Part-time Faculty Workforce Development Continuing Education (WDCE) AWS AI

Montgomery College; Germantown (MD); Hybrid; USD 83,000 - 131,000; Part time

Benefits offered by this job

Flexible schedule

Remote teaching options

Job summary

Montgomery College is seeking a part-time Adjunct/Part-time Faculty member to teach an AWS Certified AI Practitioner course within the WDCE program. You will deliver hands-on instruction, align with exam objectives, and engage adult learners in AI concepts across AWS services.

Responsibilities include curriculum delivery, remote/in-person sessions on evenings or Saturdays, timely feedback, and collaboration with staff on updates to the course content.

Qualifications

• Current AWS Certified AI Practitioner certification or equivalent expertise in AWS AI and generative AI.
• Hands-on experience with AWS cloud services and AI/machine learning.
• Experience with generative AI tools and platforms (Bedrock and other AWS services).
• Strong communication skills and a passion for teaching adults.
• Able to teach in person.
• Dependable, punctual, and committed to student success.

Responsibilities

• Deliver hands-on, skills-based instruction aligned with the AWS AI Practitioner exam and course objectives.
• Teach adult students on foundational AI concepts and practical AWS AI workflows.
• Prepare students to apply AWS AI technologies to real-world business contexts.
• Incorporate labs, demonstrations, and real-world scenarios to build practical AI skills.
• Provide clear, timely feedback and support to diverse learners.
• Stay current with AWS AI services and industry practices to keep content relevant.
• Deliver courses in-person and/or remotely during evenings or Saturdays.
• Collaborate with staff on curriculum development and updates.
• Maintain attendance records and complete administrative tasks promptly.

Skills

AWS Certified AI Practitioner

Communication skills

Adult education

In-person teaching

Education

Bachelor's degree in computer science or related field

Tools

Amazon Bedrock

Amazon SageMaker

AWS Lambda

AWS AI services

Job description

Job Description

Montgomery College Workforce Development & Continuing Education (WDCE) is currently accepting applications for a part-time faculty opening to teach an AWS Certified AI Practitioner course. We are seeking an enthusiastic, dedicated teacher who demonstrates a high degree of professionalism, a strong commitment to our students, and the ability to motivate and educate in an engaging manner.

Montgomery College accepts applications for Adjunct/Part‑time Faculty on a continuous basis. Applications may be reviewed periodically based on student enrollment needs.

***Montgomery College accepts applications for Adjunct/Part‑time Faculty on a continuous basis. Applications may be reviewed periodically based on student enrollment needs.***

• The listing of a course in the schedule of classes as “TBA” does not constitute an assignment.
• The hiring decision for part‑time faculty involves an academic judgment and shall be determined at Management’s sole discretion.

Duties and Responsibilities

• Deliver hands‑on, skills‑based instruction aligned with the AWS Certified AI Practitioner certification exam, course objectives, and current industry standards.
• Teach adult students on foundational concepts and practical applications of artificial intelligence and machine learning within the AWS ecosystem, including generative AI, foundation models, responsible AI, and common AWS AI services.
• Prepare students to understand and apply AWS technologies and services relevant to AI solutions, with an emphasis on real‑world business and workplace applications.
• Incorporate hands‑on activities, demonstrations, labs, and real‑world scenarios to help students develop practical AI skills and prepare for the AWS Certified AI Practitioner examination.
• Support adult learners with diverse technical experience by presenting complex AI concepts clearly, accessibly, and practically.
• Stay current with developments in AWS AI services, generative AI technologies, and industry practices to ensure course content remains relevant and up to date.
• Facilitate courses in‑person and/or remotely during weekday evenings or Saturdays.
• Collaborate with program staff and faculty on curriculum development and updates.
• Maintain accurate attendance records and submit administrative tasks promptly.
• Provide students with effective support, communication, and timely feedback.

Required Qualifications

• Current AWS Certified AI Practitioner certification or equivalent expertise in AWS artificial intelligence and generative AI technologies.
• Professional experience working with AWS cloud services, with demonstrated knowledge of AWS AI and machine learning services.
• Hands‑on experience with generative AI, including foundation models, large language models (LLMs), and AI applications.
• Practical experience using generative AI tools and platforms, preferably including Amazon Bedrock and other AWS services.
• Strong communication skills and a passion for teaching adult learners.
• Able to teach in person.

• Dependable, punctual, and committed to student success.
• Successful candidates will have a demonstrated commitment to promoting belonging, inclusion, and multicultural competence in an educational and work environment and must be willing to contribute to the College’s strategic plan of inclusion.
• Faculty members are expected to have access to a personal computer with virus protection that can connect to the internet outside of the work location (i.e., office, classroom, college campus)*If you do not have access to a personal computer, please notify the department chair at the time of the interview. Subject to available funds, the college may be able to provide temporary access to resources.
• Must be eligible to work in the United States without a sponsor.

Preferred Qualifications

• AWS Certified Solutions Architect, AWS Certified Machine Learning Engineer, or another relevant AWS certification.
• Experience with Amazon Bedrock, Amazon SageMaker, Amazon Q, AWS Lambda, and related AWS AI services.
• Experience teaching or training adult learners in higher education, workforce development, professional development, or corporate training.
• A bachelor’s degree or higher in computer science, information technology, data science, artificial intelligence, or a related field.
• Experience delivering instruction in hybrid, in‑person, and online modalities.
• Familiarity with Learning Management Systems (e.g., Blackboard).

For degrees earned outside of the U.S., a copy of your education equivalency, conducted by a nationally recognized evaluation service, must be included in your application.

Employees must live in Maryland or a state where the College has payroll reciprocity (DC, VA, PA, WV, DE, MA).

As a condition of employment, the following are required at the time of hire:

• Successful completion of a background check and degree verification (if applicable).

If a reasonable accommodation is needed to participate in the job application or interview process, please contact Human Resources and Strategic Talent Management at 240-567-5353 or [e-mail]. We require at least two weeks advance notice to enable us to provide the requested accommodation.

Montgomery College is an equal opportunity employer committed to promoting and fostering diversity among its student body, faculty, and staff.

Montgomery College is a tobacco‑free and smoke‑free workplace.

Closing Date

Thursday, December 24, 2026