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  1. Programs
  3. Applied Artificial Intelligence

Applied Artificial Intelligence

The University of Tennessee-Knoxville

Micro-CredentialAcademicCIP: 11.0102

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

A 12-credit-hour certificate providing knowledge and practical skills in artificial intelligence technologies. Students understand how AI is applied in various industries and learn to apply AI knowledge to solve real-world problems, with coursework on AI ethics and legal considerations.

Credits

12 credits

Format

In-Person

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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.

Visit Program Website
Locations

Where this program is offered

  • Knoxville, Tennessee

    527 Andy Holt Tower, Knoxville, Tennessee, 37996

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Related Programs

Programs related to this one

No related programs.

Skills & Competencies

Skills developed through this program

Auto-populated·from O*NET via SOC 25-1021.00

Skills

Reading ComprehensionCritical ThinkingActive LearningActive ListeningWritingSpeakingJudgment and Decision MakingComplex Problem SolvingMathematicsProgrammingSystems AnalysisSystems EvaluationInstructingLearning StrategiesMonitoring

Knowledge

Computers and ElectronicsEnglish LanguageMathematicsCustomer and Personal ServiceAdministration and ManagementEngineering and TechnologyEducation and TrainingMedicine and Dentistry

Abilities

Oral ComprehensionOral ExpressionWritten ComprehensionWritten ExpressionDeductive ReasoningInductive ReasoningInformation OrderingProblem SensitivityNear VisionCategory FlexibilitySpeech ClaritySpeech RecognitionMathematical ReasoningFluency of Ideas

Tasks

  • Prepare course materials, such as syllabi, homework assignments, and handouts.
  • Compile, administer, and grade examinations or assign this work to others.
  • Prepare and deliver lectures to undergraduate or graduate students on topics such as programming, da
  • Design and validate clinical databases, including designing or testing logic checks.
  • Process clinical data, including receipt, entry, verification, or filing of information.
  • Generate data queries, based on validation checks or errors and omissions identified during data ent
  • Generate standard or custom reports summarizing business, financial, or economic data for review by
  • Maintain or update business intelligence tools, databases, dashboards, systems, or methods.
  • Manage timely flow of business intelligence information to users.
  • Troubleshoot program and system malfunctions to restore normal functioning.
  • Provide staff and users with assistance solving computer-related problems, such as malfunctions and
  • Test, maintain, and monitor computer programs and systems, including coordinating the installation o
  • Analyze user needs and software requirements to determine feasibility of design within time and cost
  • Develop or direct software system testing or validation procedures, programming, or documentation.
  • Confer with systems analysts, engineers, programmers and others to design systems and to obtain info
  • Analyze problems to develop solutions involving computer hardware and software.
  • Apply theoretical expertise and innovation to create or apply new technology, such as adapting princ
  • Assign or schedule tasks to meet work priorities and goals.

Technology

Data base user interface and query softwareObject or component oriented development softwareDevelopment environment softwareWeb page creation and editing softwareGraphics or photo imaging softwareDocument management softwareVideo creation and editing softwareComputer based training softwareMedical softwareCategorization or classification softwareAccess softwareData base reporting softwareBusiness intelligence and data analysis softwareStorage networking softwareCloud-based management softwareProcedure management softwareWord processing softwareAnalytical or scientific softwareData base management system software

Tools

Carousel slide projectorsCompact digital camerasCompact disk CD playersComputer data input scannersComputer laser printersComputer projectorsConference telephonesDesktop computersDigital calculatorsDigital video disk DVD playersDigital video editorsHandheld microphonesHandheld videocamerasInteractive whiteboard controllersInteractive whiteboardsHandheld computersLaptop computersSmartphonesComputer serversData warehouse appliancesLaser facsimile machinesPhotocopiersScannersStorage serversApplication serversDigital camerasDirectory serversFlash disksGraphics processing unit GPUIn circuit emulators ICE

Work Values

AchievementIndependenceWorking ConditionsRecognitionRelationshipsSupport
Career Pathways

Occupations this program prepares you for

  • Computer Science Teachers, Postsecondary25-1021.00
  • Clinical Data Managers15-2051.02
  • Business Intelligence Analysts15-2051.01
  • Data Scientists15-2051.00
  • Software Developers15-1252.00
  • Computer and Information Research Scientists15-1221.00
What You'll Learn

Key competencies developed through this program

Auto-populated·from NSX Competency Framework

Mastery: emerging (Level 1)(based on Micro-Credential)

  • Course syllabi and homework assignments — draft and organize under faculty mentorship for an introductory undergraduate computer science course.
  • Lecture content on foundational topics such as programming basics and data structures — prepare and deliver with guidance from senior colleagues in a postsecondary classroom setting.
  • Student assignments and laboratory exercises — evaluate and apply provided grading rubrics under supervisory review in a university computer science department.
  • Examination materials — administer and collect using established departmental protocols, forwarding grading to the supervising instructor as directed.
  • Student attendance records and grade entries — maintain accurately in the institution's learning management system under periodic audit by department staff.
  • Current computer science literature and conference proceedings — read and summarize to support awareness of emerging developments in the field.
  • Scheduled office hours — hold consistently to respond to undergraduate student questions on coursework and basic programming concepts.
  • Word processing and course management software — use to produce course handouts, upload materials, and communicate assignment instructions to enrolled students.
  • Existing course content and instructional materials — review and flag potential updates for supervising faculty during curriculum planning discussions.
  • Active listening and questioning techniques — apply when engaging students during classroom discussions on software design concepts in a structured lecture environment.

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