Designed and developed a comprehensive self-paced online certification program focused on artificial intelligence in education and workforce learning environments. The certification program was created to support faculty development and improve AI literacy, instructional readiness, ethical awareness, and practical application of generative AI technologies in online teaching and learning.
The certification consists of a sequenced series of online courses that progressively deepen participants’ understanding of artificial intelligence, generative AI tools, prompt engineering, instructional integration, and ethical considerations.
The program was developed for faculty and staff professional development through the University of North Georgia’s Distance Education and Technology Integration (DETI) initiatives.
University of North Georgia (UNG)
Distance Education and Technology Integration (DETI)
Instructional Designer / AI Learning Developer / Professional Development Coordinator
Primary responsibilities included:
Designing the certification structure and learning progression
Developing self-paced online course content
Creating instructional materials and learning activities
Aligning instruction with evidence-based educational frameworks
Integrating generative AI concepts into online teaching practices
Designing faculty-centered learning experiences
Developing prompt engineering instruction for educational applications
Incorporating ethical and societal AI considerations into curriculum design
Supporting professional development and workforce readiness initiatives
The AI in Learning Certification Program includes the following courses:
An introductory course providing a comprehensive overview of artificial intelligence, including:
AI history and evolution
Core AI concepts
Machine learning foundations
Modern AI applications
AI’s growing influence in society and education
A foundational course focused on generative AI technologies and educational applications.
Topics include:
Text generation
Image generation
Code generation
Audio and video generation
Applications of generative AI in online learning
Educational transformation through AI technologies
A professional development course designed to help faculty integrate AI tools into online teaching environments.
Topics include:
Student engagement strategies
Personalized learning approaches
AI-supported instructional workflows
Administrative task automation
AI-enhanced online teaching practices
Digital learning innovation
A specialized course focused on designing effective AI prompts using instructional design and learning science principles.
The course integrates:
Backward Design
Bloom’s Taxonomy
Cognitive Load Theory
Constructivist Learning
Universal Design for Learning (UDL)
Participants learn how to create purposeful, inclusive, and outcome-driven prompts aligned with educational objectives.
A course examining the ethical, social, and educational implications of artificial intelligence.
Topics include:
Responsible AI use
Ethical decision-making
Bias and fairness
Privacy considerations
Societal impact of AI
Educational policy implications
The certification program was intentionally designed using evidence-based instructional design principles to support meaningful learning experiences and practical application.
Instructional methodologies incorporated into course development included:
Backward Design
Bloom’s Taxonomy
Universal Design for Learning (UDL)
Cognitive Load Theory
Constructivist Learning Theory
Asynchronous online learning best practices
Micro-credentialing strategies
Faculty-centered professional development models
The courses were designed for online delivery through a Learning Management System (LMS) environment and developed as self-paced learning experiences.
Areas of focus included:
LMS-based course delivery
Online learning engagement
Digital learning accessibility
Self-paced instructional design
AI-enhanced learning activities
Professional development scalability
Designed and developed digital badges and micro-credentials associated with each course in the AI in Learning Certification program. The badges were created to support learner recognition, professional development tracking, competency validation, and workforce-oriented credentialing.
The digital badge framework was designed to:
Recognize successful course completion
Support faculty professional development pathways
Encourage progressive learning advancement
Validate AI-related competencies and skills
Promote workforce readiness and lifelong learning
Reinforce micro-credentialing strategies in online education
Badge development aligned with the certification’s sequenced learning structure and contributed to scalable faculty development and continuing education initiatives.
The AI in Learning Certification Program supports institutional efforts to:
Improve faculty AI literacy
Enhance online teaching effectiveness
Promote responsible and ethical AI use
Increase workforce readiness related to emerging technologies
Support scalable faculty development initiatives
Prepare educators for AI-integrated learning environments
The certification program demonstrates the integration of instructional design, online learning development, artificial intelligence education, and workforce-oriented professional learning.
Instructional Systems Design (ISD)
Online Course Development
Faculty Development
Learning Management Systems (LMS)
Artificial Intelligence in Education
Generative AI Integration
Prompt Engineering Instruction
Educational Technology
Workforce Learning and Development
Self-Paced Learning Design
Curriculum Development
Learning Experience Design
AI Ethics Education
Digital Learning Strategy
Micro-Credential Program Development
This project demonstrates capabilities relevant to:
Government workforce training
Higher education professional development
AI literacy initiatives
Corporate learning and development
LMS course development
Instructional design consulting
AI integration strategy
Faculty and staff training
Continuing education programs
Workforce readiness initiatives
Designed and developed a comprehensive AI in Learning Certification program consisting of self-paced online courses focused on generative AI, prompt engineering, ethical AI, online instruction, and faculty workforce readiness. Developed curriculum architecture, instructional content, micro-credential pathways, and pedagogically aligned learning experiences using evidence-based educational frameworks.