IBM Machine Learning
Overview
12-18 Month Program
Enter the workforce quickly
- Full Life and Work Behavioral Skills Coaching
Course Objective
This Machine Learning (ML) program focuses on the symbolic inference, representation, and simulation by computers and software of human learning and reasoning processes and capabilities, and the computer modeling of human motor control and motion. Includes instruction in computing theory, cybernetics, human factors, natural language processing, and applicable aspects of engineering, technology, and specific end-use applications. Close attention is paid to emerging policies worldwide, regarding bias in AI data and machine learning techniques, especially with regard to race, gender and privacy protection. Students are encouraged to think outside the box and pursue new research paradigms.
Subject # | Subject Title | Total Cr Hrs |
CRML 101 | Exploratory Data Analysis for ML | 1 |
CRML 102 | Supervised Machine Learning: Regression | 1 |
CRML 103 | Supervised ML: Classification | 1 |
CRML 104 | Unsupervised ML | 1 |
CRML105 | Deep Learning and Reinforcement Learning | 1 |
CRML106 | Specialized Models: Time Series and Survival Analysis | 1 |
EQER 101 | Job Search Skills | 1 |
EQER 107 | Emotional Intelligence | 0.5 |
EQER 108 | Emotional Resilience | 0.5 |
EQER 109 | Goal Setting and Getting Things Done | 0.5 |
EQER 110 | Health and Wellness at Work | 0.5 |
EQER 111 | ML / Internship/Research | 1 |
IBM Machine Learning, Certificate Total | 10 |