Earn Your Associate Degree in As Little as 16 Months1
Build your understanding of how processes and production environments can be improved with DeVry University’s Associate in Engineering Technology with a specialization in Machine Learning and Design Techniques. Anchored by our Tech Core curriculum, this specialization offers the interdisciplinary fundamentals you need to analyze processes in the modern Internet of Things (IoT) economy.
Our embedded Engineering Technology Certificate2 lets you show off your new skills along the way.
Get to Know Our Machine Learning and Design Techniques Specialization
Our online Associate in Engineering Technology with a Machine Learning and Design Techniques specialization gives you hands-on experience with today’s cutting-edge technologies. You'll have the opportunity to use computer-aided design to build three-dimensional models, develop and train machine learning models and apply linear regression to make predictions. You will also:
- Study control systems related to applications such as robotics
- Study natural language processing
- Study data analytics and artificial intelligence
- Have the opportunity to put everything you learn together in a course project as part of your Process Improvement with Machine Learning course
Classes Start Every 8 Weeks
Earn your Associate Degree in Engineering Technology with Machine Learning and Design Techniques Specialization in as little as 1 year + 4 months*—or even more quickly with qualifying transfer credits.
*Not including breaks. Assumes year-round, full-time enrollment.
Availability
Why DeVry?
Complimentary Laptop
You’ll get a complimentary laptop as part of your technology program3. It’s our way of investing in your education—and you.
Work With IoT Technologies & Systems
Immerse yourself in the Internet of Things (IoT) world and obtain hands-on experience with IoT, cloud, software and security technologies and systems.
Certification Exam Reimbursement
Several of our tech programs are designed with industry-recognized certifications in mind. Qualified students may receive up to a $300 reimbursement for the cost of one exam attempt across a wide range of certifications:
- CompTIA A+
- CompTIA Linux+
- CompTIA Network+
- CompTIA Cloud+
Other certifications may also be eligible for reimbursement. Speak to your Student Support Advisor for additional information.
What You'll Learn
Courses in the Machine Learning and Design Techniques specialization will cover skills such as:
-
Communicate Methods and Findings
Learn to communicate the rationale behind research methods and recommendations while presenting performance objectives, issues and solutions. -
Collaborate in Dynamic Work Environments
Learn to collaborate with colleagues in varying locations and environments to coordinate and share information. -
Complex Problem Solving
Apply critical and analytical thinking to identify complex problems, evaluate options and implement solutions. -
Digital Literacy
Learn to apply appropriate technologies in order to solve digital issues and problems within databases. -
Circuit Analysis
Design and analyze circuits ensuring proper construction, voltage and currents.
-
Automation and Control
Configure and troubleshoot control systems. -
Statistical Methods
Understand the implications of new information for both current and future problem-solving and decision-making. -
Design and Modeling
Leverage computer-aided design (CAD) software to facilitate the generation, modification, and optimization of systems. -
Process Improvements and Machine Learning
Explore and apply process improvement methodologies to evaluate and enhance the performance of systems.
Skill Focused Curriculum
Elements of our Machine Learning and Design Techniques specialization curriculum are aligned to industry certifications to help you validate your knowledge and skills as you prepare to pursue such certification exams as:
- CompTIA A+
- CompTIA ITF+
- CompTIA Linux+
- CompTIA Network+
- CompTIA Cloud+
- CompTIA Security+
- Lean Six Sigma Yellow Belt
- Autodesk Certified User
- PCEP Certified Entry-Level Python Programmer
Strong Legacy in Tech
At DeVry University, our first Associate in Electronics Engineering Technology program was accredited in 1955 and our Bachelor’s in Electronics Engineering Technology was launched soon after in 1969. We’re proud to continue this legacy through the programs we offer today.
Career Opportunities
With a strong Tech Core, our Associate in Engineering Technology with a specialization in Machine Learning and Design Techniques program can help prepare you to utilize today’s most advanced tools, from computer-aided design to artificial intelligence, to solve a wide variety of problems, particularly within the manufacturing and production space.
With a Machine Learning and Design Techniques specialization, you may be able to consider careers including, but not limited to:
- Electrical Engineering Technician
Working under an electrical engineer, you may assist with all aspects of the design, development and testing of electrical control systems and equipment. Both theoretical knowledge and hands-on skills are often required, depending on the nature of the position.
- Computer User Support Specialist
In this role, also known as a help-desk technician, you’ll assist computer users with troubleshooting and repairing a variety of issues. You might be part of a corporate IT team or assist home users. A lot of this work is performed remotely via chat, phone or email, but site-based visits are sometimes required.
- Field Service Technician
Field service technicians are responsible for installing, maintaining and repairing equipment. You may spend much of your time on the road, visiting the sites where the equipment is located in order to perform on-site tasks.
- Engineering Technologist (General)
A general engineering technologist is qualified to solve many kinds of challenges across different types of engineering disciplines. Under the guidance of a specialized engineer, you might work in an area such as product design, technical operations or field engineering in virtually any industry.
Course Options
The Associate in Engineering Technology with a specialization in Machine Learning and Design Techniques consists of a minimum of 64 credit hours divided into:
- General Education (Essentials): 26 credits
- Tech Core: 21 credits
- Automation and Electronic Systems: 6 credits
- Career Preparation: 1 credit
- Specialization: 10 credits
General Education Courses
Communication skills
| ENGL112 | Composition |
One of:
| SPCH275 | Public Speaking |
| SPCH276 | Intercultural Communication |
Humanities
One of:
| ETHC232 | Ethical and Legal Issues in the Professions |
| ETHC334 | Diversity, Equity and Inclusion in the Workplace |
Social Sciences
| SOCS185 | Culture and Society |
Mathematics and Natural Sciences
| MATH114 | Algebra for College Students |
| PHYS204 | Applied Physics with Lab |
Personal and Professional Development
| CARD205 | Career Development |
| COLL148 | Critical Thinking and Problem-Solving |
Tech Core Courses
Tech Core
| CEIS101 | Introduction to Technology and Information Systems |
| CEIS106 | Introduction to Operating Systems |
| CEIS110 | Introduction to Programming |
| CEIS114 | Introduction to Digital Devices |
| NETW191 | Fundamentals of Information Technology and Networking |
| NETW211 | Fundamentals of Cloud Computing |
| SEC285 | Fundamentals of Information Systems Security |
Program Courses
Automation and Electrical Systems
| ECT226 | Electronic Device and System Foundations |
| ECT286 | Automation and Controls |
Career Preparation
| CEIS299 | Careers and Technology |
Specialized Courses
Machine Learning and Design Techniques
| MATH221 | Statistics for Decision Making |
Two of:
| CEIS308 | Systems and Computer Aided Design |
| CEIS310 | Process Improvement with Machine Learning |
| CEIS312 | Introduction to Artificial Intelligence and Machine Learning |
Embedded Programs – Demonstrate Your Growing Skills
The Associate in Engineering Technology with Machine Learning and Design Techniques specialization includes an embedded Engineering Technology Certificate2. This program provides you with the fundamental skills you need to meet the challenges of the rapidly evolving field of information technology. If you later decide to earn a qualifying bachelor’s degree at DeVry, all of the courses in your completed associate degree will count for credit toward that bachelor’s degree.4
The figures displayed represent the minimum credit hours required for graduation. Additional coursework may be necessary to complete program requirements.
FAQs: Machine Learning and Design Techniques
What is Machine Learning and Design Techniques?
Machine learning and design techniques is a discipline of engineering that focuses on enabling machine learning through various design applications. This ultimately results in products that are capable of integrating with AI to continuously improve themselves and predict outcomes that are relevant to their performance.
Do you need a degree for a machine learning career?
Are Machine Learning and Design Techniques classes available online?
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1Not including breaks. Assumes year-round, full-time enrollment.
2For the Engineering Technology Certificate and the Associate Degree in Engineering Technology, every course counts towards the Bachelor’s Degree in Engineering Technology. At the time of application to the next credential level, an evaluation of qualifying transfer credit will occur and the most beneficial outcome will be applied.
3As part of this program, one complimentary laptop is provided to students enrolled in the Associate in Information Technology and Networking, Associate in Engineering Technology, Associate in Network Systems Administration, Bachelor’s in Information Technology and Networking, Bachelor’s in Software Development, Bachelor’s in Engineering Technology, Bachelor’s in Network and Communications Management and Bachelor’s in Computer Information Systems. The laptop is issued during the student’s second session. Certain restrictions apply.
4At the time of application to the next credential level, an evaluation of qualifying transfer credit will occur and the most beneficial outcome will be applied.
*The figures displayed represent the minimum credit hours required for graduation. Additional coursework may be necessary to complete program requirements
