Part-Time AWS AI Practitioner Instructor (Evenings)

Montgomery College

Northern (KY)

Hybrid

USD 55,000 - 99,000

Part time

12 days ago
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Job summary

Montgomery College seeks a part-time adjunct instructor to lead an AWS Certified AI Practitioner course through WDCE. The ideal candidate will deliver hands-on, industry-aligned instruction and guide adult learners in foundational AI concepts within the AWS ecosystem, including generative AI and foundation models.

Responsibilities include labs, real-world scenarios, and timely feedback. The position supports in-person and remote instruction during weekday evenings or Saturdays.

Qualifications

  • AWS Certified AI Practitioner or equivalent expertise.
  • Professional experience with AWS AI and ML services.
  • Hands-on experience with generative AI including foundation models/LLMs.
  • Experience with Bedrock, SageMaker, and related AWS AI services.
  • Ability to teach adult learners and communicate clearly.

Responsibilities

  • Deliver hands-on, skills-based instruction aligned with AWS AI Practitioner objectives.
  • Teach adults on AI/ML concepts within the AWS ecosystem, incl. generative AI and common AWS AI services.
  • Incorporate labs, demonstrations, and real-world scenarios to build practical AI skills.
  • Stay current with AWS AI developments to keep content up to date.
  • Support both in-person and remote sessions on evenings or Saturdays.

Skills

AWS Certified AI Practitioner
AWS cloud services
Generative AI
Foundation models
LLMs
Amazon Bedrock
SageMaker
Teaching adults

Education

Bachelor's degree or higher in computer science / IT / data science / AI

Tools

Blackboard

Job description

Montgomery College seeks a part-time adjunct instructor to lead an AWS Certified AI Practitioner course through WDCE. The ideal candidate will deliver hands-on, industry-aligned instruction and guide adult learners in foundational AI concepts within the AWS ecosystem, including generative AI and foundation models.

Responsibilities include labs, real-world scenarios, and timely feedback. The position supports in-person and remote instruction during weekday evenings or Saturdays.

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