Applied Artificial Intelligence

The rapid growth of Artificial Intelligence (AI) technologies is transforming industries worldwide, from healthcare and finance to transportation and entertainment. This transformation is driven by the practical integration of AI tools such as intelligent assistants, automation systems, and predictive analytics that enhance efficiency, optimize operations, and elevate customer experiences.

The Associate Degree in Applied Artificial Intelligence offers a comprehensive, hands-on education designed to equip students with the expertise to design, manage, and sustain AI systems. The program introduces the full AI development lifecycle, from project design and data preparation to model deployment —with an emphasis on ethical and responsible AI practices. Students gain applied experience in machine learning, data analysis, natural language processing, computer vision, and AI-powered virtual assistants, establishing a strong foundation for careers in emerging AI fields.

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Folsom Lake College is committed to preparing students for a rapidly evolving workforce by providing rigorous academic pathways and industry-aligned career education programs. In alignment with the mission of the California Community College system, the college develops programs that support completion, transfer, economic mobility, and workforce advancement in high-demand and emerging technology fields.

The rapid adoption of Artificial Intelligence (AI) technologies is fueling a transformative wave across industries, from healthcare and finance to transportation and entertainment. This shift is driven by practical applications such as intelligent virtual assistants, predictive analytics, and generative AI tools that improve efficiency, streamline processes, and enhance user experiences.

The Associate Degree in Applied Artificial Intelligence is a comprehensive CTE program that equips students with the knowledge and skills to design, maintain, and deploy AI systems responsibly. Students learn the full AI project lifecycle (from conception to deployment ) while addressing ethical considerations at each stage. The program emphasizes hands-on learning in machine learning, data processing, natural language processing, AI virtual assistants, and computer vision.

In the Greater Sacramento region, employer demand for AI and generative AI skills has skyrocketed, with more than 2,200 postings across nearly 500 employers between 2023 and 2024. According to the Greater Sacramento Center of Excellence (2025), the region anticipates 3,900 annual job openings in technology occupations over the next five years. This program responds directly to that demand by preparing students for high-growth workforce roles such as AI Specialist, Data Scientist, and Machine Learning Technician.

Upon completion of the Associate Degree in Applied Artificial Intelligence, the student will be able to: explain how artificial intelligence and machine learning is useful in business or career.

• Design and Implement AI Solutions – Apply machine learning and deep learning techniques to design, train, and deploy intelligent systems that address real-world problems.

• Analyze and Process Data – Collect, prepare, and interpret data for AI applications using Python and industry-standard tools for visualization and analytics.

• Integrate Core AI Domains – Demonstrate proficiency in Natural Language Processing, Computer Vision, and Generative AI by developing and evaluating practical projects.

• Apply Ethical and Responsible AI Practices – Evaluate the ethical, social, and environmental implications of AI technologies and apply principles of fairness, transparency, and accountability.

• Communicate and Collaborate Effectively – Present AI project outcomes through clear documentation, technical reports, and teamwork aligned with industry expectations.

Graduates of the program may pursue transfer opportunities or entry-level roles such as AI technician, junior machine learning developer, data analyst, AI systems support specialist, automation analyst, business intelligence assistant, or other AI-enabled positions. The degree also provides a strong foundation for continued specialization through advanced certificates in areas such as deep learning, natural language processing, computer vision, and generative AI.

Graduates of the program may pursue transfer opportunities or entry-level roles such as AI technician, junior machine learning developer, data analyst, AI systems support specialist, automation analyst, business intelligence assistant, or other AI-enabled positions. The degree also provides a strong foundation for continued specialization through advanced certificates in areas such as deep learning, natural language processing, computer vision, and generative AI.