AI Systems Engineering & Reliability

General Assembly
Learners will move from building and integrating AI solutions to confidently operating, monitoring, and scaling them in real-world environments. Through hands-on labs and live simulations, they'll practice automation, reliability engineering, and troubleshooting to keep AI-enabled systems stable and efficient after deployment. Participants will learn to maintain performance under pressure, implement proactive monitoring, and respond to incidents with precision and data-informed decision-making. By the end of the course, they'll have the skills and confidence to deploy, test, and sustain production-grade AI systems-building environments and pipelines that scale, recover automatically, and ensure reliability across cloud infrastructure.

Financial information

Total tuition

$2,850.00

Total required fees

$100.00

Books and supplies

$0.00

Locations

New York

Instructional methods

Online, E-learning, or Distance Learning

Is this program offered on evenings and weekends?

No

Program details

8 Weeks

Length of training

Certificate

Award type

N/A

Credits

N/A

Clock Hours

Additional details

Award name

N/A

Education Prerequisites

None

Prerequisite courses and other requirements

While not a requirement, it is recommended that incoming students have basic understanding of how AI applications are built and deployed; familiarity with machine learning and Natural Language Processing (NLP); familiarity with programming concepts, cloud environments, or prior experience (1-2 years) in data or software workflows to accelerate the understanding of the material.

Is this program approved to train veterans?

No

Program languages

English

Certification/license obtained as part of training program

N/A

Certification/license test preparation provided

None.

Employment performance results

Data is unavailable for one of several reasons: In some cases, the institution has not provided the Workforce Board with data to independently evaluate program performance. We encourage all schools to provide this data on an annual basis. In other cases, the program joined Career Bridge recently and student data has not been reported yet. In other cases, the program is too small or too new to provide reliable results.

Top industries for graduates

Data is unavailable for one of several reasons: In some cases, the institution has not provided the Workforce Board with data to independently evaluate program performance. We encourage all schools to provide this data on an annual basis. In other cases, the program joined Career Bridge recently and student data has not been reported yet. In other cases, the program is too small or too new to provide reliable results.

Student characteristics

Data is unavailable for one of several reasons: In some cases, the institution has not provided the Workforce Board with data to independently evaluate program performance. We encourage all schools to provide this data on an annual basis. In other cases, the program joined Career Bridge recently and student data has not been reported yet. In other cases, the program is too small or too new to provide reliable results.