Certificate of Achievement (Transcripted): Artificial Intelligence

Below is a sample academic plan that shows you how you can complete your Certificate in a timely manner. Your path may look different depending on your circumstances?for example, if you attend part-time, choose to take Intersession or Summer courses, or have earned prior credit (Credit for Prior Learning, Dual Enrollment, Transfer Credit). You are required to meet with a counselor to set up a comprehensive education plan that is tailored to your individual circumstances and goals.

The Certificate of Achievement for Artificial Intelligence is designed for students who have an interest in working with programming using the Python language, Machine, and Deep Learning. The program is tailored to introduce different areas of Artificial Intelligence.

Demonstrate AI?s current and future capabilities and applications.

Demonstratethe technical aspects of Artificial Intelligence.

Demonstrate writingMachine Learning Algorithms.

Program Map

GE General Education Course
M Major Course
E Elective Course
SI Summer/Intersession Course *
* Course is appropriate for Summer and Intersession, which are accelerated terms.

Getting Started

Comprehensive Education Plan: You are required to meet with a counselor for a comprehensive educational plan that is tailored to your individual circumstances and goals. Please schedule an appointment with a counselor in your first semester.

First Semester

9 units
CMPR 114
Python Programming
Students will be introduced to the syntax of Python, methods used to incorporate Python into creating business applications, and create interactive forms. Students will also learn to enhance business applications using interactive programming utilizing forms, objects, looping constructs, variables, classes, and the use of various data types.
    CMPR 115
    Python for Data Analytics
    The student will learn fundamentals for Data Analytics using Python and will learn skills such as an introduction to data analysis, understanding data, data processing, writing python code, using IPython shell, reading and writing data using Panda, interacting with databases, data manipulation, and data visualization using the library called matplotlib. This course will prepare students to become a Certified Python Data Analytics Professional.
      CMPR 158
      Intro to Artificial Intelligence
      This course will cover the fundamentals and Ethics of Artificial Intelligence (AI). Concepts of Machine Learning, Deep Learning, Neural Networks and the Role of Data Analytics in AI. This course does not require any programming or computer science expertise and is designed to introduce the basics of AI to anyone, whether you have a technical background or not.

        Second Semester

        6 units
        CMPR 159
        Intro to Machine Learning with Python
        This course will introduce how Python can be utilized in Machine Learning. Students will learn how to write scripts using Python to create algorithms for Classification, Regression, Clustering, and Dimensional Reduction.
          CMPR 169
          Structured Query Language (SQL)
          This course covers database concepts and the use of SQL (Structured Query Language). Topics include writing SQL scripts, designing databases, and importing / exporting data across different platforms. Completion of Computer Science 167 or equivalent is recommended.