01
AI Fundamentals
Demystifies machine learning, LLMs, predictive analytics, and neural-network intuition.
Two-Day Immersive Workshop · Compressed Schedule
Faculty AI Orientation Programme
A focused orientation for faculty members on AI-enabled teaching, research workflows, academic integrity, institutional policy alignment, and responsible adoption of AI tools.
What the programme covers
The compressed design preserves the essential sequence: fundamentals, ethics, research tools, teaching tools, policy alignment, and reflection.
02
Ethics & Fairness
Explores bias, authorship, data provenance, academic integrity, and institutional accountability.
03
Research & Teaching Tools
Includes live demos of Elicit, SciSpace, NotebookLM, Perplexity, Claude, ChatGPT, and more.
04
Policy Alignment
Connects classroom practice with NEP 2020, UGC, AICTE, NAAC/NBA, and departmental AI charters.
Day-wise schedule
Select a day to view the stream-specific timetable. Both days include a common inaugural session and a one-hour lunch break.
Day 1 — Science, Arts & Humanities
10:00 AM – 3:00 PM10:00 – 10:30 30 min
Inaugural & Welcome
Chief Guest address, lamp lighting, programme vision by GreenAI Director, brief remarks by Principal/Dean, and overview of two-day goals.
Plenary
10:30 – 10:45 15 min
Orientation & Pre-Assessment
Programme goals and digital pre-survey on AI familiarity levels.
Plenary
10:45 – 11:25 40 min
Fundamentals of AI — How Machines Learn
ML vs. rule-based systems, large language models demystified, neural networks through analogy, with examples from biology, ecology, and literary pattern analysis.
Lecture + Q&A
11:25 – 12:05 40 min
AI, Ethics & Fairness — The Stakes for Academia
Algorithmic bias, data provenance, fairness in research outputs, IP and authorship, IndiaAI Mission's ethical guardrails, and ethical red-flag spotting.
Case Study + Group Exercise
12:05 – 12:55 50 min
AI Tools for Research — Science & Humanities Strand
Live demos of Elicit, Semantic Scholar, SciSpace, Research Rabbit, Zotero AI, NotebookLM, Voyant Tools, JSTOR AI, and digital corpus analysis.
Demo
12:55 – 1:55 60 min
Lunch & Informal Networking
Optional resource booklet distribution and AI poster display in the breakout area.
Break
1:55 – 2:25 30 min
AI Tools for Teaching — Pedagogy & Classroom Design
Lesson planning with Claude/ChatGPT, rubric and quiz generation, Canva AI, Gamma.app, MagicSchool.ai, curriculum scaffolding, and responsible use policy drafting.
Pedagogy
2:25 – 2:45 20 min
Institutional AI Policy, UGC Guidelines & NEP 2020 Alignment
UGC draft framework on Generative AI in HE, NEP 2020 digital competency goals, AICTE advisory, and department-level responsible AI use statements.
Policy
2:45 – 3:00 15 min
Reflection, Commitments & Close
One-thing-I-will-try card, post-survey, certificate preview, and GreenAI Academy follow-on programme announcement.
Plenary
Day 2 — Commerce, Management & Economics
10:00 AM – 3:00 PM10:00 – 10:30 30 min
Inaugural & Welcome
Chief Guest address, programme vision by GreenAI Director, brief remarks by Principal/Dean, and overview of two-day goals.
Plenary
10:30 – 10:45 15 min
Recap of Day 1 Highlights & Pre-Assessment
Brief synthesis of Day 1 learnings for cross-pollination and digital survey on current AI use in finance/management teaching.
Plenary
10:45 – 11:25 40 min
Fundamentals of AI — Through a Business & Economics Lens
Predictive analytics, recommendation systems, demand forecasting, Generative AI vs. analytical AI, and real-world examples from logistics, inventory, and trading.
Lecture + Q&A
11:25 – 12:05 40 min
AI Ethics & Fairness — The Business Accountability Dimension
Bias in credit scoring and hiring algorithms, RBI/SEBI context, dark patterns, ESG data integrity, fairness in student assessment, and debate on AI grading.
Case Study + Debate
12:05 – 12:55 50 min
AI Tools for Research — Commerce & Management Strand
Elicit and Consensus for systematic reviews, Perplexity for market intelligence, SPSS with AI assist, ATLAS.ti, Bloomberg GPT overview, Connected Papers, and Mendeley AI.
Demo
12:55 – 1:55 60 min
Lunch & Informal Networking
Optional AI tools reference card distribution and panel preview for the afternoon.
Break
1:55 – 2:25 30 min
AI Tools for Teaching — Case Pedagogy & Simulation
Generating business case studies with Claude, building simulations with ChatGPT, Excel Copilot, Power BI AI narratives, Gamma.app, and AI-resistant assessments.
Pedagogy
2:25 – 2:45 20 min
Institutional AI Policy, AICTE Guidelines & Accreditation Implications
AI in NAAC/NBA documentation, AICTE model curriculum for AI literacy, departmental AI use charter, IQAC integration of AI audit trails, and policy Q&A.
Policy
2:45 – 3:00 15 min
Cross-Day Synthesis, Commitments & Valediction
Two-day learning harvest, commitment cards, certificates, GreenAI Academy PG Certificate pathway briefing, and feedback form.
Plenary