1
Foundations of AI in Education
Gain an understanding of the fundamentals of AI, ML, and DL, and how they are used in the education industry.
Learning Outcomes
2
Applications Across Education Functions
Examine AI applications in personalized learning, content creation, assessment, and administrative efficiency.
3
Evaluating AI Solutions
Discover how AI can improve education based on pedagogical value, integration feasibility, and regulatory compliance.
4
Practical AI Implementation
Examine AI strategies to improve teaching outcomes, learner engagement, and institutional management.
5
Ethics, Law & Data Security
Recognize ethical, legal, and data privacy considerations for AI in education within the Indian and global context.
6
Insights from Real-World Cases
Interpret real-world case studies to understand AI adoption challenges and best practices in education
Program structure
Lesson Plan
5 modules • 51hours total length
Module 1: Foundations of AI in Education
Module 1: Foundations of AI in Education
What you'll learn
- Defining AI, ML, and DL in the education context
- Tracing the evolution of AI in education technology
- Analyzing education data types and quality requirements
- Applying NLP, predictive analytics, and computer vision in learning
- Evaluating the benefits, risks, and pitfalls of AI adoption
- Planning vendor selection and AI workflow pilots
Skills you'll gain
AI Fundamentals Education DataNLP for LearningPredictive AnalyticsComputer VisionAI Adoption
Module 2: Personalized Learning & Adaptive Systems
Module 2: Personalized Learning & Adaptive Systems
What you'll learn
- Designing adaptive learning paths with AI platforms
- Identifying learner skill gaps and growth areas
- Building intelligent tutoring systems with real-time feedback
- Using analytics to track engagement and predict success
- Applying AI tools for inclusive and special education
- Leveraging gamification to boost learner motivation
Skills you'll gain
Adaptive LearningLearning AnalyticsTutoring SystemsAssistive TechGamificationInclusive Design
Module 3: AI in Content Creation & Curriculum Design
Module 3: AI in Content Creation & Curriculum Design
What you'll learn
- Generating lesson plans and multimedia content with AI
- Mapping and aligning curriculum using AI insights
- Creating adaptive assessments and dynamic question banks
- Translating and localizing content for regional learners
- Translating and localizing content for regional learners
Skills you'll gain
Generative AICurriculum MappingAssessment DesignContent LocalizationInteractive LearningAI Tools
Module 4: AI in Administration & Institutional Management
Module 4: AI in Administration & Institutional Management
What you'll learn
- Automating admissions, scheduling, and enrolments
- Building AI chatbots for student support and counseling
- Managing institutional resources with predictive AI tools
- Analyzing data for accreditation readiness and funding
- Supporting teacher growth with AI-driven plans and reporting
Skills you'll gain
EdTech AutomationStudent Support AIResource AnalyticsInstitutional DataTeacher DevelopmentChatbots
Module 5: Ethics, Policy & Future of AI in Education
Module 5: Ethics, Policy & Future of AI in Education
What you'll learn
- Applying global data privacy and consent frameworks
- Evaluating bias, fairness, and explainability in AI
- Interpreting Indian and global AI education policies
- Exploring future trends like the metaverse and quantum AI
- Setting up governance and AI oversight committees
Skills you'll gain
AI EthicsData PrivacyPolicy AwarenessFuture EdTechGovernance ModelsResponsible AI
