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Printed on 4/10/2026

AI Data Specialist (Artificial Intelligence Data Specialist) New

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10-156-4 Associate Degree (AAS) Part Time or Full Time 60 Credits Financial Aid Eligible Location*: Online

*If general education courses are required, they may be available at multiple locations.

The AI Data Specialist program prepares students to apply data and artificial intelligence to real-world business challenges. Students learn to acquire data from multiple sources, transform, and manage data using modern tools, evaluate machine learning models, and implement AI-driven solutions in practical settings. The program emphasizes communication with stakeholders, responsible and ethical AI use, and understanding how artificial intelligence is applied across industries. Through hands-on projects and industry-relevant technologies, students develop the technical, analytical, and professional skills needed to support AI-enabled decision-making and data-driven operations.

COURSE LIST

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Course list for reference only. Current students please refer to your individualized program plan or see your advisor.
**Outside effort hours are an estimate based on state standards, and may vary from person to person.

    Technical Studies (36 Credits)

    Course Title
    Course Number
    Credits
    Instructional Hours
    Outside Effort Hours**
    Early College Credit Options
    Prior Learning Credit Eligibility
  • IT Career Experience
    10-107-110
    2Credit
    54
    54

    • Instructional Hours: 54
    • Outside Effort Hours: 54
    • Course Number: 10107110
    • Credits: 2.00

    Examines and identifies job-seeking, job-keeping and interviewing techniques, strategies for identifying and meeting external and internal customer needs as well as good listening skills and techniques for dealing with difficult customers. Also covers time management, team dynamics, continual improvement processes and global business practices.

    Prereq: Student has completed or is in process of completing ALL of the following:

    • Student must complete 13 Semester Units of IT Coursework at the Post Secondary Level. Catalog Numbers must begin with 1015x or 10107.
  • Network Essentials
    10-150-162
    2Credit
    54
    54

    • Instructional Hours: 54
    • Outside Effort Hours: 54
    • Course Number: 10150162
    • Credits: 2.00

    Provides an introduction to networking theory and technologies, including the basics of communication, common protocols, the OSI model, network topologies, local network media, network devices, network security and networking tools. Includes more in-depth study of the components of TCP/IP, Ethernet, and wireless networks. Involves considerable time developing troubleshooting skills.

  • Data Access for Programmers
    10-152-168
    3Credit
    72
    90
    N/A

    • Instructional Hours: 72
    • Outside Effort Hours: 90
    • Course Number: 10152168
    • Credits: 3.00

    Provides background in fundamental database concepts, design, documentation, implementation and distribution involving the relational database model. Students will create, query and update relational databases using Structured Query Language (SQL).

  • Data Administration Techniques
    10-152-170
    3Credit
    72
    90

    • Instructional Hours: 72
    • Outside Effort Hours: 90
    • Course Number: 10152170
    • Credits: 3.00

    Covers the operation and management of client/server back-end relational databases. Topics include data definition language, table modification, creating views, indices, triggers, transactions, backup and recovery.

    Prereq: Student has completed or is in process of completing ALL of the following:

    • COMPUTER 10152168 - Data Access for Programmers (Grade of C or better required)
  • Python Programming with AI
    10-156-103
    3Credit
    72
    90
    N/A

    • Instructional Hours: 72
    • Outside Effort Hours: 90
    • Course Number: 10156103
    • Credits: 3.00

    Introduction to programming using the Python language. Covers programming fundamentals including variables, datatypes, loops, conditionals, functions, and libraries. Examples focus on storage, retrieval, and manipulation of data.

  • Programming in R
    10-156-106
    3Credit
    72
    90
    N/A

    • Instructional Hours: 72
    • Outside Effort Hours: 90
    • Course Number: 10156106
    • Credits: 3.00

    Programming in the R statistical computing language. Examples cover data manipulation, analysis, and plotting.

    Prereq: Student has completed or is in process of completing ALL of the following:

    • COMPUTER 10156104 - Data Analytics, Introduction OR COMPUTER 10156112 - Foundations of Data Science with AI

    • MATH 10804189 - Introductory Statistics
  • ETL & Data Warehousing
    10-156-107
    3Credit
    72
    90
    N/A

    • Instructional Hours: 72
    • Outside Effort Hours: 90
    • Course Number: 10156107
    • Credits: 3.00

    Automating data pipelines. Code Extract, Transform, Load (ETL) procedures to connect a variety of data producers, repositories, and consumers. Explores various strategies and schemas for data warehousing as well as the overall flow of data through the organization and its systems.

    Prereq: Student has completed or is in process of completing ALL of the following:

    • COMPUTER 10152170 - Data Administration Techniques
  • Business Intelligence & Data Visualization
    10-156-108
    3Credit
    72
    90
    N/A

    • Instructional Hours: 72
    • Outside Effort Hours: 90
    • Course Number: 10156108
    • Credits: 3.00

    Technologies and techniques for communicating summaries, insights, and predictions gleaned from data analyses. Examines storytelling through report design, infographics, charts and graphs, purpose-built interactive dashboards, as well as custom visualizations and animations.

  • Big Data
    10-156-109
    3Credit
    72
    90
    N/A

    • Instructional Hours: 72
    • Outside Effort Hours: 90
    • Course Number: 10156109
    • Credits: 3.00

    Explores the problems created by, strategies to tackle, and technologies to work with large data sets.

    Prereq: Student has completed or is in process of completing ALL of the following:

    • COMPUTER 10156113 Data Engineering for AI Applications OR COMPUTER 10156105 - Data Analytics, Intermediate

    • COMPUTER 10156107 - ETL & Data Warehousing
  • Introduction to AI
    10-156-111
    1Credit
    18
    36
    N/A

    • Instructional Hours: 18
    • Outside Effort Hours: 36
    • Course Number: 10156111
    • Credits: 1.00

    Provides students with a foundational understanding of artificial intelligence and its applications across industries. Through hands-on exercises and real-world examples, students will explore ethical considerations, practical tools like ChatGPT, and ways to leverage AI for productivity, data analysis, and decision-making.

  • Foundations of Data Science with AI
    10-156-112
    3Credit
    72
    90
    N/A

    • Instructional Hours: 72
    • Outside Effort Hours: 90
    • Course Number: 10156112
    • Credits: 3.00

    Introduces techniques for collecting, cleaning, analyzing, and visualizing data using Excel and Python. Emphasizes data literacy, ethical use of AI tools, and communicating results to support decision-making in business and industry.

    Prereq: Student has completed or is in process of completing ALL of the following:

    • COMPUTER 10156103 - Python Programming with AI
  • Data Engineering for AI Applications
    10-156-113
    3Credit
    72
    90
    N/A

    • Instructional Hours: 72
    • Outside Effort Hours: 90
    • Course Number: 10156113
    • Credits: 3.00

    Prepare and analyze data for use in AI and machine learning workflows. Focus is on exploratory data analysis, regression, classification, clustering, and natural language processing with attention to data quality and responsible AI practices.

    Prereq: Student has completed or is in process of completing ANY of the following options:

    • COMPUTER 10156104 - Data Analytics, Introduction

    • COMPUTER 10156112 - Foundations of Data Science with AI
  • AI Data Capstone
    10-156-114
    3Credit
    72
    90
    N/A

    • Instructional Hours: 72
    • Outside Effort Hours: 90
    • Course Number: 10156114
    • Credits: 3.00

    Applies data and AI concepts in a comprehensive project. Involves framing a problem, preparing and analyzing data, interpreting predictive results, and communicating actionable insights to stakeholders.

    Prereq: Student has completed or is in process of completing ALL of the following:

    • COMPUTER 10156105 - Data Analytics, Intermediate OR COMPUTER 10156113 Data Engineering for AI Applications

    • COMPUTER 10156107 - ETL & Data Warehousing

    Coreq: Student has completed or is simultaneously enrolling in ALL of the following:

    • COMPUTER 10156109 - Big Data
  • College Success: On Course
    10-890-100
    1Credit
    18
    36

    • Instructional Hours: 18
    • Outside Effort Hours: 36
    • Course Number: 10890100
    • Credits: 1.00

    On Course helps you learn a number of proven strategies for creating greater academic, professional and personal success. You will discover how to create a rich, fulfilling life by developing new beliefs and behaviors. College Success: On Course empowers you to make wise choices in your academic and personal life which leads to improved experiences and outcomes.

    General Studies (21 Credits)

    Course Title
    Course Number
    Credits
    Instructional Hours
    Outside Effort Hours**
    Early College Credit Options
    Prior Learning Credit Eligibility
  • English Composition I
    10-801-136
    3Credit
    54
    108

    • Instructional Hours: 54
    • Outside Effort Hours: 108
    • Course Number: 10801136
    • Credits: 3.00

    Learners develop and apply skills in all aspects of the writing process. Through a variety of learning activities and written documents, learners employ rhetorical strategies, plan, organize and revise content, apply critical reading strategies, locate and evaluate information, integrate and document sources, and apply standardized English language conventions.

    Prereq: Student has completed or is in process of completing ALL of the following:

    OR ALL of the following:

    • Student is not in progress in Associate Degree, Apprenticeship, or Technical Diploma (31 or 32 level)
  • Oral/Interpersonal Comm
    10-801-196
    3Credit
    54
    108

    • Instructional Hours: 54
    • Outside Effort Hours: 108
    • Course Number: 10801196
    • Credits: 3.00

    Focuses on developing effective listening techniques and verbal and nonverbal communication skills through oral presentation, group activity, and other projects. The study of self, conflict, and cultural contexts will be explored, as well as their impact on communication.

    Prereq: Student has completed or is in process of completing ALL of the following:

    OR ALL of the following:

    • Student is not in progress in Associate Degree, Apprenticeship, or Technical Diploma (31 or 32 level)
  • Mathematics and Logic
    10-804-133
    3Credit
    54
    108

    • Instructional Hours: 54
    • Outside Effort Hours: 108
    • Course Number: 10804133
    • Credits: 3.00

    Students will apply problem solving techniques from discrete mathematics. Topics include symbolic logic, sets, algebra and base number systems.

    Prereq: Student has completed or is in process of completing ANY of the following options:

    • Accuplacer Arithmetic 263+ OR HS GPA 2.75+ OR ACT Math 18+ OR Arithmetic Level 2 Coursework

    • MATH 10804113 - College Technical Math 1A

    • MATH 10804115 - College Technical Math 1

    • Student is not in progress in Associate Degree, Apprenticeship, or Technical Diploma (31 or 32 level)
  • Quantitative Reasoning
    10-804-135
    3Credit
    54
    108
    N/A

    • Instructional Hours: 54
    • Outside Effort Hours: 108
    • Course Number: 10804135
    • Credits: 3.00

    This course is intended to develop analytic reasoning and the ability to solve quantitative problems. Topics include logic, probability, descriptive and inferential statistics, linear and non-linear modeling, graphical representation, and functions.  The course emphasizes appropriate use of units, dimensions, estimates, mathematical notation, and technology.

    Prereq: Student has completed or is in process of completing ANY of the following options:

    • Accuplacer Arithmetic 263+ OR HS GPA 2.75+ OR ACT Math 18+ OR Arithmetic Level 2 Coursework

    • Student is not in progress in Associate Degree, Apprenticeship, or Technical Diploma (31 or 32 level)
  • Introductory Statistics
    10-804-189
    3Credit
    54
    108
    N/A

    • Instructional Hours: 54
    • Outside Effort Hours: 108
    • Course Number: 10804189
    • Credits: 3.00

    Students taking Introductory Statistics display data with graphs, describe distributions with numbers perform correlation and regression analyses, and design experiments. They use probability and distributions to make predictions, estimate parameters, and test hypotheses. They draw inferences about relationships including ANOVA.

    Prereq: Student has completed or is in process of completing ANY of the following options:

    • Accuplacer Algebra 250+ OR HS GPA 2.75+ OR ACT Math 18+ OR Algebra Level 1 Coursework

    • Student is not in progress in Associate Degree, Apprenticeship, or Technical Diploma (31 or 32 level)
  • Introduction to Ethics: Theory and App
    10-809-166
    3Credit
    54
    108

    • Instructional Hours: 54
    • Outside Effort Hours: 108
    • Course Number: 10809166
    • Credits: 3.00

    This course provides a basic understanding of the theoretical foundations of ethical thought. Diverse ethical perspectives will be used to analyze and compare relevant issues. Students will critically evaluate individual, social and professional standards of behavior, and apply a systematic decision-making process to these situations.

    Prereq: Student has completed or is in process of completing ALL of the following:

    OR ALL of the following:

    • Student is not in progress in Associate Degree, Apprenticeship, or Technical Diploma (31 or 32 level)
  • Intro to Psychology
    10-809-198
    3Credit
    54
    108

    • Instructional Hours: 54
    • Outside Effort Hours: 108
    • Course Number: 10809198
    • Credits: 3.00

    This science of psychology course is a survey of multiple aspects of behavior and mental processes. It provides an overview of topics such as research methods, theoretical perspectives, learning, cognition, memory, motivation, emotions, personality, abnormal psychology, physiological factors, social influences, and development.

    Prereq: Student has completed or is in process of completing ALL of the following:

    OR ALL of the following:

    • Student is not in progress in Associate Degree, Apprenticeship, or Technical Diploma (31 or 32 level)
×

Expected Competencies

For more information visit our Credit For Prior Learning page.
×

Eligible Dual Credit Course

What is Dual Credit?

FVTC courses taught at the high school by certified high school teachers. These teachers receive mentorship from FVTC faculty to ensure alignment in competencies, curriculum, and assessments.


  • Students earn both high school and college credits, with grades applying to both transcripts.
  • There is no cost to the school district or family.
  • Dual Credit course availability varies by high school based on factors such as lab space, equipment, and teacher qualifications.

Process:

As part of the annual course planning, students and families should meet with their High School Guidance Counselor to discuss future college and career goals. This conversation will help identify Dual Credit courses that best align with specific pathways.

×

Recommended Start College Now Course

What is Start College Now?

Qualified public-school juniors and seniors may enroll in college level classes at FVTC or online, if a comparable course is not offered within their district.

Student Eligibility Requirements:

  • Must have parent/guardian approval.
  • Must meet all course entry requirements.
  • Must be in good academic standing with an acceptable disciplinary record.

Application Process:

Interested students should consult their High School Guidance Counselor to explore course options and complete a “Start College Now” application. Applications must be submitted to High School Counselors by March 1st for fall courses and October 1st for spring courses. If approved by the school board, the cost is covered by the high school.

×

Eligible Dual Credit & Recommended Start College Now Course:

What is Dual Credit?

FVTC courses taught at the high school by certified high school teachers. These teachers receive mentorship from FVTC faculty to ensure alignment in competencies, curriculum, and assessments.

  • Students earn both high school and college credits, with grades applying to both transcripts.
  • There is no cost to the school district or family.

**Dual Credit course availability varies by high school based on factors such as lab space, equipment, and teacher qualifications.

What is Start College Now?

Qualified public-school juniors and seniors may enroll in college level classes at FVTC or online, if a comparable course is not offered within their district.

Student Eligibility Requirements:

  • Must have parent/guardian approval.
  • Must meet all course entry requirements.
  • Must be in good academic standing with an acceptable disciplinary record.

Application Process:

Interested students should consult their High School Guidance Counselor to explore course options and complete a “Start College Now” application. Applications must be submitted to High School Counselors by March 1st for fall courses and October 1st for spring courses. If approved by the school board, the cost is covered by the high school.

×

N/A

This course is not available for Dual Credit or Start College Now due to factors such as course rigor, necessary equipment, and prerequisite requirements.