One Year Online Masters in Artificial Intelligence and Machine Learning

An online program leading to a Master of Engineering in Artificial Intelligence for Product Innovation is offered by Duke University's Pratt School of Engineering. This program is designed to provide students with a comprehensive understanding of AI and its applications. It is a 30-credit-hour program that can be completed entirely online Online or on-campus in as little as 12 months, providing students with flexibility and convenience. The program's curriculum includes foundational courses in AI and machine learning, as well as advanced topics such as computer vision and natural language processing.

One unique feature of the program is its focus on the ethical and social implications of AI, providing students with the knowledge to address complex issues related to AI. The program's cost is competitive and affordable, making it a great value for students looking to advance their careers in the field of AI. Students have the opportunity to work on real-world projects, allowing them to apply their knowledge in practical settings. The program's duration can vary based on the student's pace, with the average completion time being around two years.

CSU Global offers an online Master of Science program in Artificial Intelligence and Machine Learning, catering to professionals seeking career advancement in the AI and machine learning field. It is a 30-credit-hour program that can be completed entirely online, providing students with flexibility and convenience. The program's curriculum covers fundamental AI and machine learning concepts as well as more complex subjects including deep learning, computer vision, and natural language processing. The program also offers unique courses such as Ethics in AI and Machine Learning, which explores the ethical considerations of AI technologies. Students have the chance to work on projects with practical applications, giving them firsthand knowledge of how to resolve challenging AI issues. The program's duration can vary based on the student's pace, with the average completion time being around 1 year.

Associate Degree Specialization in Machine Learning and Design Techniques.

Build your understanding of how processes and production environments can be improved with our Associate in Engineering Technology Program with a specialization in Machine Learning and Design Techniques.

Get to Know Our Machine Learning and Design Techniques Program Specialization.

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:.

Have the opportunity to put everything you learn together in a course project as part of your Process Improvement with Machine Learning course.

This is a global mark of quality that is valued by employers and professional associations within the Engineering Technology field.

Why Choose Machine Learning and Design Techniques at DeVry.

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:.

Choose the schedule that best fits your goals and commitments. You can earn your Associate Degree in as little as 1 year 4 months.

Or, follow a normal schedule and complete your program in 2 years.

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

Gain foundational knowledge and skills in data gathering and analysis, while using artificial intelligence to solve business problems and support decision-making.

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:.

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

The Associate in Engineering Technology with Machine Learning and Design Techniques specialization includes an embedded Engineering Technology Certificate Program2.

The figures displayed represent the minimum credit hours required for graduation. Additional coursework may be necessary to complete program requirements.

Career Opportunities in Machine Learning and Design Techniques Specialization.

With a Machine Learning and Design Techniques specialization, you may be able to consider careers including, but not limited to:.

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.

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.

Apply engineering theory and principles to problems of industrial layout or manufacturing production, usually under the direction of engineering staff. 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.

Operate, test, maintain, or adjust unmanned, automated, servomechanical, or electromechanical equipment. May operate unmanned submarines, aircraft, or other equipment to observe or record visual information at sites such as oil rigs, crop fields, buildings, or for similar infrastructure, deep ocean exploration, or hazardous waste removal. May assist engineers in testing and designing robotics equipment.

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

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.

In general, a degree may be a helpful thing to have when thinking pursuing a career that deals with machine learning. Because working with machine learning is a 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.

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.

Associate Degree Specialization in Medical Technology and Healthcare Systems.

Associate Degree Specialization in Renewable Energy and Sustainable Power.

Certain restrictions apply.2 Future programmatic changes could impact the ability to earn additional credentials en route to an eligible degree program. Future programmatic changes could impact the application of credits to a future program.

In New York, DeVry University operates as DeVry College of New York. DeVry is certified to operate by the State Council of Higher Education for Virginia. Arlington Campus: 1400 Crystal Dr., Ste. 120, Arlington, VA 22202. Lisle Campus: 4225 Naperville Rd, Suite 400, Lisle, IL 60532. In site-based programs, students will be required to take a substantial amount of coursework online to complete their program.

The Master of Engineering in Applied Artificial Intelligence program available online through the Stevens Institute of Technology is tailor-made for students seeking to enhance their expertise in AI and its practical implementation across diverse domains. The program requires 30 credits and can be completed on a full-time or part-time basis with an online and offline option in 18 months.

Through the program, students will learn about machine learning, deep learning, natural language processing, and computer vision. The curriculum includes unique courses such as "Robotics and Autonomous Systems" and "Human-Centered AI". The program also offers students the opportunity to work on real-world projects and gain hands-on experience with AI tools and techniques. The cost of the program varies depending on the student's residency and whether they are enrolled full-time or part-time. Graduates of the program will be well-prepared to pursue careers in areas such as data science, software engineering, and AI-related fields.