Applied Artificial Intelligence Associate ofScience

The Associate in Science degree in Applied Artificial Intelligence (AI) prepares students with a foundation of theory and practical experience in AI principles. Students will explore classical machine learning and deep learning, natural language processing, prompt engineering, andresponsible AI practices. Students will also build skills in programming, math, and statistics while working on practical applied AI projects, while the general education courses will help students acquire domain knowledge in AI-driven fields such as health science, finance, physical science, and the arts. Graduates of the program will gain the technical skills needed for entry-level AI-related positions or further study in a four-year degree program.

3. Enrollment Numbers 

The Associate in Science Degree in Applied Artificial Intelligence (AI) is built on the Certificate of Achievement - Advanced foundation. With more advanced Applied AI courses, students can begin to narrow their focus in a specific AI field such as natural language processing, deep learning, data engineering, etc. In addition, with the GE requirements, students can specialize in a domain in which to apply AI: health sciences, business, physical sciences, political science, the arts, among many other domains.

Program CDCP Eligibility Criteria NA

Program Employment Potential

LMID EDD Consultant (lmidedd)

Program Code

No Value

Curriculum Office Notes

No Value 

AS_Applied Artificial Intelligence (Total 40.5-44)

Complete all of the following. IMPORTANT NOTE: Some courses have prerequisites; see the college catalog for more information.0

IMPORTANT NOTE: Some courses have a cross-listed and/or honors version. Students will receive credit foronly one version of the course.0

Required Core: (Total 25.5)

Complete all of the following 

CISD017A - Introduction to Machine Learning 4.5

CISD017B - Foundations of Machine Learning 4.5

CISD040. - Introduction to Programming in Python 4.5

CISD051. - Introduction to Prompt Engineering 4.5

CISD067. - Implementing Responsible AI 4.5

CISD082Y - Current Topics in Computer Information Systems 3

List A - Complete one option: (Total 6.5-9.5)

Complete the following number of units: 6.5-9.5. Option 1: (Total 9.5)

Complete the following number of units: 9.5

CISD007. - Introduction to Artificial Intelligence 4.5

STATC1000 - Introduction to Statistics 5 

STATC1000H - Introduction to Statistics - HONORS5 

Option 2: (Total 6.5)

Complete all of the following

CISD011. - Foundations of Data Science for All 4.5

CISD111X - Support for Foundations of Data Science for All 2

List B - Complete one option: (Total 8.5-9)

Complete the following number of units: 8.5-9

Option 1 - Deep Learning: (Total 9)

Complete all of the following

CISD078. - Introduction to Deep Learning 4.5

CISD080. - Introduction to Natural Language Processing 4.5

Option 2 - Data Analytics: (Total 8.5-9)

Complete the following number of units: 8.5-9 

CISD044A - Database Management Systems 4.5

CISD044F - Introduction to Big Data and Analytics (Being Revised) 4

CISD064B - Introduction to SQL 4.5

CISD064C - Introduction to PL/SQL (Being Revised) 4.5

CISD064G - Data Visualization Methodology and Tools (Being Revised) 4.5

Option 3 - Software Engineering: (Total 9)

Complete the following number of units: 9

CISD022C - Data Abstraction and Structures 4.5

CISD22CH - Data Abstraction and Structures - HONORS 4.5

CISD041A - Python Programming 4.5

CISD041B - Advanced Python Programming 4.5

CISD044H - R Programming 4.5

Option 4 - General: (Total 8.5-9)

Complete the following number of units: 8.5-9

CISD022C - Data Abstraction and Structures 4.5

CISD22CH - Data Abstraction and Structures - HONORS 4.5

CISD041A - Python Programming 4.5

CISD041B - Advanced Python Programming 4.5

CISD044A - Database Management Systems 4.5

CISD044F - Introduction to Big Data and Analytics (Being Revised) 4

CISD044H - R Programming 4.5

CISD064B - Introduction to SQL 4.5

CISD064C - Introduction to PL/SQL (Being Revised) 4.5

CISD064G - Data Visualization Methodology and Tools (Being Revised) 4.5

CISD078. - Introduction to Deep Learning 4.5

CISD080. - Introduction to Natural Language Processing 4.5

No.    

Within the Service area of De Anza College (Foothill College, Mission College, and West Valley College) only Mission College currently offers a program in Artificial Intelligence: Certificate of Achievement in Artificial Intelligence. This certificate offers an introduction to each area of AI: Introduction to Artificial Intelligence, Introduction to Deep Learning, Introduction to Data Analysis, Introduction to Machine Learning along with afoundational course in Python programming. Unlike Mission College, this certificate is also offered as noncredit Certificate of Completion. Another, perhaps more important difference is that an emphasis of this certificate is on using AI on the job with the course in prompt engineering and another in using AI responsibly. Multiple faculty members have been attending meetings and workshops in conjunction with UC Berkely’s Data Science and AI programs. This hasshaped our program to incorporate their Data 8 course and to create our courses as UC transferable.