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  1. Programs
  2. AI Applications

AI Applications

IBM SkillsBuild

Course

Become a contributor for free to openly demonstrate student outcomes, industry alignment & eligibility criteria.

This credential earner has applied technical knowledge of the practical and business applications of artificial intelligence (AI). The individual has the skills to apply AI-infused techniques and solutions across various business domains and use cases such as customer experience, supply chains, risk management and human resources, and more. The earner has also practiced essential workplace skills and explored AI career pathways.

Format

Online

Eligibility Calculator

Which aid programs apply to this program?

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Program Pathways

Credentials this program stacks toward

No program pathways.

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Program Details

Detailed information about this program

No detailed information available.

Requirements

What you need to earn this credential

No requirements listed.

Financial Aid

Eligible funding programs

No funding information available.

Scholarships

No scholarships listed.

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Locations

Where this program is offered

  • Alabama

    Alabama

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Related Programs

Programs related to this one

No related programs.

Skills & Competencies

Skills developed through this program

  • Analytical Thinking
  • Artificial Intelligence
  • Customer Experience Design
  • Generative AI
  • Human Resources Processes
  • IBM watsonx
Career Pathways

Occupations this program prepares you for

Auto-populated·from O*NET + BLS
Occupations matched to this program, with median wage, top wage, growth, and openings
SOCOccupationMethodWageGrowthOpenings
Match confidence: medium15-1253.00Software Quality Assurance Analysts and Testerstitle_inference$102,610 median$166,960 top+10.01%2,020
What You'll Learn

Key competencies developed through this program

Auto-populated·from NSX Competency Framework

Mastery: emerging (Level 1)(based on Course)

  • Software defects and anomalies — identify and document under direct supervision using a bug tracking system in an entry-level QA role.
  • Test plans and predefined test scripts — execute following established procedures on assigned application modules.
  • Program function and output — recognize deviations from expected behavior and escalate findings to senior QA staff.
  • Bug tracking tools and development environment software — install and configure with guidance from a senior analyst on a project team.
  • Test procedures and replicability standards — follow documented protocols to ensure consistent test execution across sprint cycles.
  • Regression test cases — run predefined suites under supervision to validate that recent code changes have not introduced new defects.
  • Software requirements and technical specifications — read and interpret to understand expected system behavior before beginning test execution.
  • Defect reports — write clear, structured summaries using approved templates and submit to development teams via the bug tracking system.
  • System modifications — assist in smoke-testing builds prepared for implementation in a supervised pre-release environment.
  • Test results and execution logs — record accurately and organize in shared documentation repositories for team review.

Some details on this page are auto-populated from public workforce data sources: O*NET (opens in new tab), BLS (opens in new tab), College Scorecard (opens in new tab), DOL Training Provider Results (opens in new tab), NSX (opens in new tab). Provided in partnership with LER.me Career Intelligence.

Student Outcomes

Performance metrics for this program

Completion Rate
Not reported
Placement Rate
Not reported