Certificate in Artificial Intelligence
(for Teaching & Research)
Empowering Educators and Researchers to Lead in the AI Revolution
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About the Program
This 12-week certificate program provides a comprehensive exploration of Artificial Intelligence, Machine Learning, Deep Learning, and their transformative applications in teaching and research.
Participants will gain practical hands-on experience integrating AI tools into classrooms, research workflows, curriculum design, and academic publishing — while critically examining ethical implications and responsible AI adoption.
Course Objectives
Course Structure (12 Weeks)
Weeks 1–2: AI & Machine Learning Foundations
History of AI, supervised & unsupervised learning, reinforcement learning, generative AI.
Weeks 3–4: AI in Education & Research
Intelligent tutoring systems, adaptive learning, educational data mining, predictive analytics.
Week 5: Ethical AI
Bias, transparency, fairness, privacy, accountability, and explainable AI.
Week 6: AI Tools & Platforms
Free & premium tools, open-source vs closed-source, AI platforms for educators and researchers.
Weeks 7–9: Hands-On Labs
Markdown writing, ITS modules, curriculum enhancement, AI-driven data mining projects.
Weeks 10–12: Research Collaboration & Final Assessment
AI-assisted systematic reviews, publishing in markdown, final summative assessment.
Who Should Enroll?
Delivery Mode
Hybrid model including physical lectures, virtual sessions, hands-on labs, group projects, markdown-based assignments, and collaborative activities.
Final Assessment
Participants will complete a comprehensive quiz and publish a markdown-based reflective post demonstrating mastery of AI applications in teaching and research.