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Faculty Program Curriculum

Introduction to AI in Education – The Future of Learning

  • Harnessing Large Language Models (LLMs) in Education
  • AI-Enhanced Lesson Planning and Content Creation
  • AI in Evaluation, Feedback, and Assessments
  • Case studies on AI-driven curriculum enhancement and innovative teaching strategies.

Generative AI for Academic Research:

  • Practical applications for research, including data analysis, literature review automation, and data visualization.
  • Introduction to tools that assist with content generation, summarization, and language processing for research publications.

Ethics and Responsible AI in Academia:

  • Exploring ethical considerations, AI bias, and privacy issues relevant to higher education.
  • Guidelines for responsible AI use in academic research and student data handling.

AI for Campus Operations:

  • Case studies of AI applied to university administration, such as managing student data, event planning, or campus logistics.
  • Examples of AI-powered solutions to improve operational effi ciency, with scenarios relevant to university departments.

Students Toolkit

Playground.ai
Playground.ai
ClipDrop
ClipDrop
Shaguf Bites
Shaguf Bites
Spext
Spext
Midjourney
Midjourney

Future-Ready Faculty: Integrating AI into Teaching, Research, and Academia

The Faculty Track equips educators with advanced skills to integrate AI into their teaching and research practices—focusing on pedagogy, automation, curriculum innovation, and ethical responsibility. Through a series of practical modules, faculty members explore the transformative power of AI in shaping the classroom and academic landscape.

Faculty learn how to design engaging, AI-enhanced lesson plans, streamline assessments, and adopt innovative teaching strategies using large language models. They also gain hands-on experience with generative AI tools for accelerating research—covering literature reviews, data analysis, visualization, and academic writing.

A key focus is placed on ethics and responsible AI use, with dedicated sessions exploring AI bias, data privacy, and best practices for handling student information within academic environments.

Throughout the program, faculty are supported by a robust AI toolkit featuring Copilot, Education Copilot, Microsoft Designer, Bing Image Generator, Azure AI Speech, Clipchamp, MORA, and Runway ML—empowering educators to lead with innovation and integrity.

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