Electric Vehicle and Power Electronics
Overview
12-18 Month Program
Enter the workforce quickly
- Full Life and Work Behavioral Skills Coaching
Course Objective
Electric vehicles are the future of transportation. Electric mobility has become an essential part of the energy transition strategy and will result in significant changes for vehicle manufacturers, governments, companies and individuals.
The first half of this program is designed for students to learn the nuances of designing, producing and manufacturing of electric cars, electric buses, trucks, or motorcycles.
In this program, you will be given a comprehensive view of electric mobility including the most important aspects of this new market, state-of-the-art technology of electric vehicles and charging infrastructure; profitable business models that can work for enterprises in this market; and effective policies for governmental bodies. This series of courses will deliver expertise you can apply to all aspects of electric mobility as its importance grows. It will help policy makers, engineers and fleet managers to make sound strategic decisions about e-mobility products and their implications.
In the second part of this course, you will design modern switched-mode power converters; create high-performance control loops around power converters; understand efficiency, power density and cost trade-offs. This half of the specialization covers design-oriented analysis, modeling and simulation techniques leading to practical engineering of high-performance power electronics systems.
The approximate time required to complete this program is 12 months.
Upon successful completion of the program, the student will receive a Professional Training Award of Completion in Electric Vehicle and Power Electronics.
Total Credit Hours | 32 | |
CRDE01 | Introduction to Data Engineering | 2 |
CRDE02 | Python for Data Science, AI & Development | 3 |
CRDE03 | Python Project for Data Engineering | 2 |
CRDE04 | Introduction to Relational Databases (RDBMS) | 2 |
CRDE05 | Databases and SQL for Data Science with Python | 3 |
CRDE06 | Introduction to NoSQL Databases | 3 |
CRDE07 | Introduction to Big Data with Spark and Hadoop | 2 |
CRDE08 | Data Engineering and Machine Learning using Spark | 2 |
CRDE09 | Hands-on Introduction to Linux Commands and Shell Scripting | 1 |
CRDE10 | Relational Database Administration (DBA) | 2 |
CRDE11 | ETL and Data Pipelines with Shell, Airflow and Kafka | 2 |
CRDE12 | Getting Started with Data Warehousing and BI Analytics | 2 |
CRDE13 | Data Engineering Capstone Project | 2 |
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 | EV / PE internship/Research | 1 |
Electric Vehicle and Power Electronics, Certificate Total | 32 |