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Engineering Technology

Associate Degree Specialization in Machine Learning and Design Techniques

Earn your associate degree on your schedule

Build your understanding of how processes and production environments can be improved with our Associate in Engineering Technology Program with a Machine Learning and Design Techniques Specialization. Anchored by our Tech Foundations curriculum, this program is designed to help you build job-relevant skills in AI, machine learning, design solutions, and automation while teaching core principles of the discipline.

Get to know our machine learning and design techniques program specialization

Our online Associate Program 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 apply AI tools, use computer-aided design (CAD) to build 3-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 (NLP)

  • Study data analytics and artificial intelligence

  • Put everything you learn together in a course project as part of your Process Improvement with Machine Learning course

Accreditation matters

Being accredited means we’ve met rigorous quality standards and are committed to giving you the education you deserve. Our accreditations and recognitions include:

  • The Engineering Technology Accreditation Commission of ABET (ETAC of ABET): Our Associate of Applied Science in Engineering Technology is accredited by ETAC of ABET, a global mark of quality that is respected by employers and professional associations within this field.

  • The Higher Learning Commission (HLC): Institutionally, DeVry University is accredited by HLC, hlcommission.org. Our Keller Graduate School of Management is included in this accreditation.

Learn more about our
accreditations
Classes Start Every 8 Weeks

  

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Why DeVry?

Why choose machine learning and design techniques at DeVry

Work with technologies & systems

Cultivate fluency in AI, prompt engineering, task automation, coding, data modeling, and quantum tech tools.

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 1 exam attempt across a wide range of certifications:

  • Autodesk Certified User
  • Certified Entry-Level Python Programmer (PCEPTM)
  • CompTIA A+
  • CompTIA Tech+
  • Lean Six Sigma Yellow Belt
  • LPI Linux Essentials
Minimum completion time1
1 year
4 months
OR
Normal completion time2
2 years

Accelerate on your schedule

Choose the schedule that best fits your goals and commitments. You can earn your Associate in Engineering Technology with a Machine Learning and Design Techniques Specialization:

  • In as little as 1 year 4 months1

  • More quickly with qualifying transfer credits

  • In 2 years on a normal schedule2

1Minimum schedule does not include breaks and assumes 3 semesters of year-round, full-time enrollment in 15-17 credit hours a semester per 12-month period.

2Normal schedule does not include breaks and assumes 2 semesters of enrollment in 15-17 credit hours per semester per 12-month period.

  • 01 Knowledge & skills
  • 02 Stackable programs
  • 03 Careers
  • 04 Program courses
  • 05 FAQs
  • 06 Catalog download
Knowledge and skills

What you'll learn

Courses in the Machine Learning and Design Techniques specialization will cover skills such as:

Design and modeling

Leverage tools such as Amazon SageMaker, DataRobot, n8n, Google AutoML, and AI-assisted computer-aided design (CAD) software to design and build models. Learn to apply technologies that 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.

Circuit analysis

Design and analyze circuits to ensure proper construction, voltage, and currents.

Automation and control

Configure and troubleshoot control systems. 

AI and analytics

Gain foundational knowledge and skills in AI-assisted data gathering, analysis, modeling, and other functions that support decision-making.

Statistical methods

Understand the implications of new information for both current and future problem-solving and decision-making.

Quantum technologies

Study the emergence of quantum sensing, communication, and computing while assessing its potential impact.

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 effectively with people, teams, and AI in varying workplace environments.

Complex problem-solving

Apply critical and analytical thinking to identify complex problems, evaluate options, and implement solutions.

certificates
certificates

Industry-aligned 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:

  • Autodesk Certified User

  • Certified Entry-Level Python Programmer (PCEPTM)

  • CompTIA A+

  • CompTIA Tech+

  • Lean Six Sigma Yellow Belt

  • LPI Linux Essentials

Qualified students may receive up to $300 reimbursement for the cost of 1 exam.

 

Request info
Our history

Strong legacy in tech

At DeVry University, our first Associate in Electronics Engineering Technology degree was accredited in 1955, and we offered our first Bachelor’s in Electronics Engineering Technology 14 years later. This program honors our deep experience in engineering technology education while providing a modern curriculum designed to meet the unique challenges of the 21st century.

Stackable module

Grow your skills as you go

When you earn your Associate in Engineering Technology with a Machine Learning and Design Techniques Specialization, you can apply your qualifying credits toward a future Bachelor’s in Engineering Technology degree — allowing you to pave an efficient path to your goals.3

Careers

Career opportunities in machine learning and design techniques

With a strong tech foundation, our Associate in Engineering Technology Program with a Machine Learning and Design Techniques Specialization can help equip you with career-ready skills. Through interactive labs and virtual simulations, you’ll gain hands-on experience with today’s most advanced AI, machine learning, design, and automation tools to solve a wide array of problems.

With a Machine Learning and Design Techniques Specialization, you can consider careers including: 

  • 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.

     

  • Electromechanical/mechatronics technician 

    Operate, test, maintain, or adjust unmanned, automated, servomechanical, or electromechanical equipment. You may operate unmanned submarines, aircraft, or other equipment to observe or record visual information on site. You may assist engineers in testing and designing robotics equipment.

  • Engineering technician (general) 

    A general engineering technician 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.

  • 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 equipment sites to perform on-site tasks.

  • Manufacturing engineering/industrial engineering technician

    Apply engineering theory and principles to problems of industrial layout or manufacturing production, usually under the direction of engineering staff. You may perform time and motion studies on worker operations in a variety of industries for purposes such as establishing standard production rates or improving efficiency.

Program courses

Course options

The Associate in Engineering Technology with a Machine Learning and Design Techniques Specialization consists of a minimum of 64 credit hours divided into:

  • Essentials

    21 credits

  • Tech Foundations

    15 credits 

  • Program focus 

    15 credits 

  • Career preparation

    3 credits

  • Specialization

    10 credits

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?

A degree can be helpful for a career that includes machine learning. Because working with machine learning is a more advanced, technology-focused career path, many of the jobs in the field may require a degree in a technology discipline. Keep in mind that minimum job requirements will vary from employer to employer.

Are machine learning and design techniques classes available online?

Absolutely! You can take machine learning and design techniques classes online right here at DeVry. Online classes can be a great way to work on building your skills and furthering your education while balancing commitments like work or spending time with family.

Academic Catalog
2025 - 2026 Academic catalog
View academic catalog
Program overview
View program guide

1Minimum schedule does not include breaks and assumes 3 semesters of year-round, full-time enrollment in 15-17 credit hours a semester per 12-month period.

2Normal schedule does not include breaks and assumes 2 semesters of enrollment in 15-17 credit hours per semester per 12-month period.

3At 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. Future programmatic changes could impact the application of credits to a future program. Refer to the academic catalog for details.