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:
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 |
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