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  1. Programs
  3. Building AI Solutions Using Advanced Algorithms and Open Source Frameworks

Building AI Solutions Using Advanced Algorithms and Open Source Frameworks

IBM SkillsBuild

Course

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

This badge earner demonstrates knowledge and understanding in technical and scientific concepts related to building AI solutions with open-source frameworks (such as TensorFlow and Keras) to make model predictions using regression, classification, and clustering algorithms such as Naive Bayes, Logistic regression, K-nearest neighbors, Polynomial Linear Regression, SVM (Kernel), Decision tree, and Ensemble learning, K means and DBSCAN for anomaly detection and computer vision.

Format

Online

Eligibility Calculator

Which aid programs apply to this program?

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Program Pathways

Credentials this program stacks toward

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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

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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

  • AI
  • AI Pipelines
  • Anomaly Detection
  • Backpropagation
  • Caffe2
  • Classification Algorithms
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: medium17-1011.00Architects, Except Landscape and Navaltitle_inference———
What You'll Learn

Key competencies developed through this program

Auto-populated·from NSX Competency Framework

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

  • Scale drawings and basic architectural layouts — produce using CAD software under direct supervision on entry-level residential or commercial projects.
  • Client functional and spatial requirements — gather and document through structured interviews under the guidance of a licensed architect.
  • Architectural design standards and building codes — recognize and apply basic provisions when preparing preliminary design documents in a professional firm.
  • Aesthetic representations of proposed structures — draft using desktop publishing and graphics software following established office templates and style guides.
  • Material specifications and construction details — compile from standard reference sources under senior architect review for straightforward building types.
  • Construction cost estimates and project timelines — assist in preparing preliminary figures using office-provided spreadsheet tools and historical cost data.
  • Engineering elements such as structural and mechanical systems — identify and flag for integration into architectural drawings with guidance from project leads.
  • Technical drawings and design documents — review for completeness and consistency against project briefs under close supervision in a studio environment.
  • Communication with clients during drawing review meetings — participate by presenting assigned drawing sets and recording feedback under architect oversight.
  • Analytical and scientific software tools — apply to basic site analysis and performance modeling tasks as directed within a multidisciplinary design team.

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