Course Details:
- Objective: Equip faculty and decision-makers with cutting-edge AI knowledge that enhances teaching, research, and leadership using AI-powered tools and strategies.
- Duration: 5 Days (2 hours per day)
- Target Audience: Faculty, HODs, and Managers
Why This Course Stands Out
- Practical Approach: Participants gain hands-on AI experience with real-world applications
- Engagement-Oriented: Live demonstrations and interactive exercises enhance learning
- Industry Relevance: Covers AI adoption strategies used by top institutions and businesses
- Clear Takeaways: Every session delivers actionable insights for immediate implementation
- Exclusive Learning Materials: Ready-to-use AI-powered teaching and business tools
Bonus: AI Toolkit for Faculty & Managers
Participants will receive:
- AI-powered teaching & research tools list
- AI-driven syllabus templates
- Access to AI-powered dashboards for insights
- AI implementation guide for academic and business settings
Batch Date: 24th February’25 – 1st March’25
Curriculum
Day 1: The Future of AI in Academia & Management
Objective: Provide an overview of AI’s transformative impact in education, research, and business leadership.
Session Breakdown:
- Understanding AI: Basics of AI, Machine Learning, and Deep Learning
- AI in Higher Education & Industry: Impact on curriculum design, institutional ranking, and decision-making
- Applications in Management: AI-powered decision intelligence for business and educational administration
- Live Demonstration: AI-powered teaching tools and business analytics
- Panel Discussion: Exploring how AI is shaping academia and leadership
Takeaway: Participants will gain a broad perspective on AI’s impact in academia and industry, setting the foundation for deeper exploration.
Day 2: AI-Powered Teaching, Research & Institutional Workflows
Objective: Introduce faculty to AI-powered tools that enhance academic and administrative efficiency.
Session Breakdown:
- AI in Course Design & Teaching: Personalized learning, smart LMS, AI-generated learning materials
- AI in Research: Literature review automation, citation management, AI-assisted paper writing
- AI in Institutional Administration: Predictive analytics for student performance, AI-driven attendance management
- Live Demonstration: Creating AI-powered lesson plans and research abstracts
- Hands-on Task: Implementing AI tools for automating course content and research workflows
Takeaway: Faculty members will learn how to integrate AI into their teaching and research, making academic processes more efficient.
Day 3: Generative AI for Faculty & Content Creation
Objective: Enable faculty to utilize generative AI for content development, automation, and innovative teaching strategies.
Session Breakdown:
- Understanding Generative AI: AI-generated text, images, and video for academic purposes
- AI for Content Creation: Enhancing research writing, generating question papers, AI-based plagiarism detection
- Live Demonstration: AI-assisted presentations and educational material design
- Hands-on Task: Creating AI-generated quizzes, lesson plans, and reports
- AI for Assessments: Automated grading systems and AI-enhanced feedback mechanisms
Takeaway: Faculty will acquire skills to streamline academic content creation, reducing workload and enhancing engagement.
Day 4: AI in Business Decision-Making & Ethical AI
Objective: Enable HODs and managers to integrate AI into decision-making while ensuring ethical implementation.
Session Breakdown:
- AI for Institutional Decision-Making: Data-driven insights for university growth, ranking strategies, and performance analysis
- AI in Business & Leadership: Applications in HR, marketing, finance, and operations
- Ethical Considerations: Addressing AI bias, fairness, and responsible AI adoption
- Case Study Discussion: How AI is being used in leading global institutions and businesses
- Hands-on Task: Designing an AI adoption plan for academic institutions or corporate setups
Takeaway: Decision-makers will learn how to use AI strategically for institutional growth while addressing ethical challenges.
Day 5: AI Implementation Roadmap & Institutional AI Strategy
Objective: Provide participants with a structured plan for adopting AI in their respective domains.
Session Breakdown:
- AI Adoption in Academia & Business: Building an AI-driven institution
- Monetizing AI in Education & Research: Grants, AI-powered courses, and funding opportunities
- AI for Institutional Leadership: Preparing for the AI-driven future
- Case Study Discussion: Successful AI implementation in academic and corporate environments
- Hands-on Task: Developing an AI roadmap tailored for their institution
Takeaway: Participants will leave with a clear AI strategy tailored to their institutions, ensuring effective AI integration.
