Applied Artificial Intelligence Certificate of Achievement - Advanced

The Certificate of Achievement - Advanced in Applied Artificial Intelligence (AI) continues from the knowledge gained in the Certificate of Achievement. Students will work with more in-depth machine learning and AI modules, toolkits, and frameworks to solve hands-on applications with real world data. Students will also use programming skills and math and statistics techniques to apply and evaluate both classical and deep learning models. The certificate culminates in a capstone project where students apply AI skills and knowledge in a real-world application.

A pivotal course in this certificate is CIS 40 Introduction to Programming in Python. Between 2020-21 academic year and 2023-24 the enrollment in this course rose by 18% to 659 for the academic year of 2023-24.

The Certificate of Achievement - Advanced in Applied Artificial Intelligence (AI) continues from the knowledge that is built in the Certificate ofAchievement. Students will work with more in-depth machine learning and AI libraries, toolkits, and frameworks to solve hands-on applications with real world data. Students will also use more programming skills and math and statistical techniques to apply and evaluate learning models. 

COAA_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. 

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

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 - HONORS 5

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

not applicable 

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 a foundational 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 has shaped our program to incorporate their Data 8 course and to create our courses as UC transferable.