Related Information

Applied Artificial Intelligence Associate in Science and Certificate of Achievement.

 

The Computer Science Information Systems (CSIS) curricula provides a foundation in computing and information systems serving the diverse goals of the Grossmont community: employment in various phases of the computing industry, transfer to a baccalaureate institution for continued study in the computer and information sciences, training in selected topics for application in other professions or for personal enrichment, and advanced study for returning computing professionals. Throughout, emphasis is placed on blending fundamental theory and technique with practical applications in business, scientific and academic computing. A guiding principle is the use of intense hands-on instruction with state-of-the-art computer technology.

 

Three related but distinct areas of emphasis designed to provide corresponding job entry points are available as two-year curricula: Computer Vision, Natural Language Processing, and Deep Learning. Completion of the Computer Science Information Systems core courses or their equivalent plus any one area of emphasis satisfies the major requirements for the Associate Degree.

 

An area of emphasis leading to an entry level position which specializes in artificial intelligence or machine learning. Students completing this sequence will be expected to assist data analysts, data driven decision making, and automation for small, medium, and large-sized organizations.

 

Career Opportunities:

 

· AI Systems Tester

· Data Annotator/Labeler

· Junior AI Developer

· Automation Technician

· Chatbot Maintenance Technician

· AI Help Desk Support

· Junior Data Analyst

· Process Automation Assistant

· AI Trainer

· Data Scientist1

· Machine Learning Engineer1

· AI Researcher1

· AI Product Manager1

· Natural Language Processing (NLP) Specialist1

· Computer Vision Engineer1

· AI/ML Consultant1

· Deep Learning Engineer1

· Data Engineer1

· AI Ethics Specialist1

· Business Intelligence Analyst1

· AI Systems Architect1

 

 *Bachelor’s Degree or higher required.

 

Associate Degree Major Requirements

 

Note: All courses must be completed with a letter grade "C" or higher.

Subject & Number

Title

Units
CSIS 115 Introduction to Artificial Intelligence (AI) and Machine Learning (ML) 3
CSIS 185 Computational Theory for AI 3

CSIS 250

Introduction to Python Programming

4
CSIS 252 Cybersecurity and Artificial Intelligence with Python 4

CSIS 256

Introduction to Generative AI models

3
CSIS 266 Introduction to Large Language Models 3
CSIS 275 Artificial Intelligence Prompt Design 3

CSIS 292

 Applied Artificial Intelligence in Cloud Computing 3
PHI 142 Ethics of Technology 3

Select at least 3

units from the

following:

    
CSIS 235 Deep Learning (DL) 3

CSIS 225

Natural Language Processing (NLP)

3

CSIS 285

 Computer Vision (CV) 3

 

Total 

32

 

Certificate of Achievement

Any student who chooses to complete only the requirements listed above qualifies for a Certificate of Achievement in Applied Artificial Intelligence. An official request must be filed with the Admissions and Records Office prior to the deadline stated in the Academic Calendar.

 

 

Applied Artificial Intelligence Certificate of Proficiency

 

The certificate prepares students by covering an area of emphasis leading to an entry level position which specializes in artificial intelligence or machine learning. Students completing this sequence will be expected to assist data analysts, data driven decision making, and automation for small, medium, and large-sized organizations.

 

The Program-level Student Learning Outcomes (PSLOs) below are outcomes that students will achieve after completing specific degree / certificate requirements in this program. Students will utilize the latest AI tools and frameworks to solve problems, automate processes, and analyze data.

    1. Analyze and evaluate machine learning and artificial intelligence frameworks that best fit a               problem, data set, or process automation in a business and/or scientific environment.

    2. Design a technologically feasible and efficient solution.

    3. Standup and implement the solution.

    4. Demonstrate and explain the solution.

 

Requirements

Note: All courses must be completed with a letter grade "C" or higher.

Subject & Number

Title

Units
CSIS 115 Introduction to Artificial Intelligence (AI) and Machine Learning (ML) 3
CSIS 250 Introduction to Python Programming 4

CSIS 256

Intro to Generative AI models

3
CSIS 266 Intro to Large Language Models 3

 

Total

13

 

Any student who chooses to complete only the courses related to growing industry focuses listed above qualifies for a Certificate of Proficiency in Applied Artificial Intelligence. Certificates of Proficiency are designed for the student who needs to be prepared to enter an entry-level job. A department-issued certificate may be awarded upon successful completion of a prescribed course of study. This certificate will not appear on a student’s transcript.

 

 

Artificial Intelligence Developer Certificate of Proficiency (non-credit)

 

The Artificial Intelligence (AI) Developer Certificate of Proficiency program is designed for individuals seeking to gain foundational knowledge and practical skills in AI technologies through a focused, non-credit curriculum. This program emphasizes accessibility and hands-on learning, making it ideal for beginners, career changers, or professionals seeking to enhance their skill set. Students will learn how to implement AI, including generative AI, large language models, and practical applications in cloud computing.

This certificate can serve as a stepping stone toward further study in AI or as a standalone credential to improve job readiness in roles involving AI-assisted tools and processes.

Career Opportunities

  • Junior AI/ML Developer
  • AI Tooling Specialist
  • AI Businesses Application Developer

Note: This certificate is non-credit and designed for foundational knowledge. Additional certifications or degrees may be required for advanced roles.

The Program-level Student Learning Outcomes (PSLOs) below are outcomes that students will achieve after completing specific degree / certificate requirements in this program. Students will utilize the latest AI tools and frameworks to solve problems, automate processes, and analyze data.

  1. Understand and implement foundational concepts of artificial intelligence, including generative AI, large language models, and their practical applications.
  2. Build custom AI tools such as prompt and cloud based AI solutions, to solve real-world problems.
  3. Demonstrate proficiency in developing AI tools to automate processes, analyze data, and enhance decision-making.

Certificate of Proficiency Requirements

To earn the Artificial Intelligence Developer Certificate of Proficiency, students must complete all the following courses below. All courses are non-credit and focus on building foundational AI knowledge and skills.  Certificates of Proficiency are designed for the student who needs to be prepared to enter an entry-level job. A department-issued certificate may be awarded upon successful completion of a prescribed course of study. This certificate will not appear on a student’s transcript.  Note: All non-credit courses must be completed with a “pass” credit. 

 

 

Note: All courses must be completed with a letter grade "C" or higher.

Subject & Number

Title

Units
CSIS 092 Get started with Generative Artificial Intelligence 0
CSIS 093 Get Started with Large Language Models 0

CSIS 095

Utilizing Artificial Intelligence in Cloud Computing

0

 

 

 

Artificial Intelligence Fundamentals Certificate of Proficiency (non-credit)

 

The Artificial Intelligence (AI) Fundamentals Certificate of Proficiency program is designed for individuals seeking to gain foundational knowledge and practical skills in AI technologies through a focused, non-credit curriculum. This program emphasizes accessibility and hands-on learning, making it ideal for beginners, career changers, or professionals seeking to enhance their skill set. Students will explore key topics in AI, including generative AI, large language models, and prompt design, while addressing ethical considerations and practical applications in cloud computing.

This certificate can serve as a stepping stone toward further study in AI or as a standalone credential to improve job readiness in roles involving AI-assisted tools and processes.

Career Opportunities

  • AI Enthusiast or Advocate
  • AI Ethics Analyst
  • AI Application Support Specialist
  • Prompt Designer
  • AI Cloud Technology User
  • Technical Support for AI Tools

Note: This certificate is non-credit and designed for foundational knowledge. Additional certifications or degrees may be required for advanced roles.

The Program-level Student Learning Outcomes (PSLOs) below are outcomes that students will achieve after completing specific degree / certificate requirements in this program. Students will utilize the latest AI tools and frameworks to solve problems, automate processes, and analyze data.

  1. Explain foundational concepts of artificial intelligence, including generative AI, large language models, and their practical applications.
  2. Apply AI tools and techniques, such as prompt design and cloud-based AI solutions, to solve real-world problems.
  3. Evaluate ethical considerations and societal impacts of AI technologies in professional and personal contexts.
  4. Demonstrate proficiency in using AI-assisted tools to automate processes, analyze data, and enhance decision-making.

 

Certificate of Proficiency Requirements

 

To earn the Artificial Intelligence Fundamentals Certificate of Proficiency, students must complete all the following courses below. All courses are non-credit and focus on building foundational AI knowledge and skills.  Certificates of Proficiency are designed for the student who needs to be prepared to enter an entry-level job. A department-issued certificate may be awarded upon successful completion of a prescribed course of study. This certificate will not appear on a student’s transcript.  Note: All non-credit courses must be completed with a “pass” credit. 

 

Subject & Number

Title

Units
CSIS 090 Artificial Intelligence Jumpstart 0
CSIS 091 Artificial Intelligence Ethical Issues 0

CSIS 094

Better Prompt Design

0