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Artificial Intelligence

Overview Degrees/Certificates Courses

Folsom Lake College's artificial intelligence (AI) department fosters innovation, meets industry demands, and advances education in a rapidly evolving field. It provides a structured platform for AI. By offering a range of courses, from foundational subjects to advanced topics, the department prepares students with the skills needed to tackle real-world AI challenges. It also promotes interdisciplinary collaboration, ensuring AI professionals understand their work's ethical implications and societal impacts.

Certificates Offered

Artificial Intelligence and Machine Learning Certificate

Division Dean Lorena Navarro
Department Chair Dr. Suha Al Juboori
Phone (916) 608-6615
Email navarrl@flc.losrios.edu

Certificate

Artificial Intelligence and Machine Learning Certificate

Artificial Intelligence and Machine Learning certificate focuses on building machine learning models that can be used for predicting, making decisions and enhancing human capabilities. The program provides opportunities to develop the necessary skills and basic aptitudes in Artificial Intelligence and Machine Learning that is required in different fields including the information technology, automotive, healthcare, aerospace, industrial, and manufacturing industries.

Catalog Date: August 1, 2025

Certificate Requirements

Course Code	Course Title	Units
AI 300	Introduction to Artificial Intelligence and Machine Learning	3
CISP 407	Programming in Python	4
AI 310	Machine Learning	3
AI 312	Natural Language Processing I	3
AI 314	Computer Vision I	3
Total Units:		16

Student Learning Outcomes

Upon completion of this program, the student will be able to:

explain how artificial intelligence and machine learning is useful in business or career.
apply common artificial intelligence (AI) concepts and methodologies.
utilize methods of machine learning and deep learning to build and run analytical models.
explain how to use existing artificial intelligence and machine learning programming libraries on a data set to create a valid model that justifies their design decisions.

Career Information

Artificial intelligence programmer, machine learning engineer, data scientist, and business intelligence developer are possible job opportunities. The program provides the industry professional with the knowledge and skills used in a variety of fields using artificial intelligence.

Artificial Intelligence (AI) Courses

AI 299 Experimental Offering in Artificial Intelligence

Units:0.5 - 4
Prerequisite:None.
Catalog Date:August 1, 2025

This is the experimental courses description.

AI 300 Introduction to Artificial Intelligence and Machine Learning

Units:3
Hours:54 hours LEC
Prerequisite:None.
Transferable:CSU; UC
Catalog Date:August 1, 2025

This course introduces students to artificial intelligence (AI) and machine learning (ML) basics. It explores AI use cases and applications and explains AI concepts and terms like generative AI (GenAI), deep learning (DL), computer vision, and natural language processing (NLP). Students will also be exposed to various issues and concerns surrounding AI, such as ethics and bias. This course does not require programming. This course is not open to those who have completed CISD 300.

AI 305 Ethics and Artificial Intelligence

Units:3
Hours:54 hours LEC
Prerequisite:None.
Transferable:CSU (effective Fall 2025); UC (effective Fall 2025)
Catalog Date:August 1, 2025

This introductory course on Artificial Intelligence (AI) ethics provides a comprehensive overview of ethical considerations in the domain of artificial intelligence. The course covers principles of AI ethics, strategies to foster fair and equitable AI systems, approaches to minimize biases, and methods to address key issues and establish user trust.

AI 310 Machine Learning

Units:3
Hours:54 hours LEC
Prerequisite:AI 300 with a grade of "C" or better
Transferable:CSU; UC
Catalog Date:August 1, 2025

This course introduces Machine Learning (ML) and Deep Learning (DL), focusing on their differences, mathematical foundations, and practical applications. Students will build classification, regression, and reinforcement learning models while exploring AI project structuring and emerging technologies. This course is not open to those who have completed CISD 307.

AI 312 Natural Language Processing I

Units:3
Hours:54 hours LEC
Prerequisite:AI 300 with a grade of "C" or better
Transferable:CSU; UC
Catalog Date:August 1, 2025

This course introduces students to the basics of Natural Language Processing (NLP) and how to give the ability of a computer program to understand human language as it is spoken and written, referred to as natural language. It is a component of artificial intelligence (AI). This course is not open to those who have completed CISD 410.

AI 314 Computer Vision I

Units:3
Hours:54 hours LEC
Prerequisite:AI 300 with a grade of "C" or better
Transferable:CSU; UC
Catalog Date:August 1, 2025

This course introduces students to the basics of Computer Vision (CV) which is a subset of Artificial Intelligence that train computers to automatically process, extract and manipulate visual data from images and videos. This course is not open to those who have completed CISD 412.

AI 499 Experimental Offering in Artificial Intelligence

Units:0.5 - 4
Prerequisite:None.
Catalog Date:August 1, 2025

This is the experimental courses description.