AI Instructor – STEM & AWS Workforce Accelerator
📍 Baltimore, Maryland (In-Person)
📅 16 Weeks | Saturdays 8:00 AM – 12:00 PM
👥 10–15 High School Seniors & Early College Students
About the Program
Aieon LLC is launching an AI & AWS Workforce Accelerator Program to prepare STEM students( High School and Early College students )for careers in Artificial Intelligence and Cloud Computing.
This beginner-friendly program covers:
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Artificial Intelligence (AI) fundamentals & real-world applications
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Machine Learning (ML) model development & evaluation
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Agentic AI Systems (reasoning, tool use, multi-step workflows)
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Python programming foundations for AI
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Cloud computing using Amazon Web Services
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Certification pathway aligned with AWS Certified AI Practitioner
Students’ progress from Python basics → ML modeling → Generative AI → Agentic AI workflows on AWS → Capstone deployment → Certification readiness.
Key Responsibilities
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Deliver engaging in-person instruction (10–15 students)
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Teach AI, ML, Python, and Agentic AI concepts in a beginner-friendly manner
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Guide hands-on AWS labs and cloud-based exercises
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Conduct structured AWS AI Practitioner domain reviews
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Prepare students for certification readiness
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Lead and mentor student capstone group projects, including:
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Defining real-world AI use cases
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Structuring milestones and deliverables
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Guiding architecture and model selection
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Supporting AWS implementation
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Reviewing code, demos, and documentation
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Coaching final presentations
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Collaborate with content developers to refine slides, labs, and exercises
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Ensure technical accuracy and industry relevance
Required Qualifications
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Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience)
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5+ years of experience in AI, ML, cloud computing, or data engineering
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Hands-on experience with:
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Linux systems
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Docker / Kubernetes
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AWS cloud services
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Basic networking & cloud architecture
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Experience delivering technical training or mentoring teams
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Strong communication skills
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Maryland-based (in-person instruction required)
Preferred
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AWS certifications (Cloud Practitioner, AI Practitioner, Solutions Architect)
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Experience deploying AI/ML models in cloud environments
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Experience teaching high school or early college students
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Familiarity with generative AI & prompt engineering