AWS Certified Machine Learning Engineer (Associate)


Course number : 2190010    ID : 22970    Section Number : 01E

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Prerequisite:

Students must have one of the following:
  • AWS Certified AI Practitioner,
  • AWS Certified Cloud Practitioner certification
  • CompTIA A+ certification
  • CompTIA Network+ certification
  • CompTIA Cloud+ certification
  • Google IT Support Professional Certificate
  • NOVA Course Completion:  ITN 213 or ITN 257 with a grade of C or better. Equivalent courses from other accredited institutions of higher education may be substituted. You must provide course descriptions and a transcript with final grades.
Before registering, complete the IT Course Prerequisite Form and upload proof of one of the listed prerequisites. Students who register without submitting proof will be dropped from the course.
 
Course Description:

Learn@Home: Instructor-led, Live via Zoom and CANVAS

This hands-on course prepares you for the AWS Certified Machine Learning Engineer – Associate (MLA-C01) exam. You will learn to build, deploy, and maintain machine learning (ML) solutions using AWS services such as Amazon SageMaker, AWS Lambda, and Amazon Bedrock. Topics include data preparation, model development, deployment orchestration, and ML solution monitoring. The course emphasizes real-world applications and best practices for responsible and efficient ML development on AWS.
 
What is Expected:

Certification prep courses are rigorous and require strong commitment both during and after the instructor-led sessions. To successfully complete the course, you must:
  • Attend at least 70% of all scheduled Instructor-Led Training (ILT lecture) hours.
  • Complete all assignments and requirements set by your instructor.
  • Continue your learning during the 21-day Independent Study & Exam Completion period following the instructor-led portion.
  • Schedule and take your certification exam no later than the final day of the Independent Study period.
  • Upload your official exam score report within two days of taking the exam (pass or fail).
View the Course Calendar (PDF coming soon) for a visual outline of ILT sessions and the Independent Study period.
  
What is Included:

Digital course materials and industry certification exam voucher. Students are assigned all materials on the first day of class, and they are non-refundable once class begins.
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Class Details

31 Session(s)
Days of the Week :Multiple Days of the Week :
  Weekly - Mon, Wed.  
  Weekly - Thu, Fri, Sat, Sun, Mon, Tue, Wed.  

Location : NOVA Workforce Online Class Location : 
  NOVA Workforce Online Class.

Instructor : Multiple

CEUs : 4

 

Notice

Please read:  Learn@Home: Instructor-led, Live via Zoom and CANVAS - Class meets in real-time via Zoom on the days and times listed on the class schedule. Your instructor will facilitate live online lectures and discussions. Reliable internet access and a Zoom-capable device are required. See Zoom Class Requirements for more details.

This class also requires the use of your myNOVA account and the CANVAS online classroom. Please follow these instructions on how to activate your myNOVA account before the first day of class: How to access myNOVA and Canvas

Tuition: 

$2,610.00

Schedule Information

Date(s) Class Days Times Location Instructor(s) Instructional Method
4/13/2026 - 5/13/2026 Weekly - Mon, Wed 06:00 PM - 10:00 PM VIRTUAL-ONLINE, NOVA Workforce Online Class  Map, Room: Online Shahpar Islam  Lecture
5/14/2026 - 6/3/2026 Weekly - Sun, Mon, Tue, Wed, Thu, Fri, Sat 12:01 AM - 11:59 PM VIRTUAL-ONLINE, NOVA Workforce Online Class  Map, Room: Online TBD TBD  Independent Study

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