Targeted Audience

Training Manager

Instructor

Curriculum Manager

Educational Content Developer

Modules | 8

Examination | 1

Passing Score | 70%

COURSE AGENDA

Module 1: Foundations of Artificial Intelligence (AI) in Education

1.1 Fundamentals of AI.
1.2 AI in Education Today.
1.3 Impact and Future Prospects of AI.

Module 2: AI in Classroom Teaching and Learning

2.1 AI-Driven Personalized Learning.
2.2 AI Tools for Engagement.
2.3 Implementing AI Strategies.

Module 3: Ethical, Bias, and Sustainability Issues in AI

3.1 AI Ethics in Education.
3.2 Addressing AI Bias.
3.3 AI and Environmental Sustainability.

Module 4: AI and Curriculum Integration

4.1 Curriculum Planning with AI.
4.2 Interactive AI Modules.
4.3 AI in Student Assessment.

Module 5: AI for Administrative Efficiency

5.1 Streamlining Operations.
5.2 AI for Student Services.
5.3 Data Management and Analysis.

Module 6: Data Literacy and AI

6.1 Fundamentals of Data Literacy.
6.2 Data Analysis in Education.
6.3 Data-Driven Decision Making.

Module 7: AI-Enhanced Assessment and Feedback

7.1 Revolutionizing Assessments.
7.2 Automated Grading Systems.
7.3 Personalized Learning Paths.

Module 8: AI Tools and Hands-on Experience

8.1 Exploring AI Tools.
8.2 Practical Exercises.
8.3 Evaluating AI Tool Effectiveness.

Module 9: Workshop

9.1 Project – I: QSVM for Iris Dataset.
9.2 Project – II: VQC/QNN on Iris Dataset.
9.3 Bonus: IBM Quantum Computers.

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