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  1. Programs
  3. Supervised Learning Methods

Supervised Learning Methods

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 supervised learning techniques such as classification and regression algorithms. This individual has the knowledge to apply various supervised learning techniques to real-world problems and effectively assess the performance of machine learning models. The learner is also familiar with the skills required for success in a related job role.

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

  • Artificial Intelligence
  • Classification
  • Data Segmentation
  • IBM AutoAI
  • Machine Learning
  • Model Training
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: medium11-3131.00Training and Development Managerstitle_inference$127,090 median$219,990 top+6.03%270
What You'll Learn

Key competencies developed through this program

Auto-populated·from NSX Competency Framework

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

  • Training needs data — collect and compile under supervisor guidance using structured surveys and intake forms within a department or business unit.
  • Existing training manuals and educational materials — review and flag outdated content for revision under the direction of a senior training manager.
  • Orientation sessions for new hires — assist in facilitating and coordinating logistics within an HR or L&D department setting.
  • Computer-based training software and presentation tools — operate and prepare basic course content under direct supervision in a corporate training environment.
  • Instructor and participant feedback forms — distribute, gather, and summarize responses following scheduled training events.
  • Training program schedules and calendars — organize and maintain using document management software within an established departmental workflow.
  • Active listening and note-taking — apply during management interviews and needs-assessment meetings to capture key inputs for senior staff review.
  • Training budget line items — track expenditures against approved allocations under the oversight of a department manager.
  • On-the-job training arrangements for new employees — support coordination by liaising between supervisors and HR teams in a structured onboarding process.
  • Multimedia visual aids and slide decks — draft and format using graphics and presentation software following templates provided by senior instructional staff.

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