Direct answer
AI Fundamentals is org-wide AI literacy for every employee: 2 days, hands-on, designed to give the 90% of your workforce that doesn't code the confidence to use AI in daily work.
AI for Leaders is strategic AI decision-making for the top 30–40 people in your org: 1 day, executive-format, designed to give CXOs/VPs frameworks for AI investment, governance, and roadmap planning.
They are complementary, not competing. Most enterprises run both — leaders first to set direction, then the broader workforce to execute.
Side-by-side comparison
| Dimension | AI Fundamentals | AI for Leaders |
|---|---|---|
| Primary audience | All employees, no AI background | CXOs, VPs, function heads, board members |
| Cohort size | 30–500 per batch | 10–40 per batch |
| Duration | 2 days | 1 day |
| Format | Hands-on workshop, 80% labs | Executive working session, 60% discussion |
| What participants build | Personal prompt library, AI workflows for their job | Draft AI roadmap, vendor scorecard, risk register |
| Tools used | ChatGPT, Copilot, Claude, Gemini — hands-on | Strategy frameworks, not tools |
| India context | BFSI / IT services / manufacturing / pharma examples | DPDP Act, RBI AI guidelines, Indian board oversight norms |
| Starting price | ₹3.5 lakh | ₹2.5 lakh |
| Best run when | Workforce needs to use AI now | Leadership needs to make AI decisions now |
How to choose
Run AI Fundamentals if…
- You want every employee comfortable with ChatGPT / Copilot / Claude in 30 days
- Your CXOs already understand AI direction but the workforce is lagging
- You're hitting policy violations (employees uploading sensitive data to public AI tools)
- You want measurable AI tool usage as a baseline KPI
Run AI for Leaders if…
- The board is asking about AI strategy and the CEO needs a sharper story
- You're sitting on a 12-month AI budget without a clear roadmap
- You're evaluating vendors and want a structured way to compare them
- You need AI risk and governance to land at the board level
The right sequence
For enterprises starting from zero, the proven order is:
- Week 1: AI for Leaders for the top 30–40. Outputs: draft AI roadmap, governance charter, vendor scorecard.
- Weeks 2–8: AI Fundamentals rolled out in batches across the broader workforce. Outputs: every employee has a personal AI workflow library.
- Weeks 4–12 (overlapping): Pick 1–2 priority use cases from the leadership roadmap and start implementation, in parallel with workforce rollout.
- Quarter 2: Add role-based deeper training — AI Engineering for tech teams, AI for Product Managers, AI for BFSI, AI for Industrial — based on where the priority use cases land.
What about smaller orgs?
Sub-100-employee organisations often skip AI for Leaders and run AI Fundamentals for the entire org — including the CEO — in one 2-day session. The leadership content lands as a half-day module within the broader workshop.
What about technical teams?
Engineers and data scientists should attend AI Engineering (3–5 days, hands-on with RAG, agents, production patterns), not AI Fundamentals. Run AI Engineering for the tech org and AI Fundamentals for everyone else, in parallel.
How AI Guru runs these programs
Both are practitioner-led. AI Guru's instructors are people who build production AI systems — MillMind for paper-mill operations, AssuranceOps for SOC 2 evidence, Vaja.ai for voice. Every example, every prompt pattern, every risk discussion is drawn from systems we shipped. See AI Fundamentals, AI for Leaders, or the full training catalogue.