Digital Badge Program ZZ-PENDING

This badge earner has gained skills to manage data movement, implement robust backup and recovery strategies, and monitor and maintain database performance in enterprise environments. They have explored moving and loading data using SQL commands, several recovery operations, and tools and commands for ongoing maintenance and performance tuning. They have practiced loading and reorganizing large datasets using Db2 utilities, using monitoring functions, and interpreting diagnostic data.

Course Objectives

Badge Criteria and Activities

Completion of the course IBM Db2 12.1 Data Management and Recovery for Relational DBAs (CLA91G).

This badge earner has gained skills to manage and support Db2 environments effectively. They have explored installation, configuration, database creation, and day-to-day administration tasks. They have also explored Db2 product editions and architecture, command-line and GUI tools, instance and database configuration, storage management, object creation, performance tuning with utilities, and backup and recovery strategies.

Course Objectives

Badge Criteria and Activities

Completion of the course IBM Db2 12.1 Essentials for Relational DBAs (CLA90G).

This badge earner has gained skills to analyze, tune, and optimize the performance of IBM Db2 12. They have explored interpreting and influencing the Db2 query optimization process, indexing strategies for high-performance workloads, and applying advanced tools. They have also explored the Db2 AI Optimizer and automation techniques, real-world use cases, practical monitoring methods, and proactive tuning practices.

Course Objectives

Badge Criteria and Activities

Completion of the course IBM Db2 12.1 Performance and Tuning Optimization for Relational DBAs (CLA94G).

This badge earner has gained skills to implement and manage robust security in IBM Db2 v12 environments. They have explored the fundamentals and advanced concepts of Db2 security, including authentication, authorization, and privilege hierarchies. They have also explored access controls, utilizing database roles and authorities, managing data encryption for secure communications, and applying advanced security features.

Course Objectives

Badge Criteria and Activities

Completion of the course IBM Db2 12.1 Security and Concurrency for Relational DBAs (CLA93G).

This credential earner has completed instructor-led learning for understanding the basics of using IBM Engineering Test Management to manage a test effort within a software development project. Topics included: how to plan the test effort; develop test artifacts; align with requirements and development; manage the test team's work; monitor progress; submit and track defects; and report test results and status. The earner has also participated in hands-on lab exercises.

Course Objectives

Badge Criteria and Activities

Attendance and successful completion of QN1004G IBM Engineering Test Management Tool-focused User Training instructor-led training course

This badge earner understands core concepts and architecture and demonstrates skills in building an object store using the IBM FileNet P8 Platform system.

Course Objectives

Badge Criteria and Activities

Successful completion of the course WF412G - IBM FileNet Content Manager 5.6.x: Building and Configuring an Object Store.

The successful badge earner can create, troubleshoot and interpret Manta connections, create and manage workflows in the Manta environment, and outline and associate the appropriate jobs to a workflow. The earner knows how to define the concept of Manta deductions and its limitations, contrast the lineage results before and after the alias mapping, and establish a manually defined lineage in the OpenManta Designer using all the described features.

Course Objectives

Badge Criteria and Activities

IBM Manta Metadata Administration

The successful badge earner completed this intermediate level course and can outline Manta basic principles and architecture, navigate Manta user interface, and generate a visualization diagram in Manta flow viewer. The earner can also read and interpret your data lineage graph, define the concept of perspectives and their possible uses and compare two revisions of your data pipeline in Manta.

Course Objectives

Badge Criteria and Activities

IBM Manta User Orientation

This earner can perform key administrative tasks in IBM OpenPages: configuring users, roles & profiles according to business requirements; implement security rules to handle security requirements; explain the steps involved in creating new business entities & new fields; customize workflows that align perfectly with the operational needs; demonstrate proficiency in navigating the user interface while executing essential administrative tasks; & apply hands-on skills to administrate IBM OpenPages.

Course Objectives

Badge Criteria and Activities

Complete the following course:

This badge earner has demonstrated proficiency in IBM PowerSC, including installation, configuration, and management. They understand its key pillars: Security, Compliance, Patch Management, and MFA. They are also skilled in File Integrity Monitoring (FIM), allow/block listing, EDR, and anti-malware features.

Course Objectives

Badge Criteria and Activities

IBM PowerSC Administrator

This credential earner has completed instructor-led learning for IBM Safer Payments Case Management training. The earner can configure and customize the built-in case management, and the workflow and activities involved when investigating cases.

Course Objectives

Badge Criteria and Activities

Complete the course IBM Safer Payments 6.8: Case Management (6A842G).

This credential earner has completed instructor-led learning for IBM Safer Payments Modeling training. The earner can perform model activity ranging from creating new profiles as an important input for statistical models and how to use the sandbox environment.

Course Objectives

Badge Criteria and Activities

Complete the course IBM Safer Payments 6.8: Modeling (6A830G).

This credential earner has completed instructor-led learning for IBM Safer Payments SysOps training. The earner can install, configure, and set up the Safer Payments system, manage the cluster, and monitor the system.

Course Objectives

Badge Criteria and Activities

Complete the course IBM Safer Payments 6.8: SysOps (6A822G).

This credential earner has completed instructor-led learning for IBM Safer Payments Hands-On Technical Primer. The earner can install and configure the system, build fraud models, and investigate alert cases.

Course Objectives

Badge Criteria and Activities

Complete the course IBM Safer Payments 6.8: Technical Primer (6A802G).

This credential earner has completed instructor-led learning for IBM Safer Payments Hands-On Case Management Training (V6.7). The earner can configure and customize the built-in case management, and complete the workflow and activities involved when investigating cases.

Course Objectives

Badge Criteria and Activities

IBM Safer Payments Hands-On Case Management Training (V6.7)

This credential earner has completed instructor-led learning for IBM Safer Payments Hands-On Modeling Training (V6.7). The earner can perform model activity ranging from creating new profiles as an important input for statistical models and use the sandbox environment.

Course Objectives

Badge Criteria and Activities

IBM Safer Payments Hands-On Modeling Training (V6.7)

This credential earner has completed instructor-led learning for IBM Safer Payments Hands-On SysOps Training (V6.7). The earner can install, configure, setup, manage, and monitor the Safer Payments system.

Course Objectives

Badge Criteria and Activities

IBM Safer Payments Hands-On SysOps Training (V6.7)

This credential earner has completed instructor-led learning for IBM Safer Payments Hands-On Technical Primer Training (V6.5). The earner can install and configure the system, build fraud models, and investigate alert cases.

Course Objectives

Badge Criteria and Activities

IBM Safer Payments Hands-On Technical Primer Training (V6.7)

This credential earner has completed instructor-led learning for IBM StreamSets: Platform Fundamentals and has demonstrated that they can create a StreamSets deployment, build and run a pipeline, filter data, create a job topology, trigger alerts, and manage data drift within a pipeline.

Course Objectives

Badge Criteria and Activities

Successfully complete the following IBM Instructor-Led course: IBM StreamSets: Platform Fundamentals.

This badge earner has gained skills to manage the full lifecycle of capital projects using IBM TRIRIGA. They have explored creating project records, allocating funding, developing budgets, scheduling tasks, managing documentation, and overseeing project phases through TRIRIGA's integrated tools and dashboards. They have also gained experience with project quality control, risk management, meeting documentation, and project closeout procedures.

Course Objectives

Badge Criteria and Activities

Complete the course 'IBM TRIRIGA 11.6: Capital Projects' - 8D105G.

This credential earner has completed instructor-led learning for IBM Workload Scheduler 9.4 Operations and Scheduling. The badge earner can use both the Dynamic Workload Console and command-line interfaces to monitor and manage production workflow and troubleshoot plan problems.

Course Objectives

Badge Criteria and Activities

Attendance and successful completion of TX319G IBM Workload Scheduler 9.4 Operations and Scheduling instructor-led training course

This badge earner has completed 2-day classroom training on advanced work management and related exercises in this training. The badge earner has an understanding of some of the more advanced work management techniques found in IBM MAS Manage, Reliability Strategies, Work Order Intelligence, Dynamic Job Plans and Process Flow Control and also knows how to edit and create Operational dashboards and Work Queues.

Course Objectives

Badge Criteria and Activities

Maximo Manage: Advanced Work Management

This badge earner has completed the Maximo Manage: Fundamentals of Application Designer classroom training and will have a comprehensive understanding of different types of applications available in Maximo and their functionalities. They can modify existing applications and create new ones in Maximo Manage, and can configure the applications effectively.

Course Objectives

Badge Criteria and Activities

Complete the Maximo Manage: Fundamentals of Application Design instructor-led course.

This badge earner has demonstrated they have a technical understanding and practical application of IBM MQ Appliance for version 9.4, including setup, customization, operation, administration, and monitoring of the IBM MQ Appliance. This badge is open to IBM Business Partner employees, IBM employees or Customers. Contact ibmlearning@ibm.com if you are interested in attending this course.

Course Objectives

Badge Criteria and Activities

MQ Appliance 9.4: Administration

This earner can perform essential reporting tasks in IBM OpenPages, including configuring views, customizing the user interface (such as primary menus and dashboards), integrating IBM Cognos Analytics, embedding Cognos reports into dashboards, and applying hands-on reporting skills. These capabilities enable effective management and optimization of reporting processes within the platform to support governance, risk, and compliance efforts.

Course Objectives

Badge Criteria and Activities

Successfully complete the following IBM Instructor-Led course: OpenPages 9.0: Reporting.

This badge earner has demonstrated their ability to apply Watson Speech to Text and Text to Speech technologies to a unique use case. They know how to leverage various API methods to call Watson Speech services and watsonx.ai services. They understand how to customize and deploy speech prototypes to suit specific domain language and can integrate voice capabilities into watsonx Assistant using Watson Speech to Text and Text to Speech.

Course Objectives

Badge Criteria and Activities

Successful completion of the course W7L168G - Watson Speech: Creating Voice Interfaces Using Speech APIs.

This badge recognizes individuals who have demonstrated expertise in designing, building, and optimizing AI-powered virtual assistants using watsonx Assistant. Badge earners have a deep understanding of conversational AI design, conversation flows, API integrations, and lifecycle and governance management practices. This allows them to create intelligent, context-aware assistants.

Course Objectives

Badge Criteria and Activities

watsonx Assistant: Designing and Building an Advanced AI Assistan

This badge earner has learned to use scientific methods, processes, and algorithms to identify patterns, trends, and insights from data – with the goal of enabling better decision-making. They understand how to transform, mine, and visualize data, and how to build and deploy machine learning, large language, and foundation models.

Course Objectives

Badge Criteria and Activities

Successful completion of the course W7L187G - watsonx.ai: Introduction to Data Science and Generative AI.

This credential earner has completed instructor-led learning for watsonx.ai: Large Language Model Operations and has gained practical skills in prompt engineering with Prompt Lab, building RAG models using AutoAI, and applying AI governance for compliance. Through interactive labs, they demonstrate the ability to develop, deploy, and monitor generative AI models, preparing them to operationalize LLMs in real-world enterprise settings.

Course Objectives

Badge Criteria and Activities

Successfully complete the following IBM Instructor-Led course: watsonx.ai: Large Language Model Operations

This badge earner can work with watsonx.governance to govern a predictive machine learning model across the entire lifecycle, from creation to deployment. The badge earner can evaluate the deployed model and acquire in-depth global and local explanations for the model decisions.

Course Objectives

Badge Criteria and Activities

Successfully complete the following IBM Instructor-Led course: watsonx.governance: In-depth Exploration of Transaction Explainability

This badge earner understands the concepts of administering the watsonx governance console. The earner is able to perform a variety of tasks to customize the governance console to meet the needs of different organizations. Through hands-on experience with the user interface, they know how to work with data, organizational structures, and workflows in the governance console.

Course Objectives

Badge Criteria and Activities

Successful completion of the course W7L185G - watsonx.governance: Model Risk Governance Administrator.

The badge earner has successfully completed the webMethods API Management Core course. The course provides skills and understanding of how to manage the entire life cycle of APIs and how to expose APIs to internal and external consumers. The badge earner can demonstrate their knowledge and skills associated with subject areas such as API Gateway, Developer Portal, API creation, identity management, API monetization, among others.

Course Objectives

Badge Criteria and Activities

Successful completion of one of the following courses:

The badge earner has successfully completed the webMethods Integration On-Premises Core course. The earner has demonstrated skills and understanding of how to develop integration solutions using the webMethods Integration Platform and has demonstrated knowledge and skills associated with subject areas such as Service Development, webMethods Messaging, Integration Objects and Adapters, among others.

Course Objectives

Badge Criteria and Activities

Successful completion of one of the following courses:

The badge earner has successfully completed the webMethods Integration SaaS Core course. The earner has demonstrated skills and understanding of the webMethods Integration SaaS Platform and understands the concepts of projects and workflows, the high-level architecture, and the use of monitoring, auditing and alerting capabilities.

Course Objectives

Badge Criteria and Activities

Successful completion of one of the following courses: