors
• Configure KPI metrics in Watson OpenScale
• Configure event details
• Access and visualize custom metrics

 

Objectives


• Introduction to IBM Watson OpenScale
• Watson OpenScale architecture
• Get started with Watson OpenScale
• Overview of Watson OpenScale monitors
• Explore a use case
• Build and configure the fairness monitor
• Configure the quality monitor
• Detect drift and configure the drift monitor
• Configure application monitors

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07 Sep 2021

IBM Watson Assistant Methodology – W7070G WBT

Short Summary


This course teaches how to prepare, develop, and deploy an IBM Watson Assistant. Applies to Watson Assistant on Cloud and Watson Assistant on Cloud Pak for Data.

 

Details


Course Code: W7070G

Brand: DS&BA – Watson Analytics

Category: Analytics

Skill Level: Intermediate

Duration: 4.00H

Modality: WBT

 

Audience


The audience for this training includes:
• Business decision makers looking for details on applications to increase employee productivity, optimize business processes, and improve the customer experience
• Subject matter experts who collect user input and craft dialog for the solution
• Developers who integrate front and back-end systems with corporate software
• Designers who create user interfaces for applications
• Performance managers who set goals and track success

 

Prerequisites


None

 

Overview


This course covers the methods of preparing for, training, and implementing an IBM Watson Assistant chatbot. It provides instruction on every step of the Assistant development process, including common use case review, user scenario development, vocabulary comprehension, data collection, tooling use, and deployment.  Applies to Watson Assistant on Cloud and Watson Assistant on Cloud Pak for Data.

 

Topic


Unit 1: Watson Assistant Essentials
• Understand assistant use cases and solution patterns
• Understand necessary data collection processes
• Understand IBM Watson Assistant vocabulary
• Create a dialog skill
• Define Intents and entities

Unit 2: Building Dialog Nodes
• Explain how to write dialog content
• Describe default node features
• Demonstrate how to edit a node
• Edit context variables
• Describe how to direct dialog flow
• Demonstrate next action options

Unit 3: Dialog Options
• Define the options panel
• Describe webhooks
• Describe disambiguation
• Describe autocorrect
• Describe irrelevance detection

Unit 4: Slots and Digressions
• Define the slots functionality
• Identify use case for slots
• Demonstrate slots
• Define digressions funcationality
• Identify uses for digressions
• Demonstrate digressions

Unit 5: Deploy and Manage
• Describe how the IBM Watson Assistant API calls work
• Describe five best practices of UI design for Assistants
• Explain how to deploy and manage an IBM Watson Assistant

 

Objectives


Watson Assistant Essentials
Building Dialog Nodes
Dialog Options
Slots and Digressions
Deploy and Manage

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07 Sep 2021

IBM Watson Knowledge Catalog Methodology – eLearning – W7071G WBT

Short Summary


This web-based training offering provides business analysts with an introduction to the basics of IBM Watson Knowledge Catalog.

 

Details


Course Code: W7071G

Brand: Cloud & Data Platform

Category: Cloud

Skill Level: Basic

Duration: 4.00H

Modality: WBT

 

Audience


Business Analysts

 

Prerequisites


  • Knowledge of your business requirements

 

Overview


This training offering provides business analysts with an introduction to the basics of IBM Watson Knowledge Catalog. They will learn how to access the Watson Knowledge Catalog and gain skills in creating catalogs, populating them with assets, and then managing the assets in the catalog.

 

Topic


Introduction to IBM Watson Knowledge Catalog
• What is IBM Watson Knowledge Catalog?
• How IBM Watson Knowledge Catalog addresses the challenge of data and AI
• What is a catalog?
• What is a project?

Work with assets
• What is an asset?
• Work with assets in a catalog
• Add files, connections, and connected assets in projects and catalogs
• Add an asset from a catalog to a project
• Publish assets from a project into a catalog
• Discover data assets from a connection in a catalog or project

Refine data
• Describe using Data Refinery to refine data
• Add data to Data Refinery and specify the format
• Validate your data
• Visualize your data
• Manage Data Refinery flows
• Copy data from a source to a target

Assessment quiz

 

Objectives


• Introduction to IBM Watson Knowledge Catalog
• Work with assets
• Refine data
• Assessment quiz

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