About this position
Montgomery College accepts applications for Adjunct/Part-time Faculty on a continuous basis. Applications may be reviewed periodically based on the 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. 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. *** 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 application
Requirements
- 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
- 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
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How the pay compares
Medians across listings on this board that disclose per-course pay, updated daily.
- This listing
- Not disclosed
- Computer Science & IT median
- $2,857/ course, n=84
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