MACHINE LEARNING

The Machine Learning certificate of achievement provide foundational and practical knowledge and training to help students enter careers related to Machine Learning applications and development ,Data Science, or Data Engineering. The program touches on both open source programming tools and libraries such as Python, Scikit, and TensorFlow, and existing  AWS Cloud Services such as Rekognition, SageMaker, and Deep Racer. The program also help prepare students with appropriate background for the Machine Learning specialty certification from AWS. Topics include concepts and terminology of Artificial Intelligence and Machine Learning, the four prevalent (Supervised, Unsupervised, Reinforcement, and GAN) models of machine learning and their applications, and various Python and AWS tools and services.

Possible Jobs: Machine Learning Engineer, Associate Data & Machine Learning Engineer, Data Scientist, Associate Data Scientist, Data Analyst, Business Analytics Specialist, Data Visualization Developer, Operations Research Analyst, Market Research Analyst, Modeling and Simulation Analyst, and Big Data Analyst.

We anticipate 10 projected students/annual completers each year, based on enrollment data.

Course Department & Number	Course Title	Annual # Sections 2019-20	Annual Enrollment Total 2019-20	Annual # Sections 2020-21	Annual Enrollment Total 2020-21
CS 101	INTRODUCTION TO COMPUTER SCIENCE	13	392	16	471
CS 119	PROGRAMMING IN PYTHON	3	81	2	53
CIS 192	INTRODUCTION TO CLOUD COMPUTING	-	-	2	39
CIS 194	COMPUTE ENGINES IN AMAZON WEB SERVICES	-	-	1	12

The Machine Learning certificate of achievement provide foundational and practical knowledge and training to help students enter careers related to Machine Learning applications and development ,Data Science, or Data Engineering. The program touches on both open source programming tools and libraries such as Python, Scikit, and TensorFlow, and existing  AWS Cloud Services such as Rekognition, SageMaker, and Deep Racer. The program also help prepare students with appropriate background for the Machine Learning specialty certification from AWS. Topics include concepts and terminology of Artificial Intelligence and Machine Learning, the four prevalent (Supervised, Unsupervised, Reinforcement, and GAN) models of machine learning and their applications, and various Python and AWS tools and services.

Possible Jobs: Machine Learning Engineer, Associate Data & Machine Learning Engineer, Data Scientist, Associate Data Scientist, Data Analyst, Business Analytics Specialist, Data Visualization Developer, Operations Research Analyst, Market Research Analyst, Modeling and Simulation Analyst, and Big Data Analyst.

Program Learning Outcomes:

1. Use various Python libraries such as numpy, scipy, pandas, matplotlib, seaborn ,statsmodels, scikit-learn, keras, and TensorFlow to analyze, visualize, and forecast data for various applications.
2. Apply linear, polynomial, or logistic regression to determine relationship between input and output in supervised learning.
3. Apply binary, multi-class, and multi-label classification algorithms to choose between different alternatives in supervised learning.
4. Demonstrate the use of clustering algorithms and dimentionality reduction technique in unsupervised learning applications.
5. Explore reinforcement learning by modeling and formalizing computer interaction with the environment and machine learning through this interaction.
6.  Apply AWS Cloud Services such as Rekognition, SageMaker, and Deep Racer to Machine Learning applications.

The program supports the college mission to prepare students for careers in technical education. The program has a clear sequence of courses that leads to intended outcomes and gainful employment and as such is appropriate to the objectives and conditions of higher education and community college education in California.

The program was discussed and approved in the advisory board meeting of October 14, 2021. The minutes of that meeting is attached and the approval of the program is highlighted.

There are no requirements for additional facilities and equipment.

Course	Title	Units	Year/Semester (Y1 or S1)
CS 101	INTRODUCTION TO COMPUTER SCIENCE	3	S1
CS 119	PROGRAMMING IN PYTHON	3	S1
CIS 192	INTRODUCTION TO CLOUD COMPUTING	3	S1
CS 121	PYTHON FOR DATA SCIENCE AND MACHINE LEARNING	3	S2
CIS 194	COMPUTE ENGINES IN AMAZON WEB SERVICES	3	S2
CS 166	MACHINE LEARNING PROGRAMMING AND APPLICATIONS	3	S2

No inventory records will need to be made inactive. No similar programs are offered by the college.

Below are the closest similar programs in our region: 1) Mt. San Antonio College (28 miles away) Big Data: https://www.mtsac.edu/cis/online-certificate/bigdata.html 2) Costline College (40 miles away) Data Analytics - https://www.coastline.edu/programs/data-analytics.php 3) College of San Mateo (40 miles away) Data Science and Big Data: http://catalog.collegeofsanmateo.edu/current/programs/data-science-and-big-data-cs.php

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