AI Education

AI that organisations can actually use.

Great AI systems fail when the team doesn't trust them. We've seen production systems ignored — not because they didn't work, but because nobody explained them.

Education isn't separate from our systems work. It's how we make sure they stick.

Discuss a programView programs↓
Why this matters

AI adoption fails without understanding.

We've built production AI systems that worked exactly as designed — and watched them sit unused. Not because the technology failed. Because the team didn't understand what they were looking at, didn't trust the outputs, and didn't know how to act on them.

AI adoption that sticks requires understanding, not just software.

That's why we don't treat education as a separate offering. It's built into how we deliver systems. Every engagement includes knowledge transfer. Every program is grounded in how AI actually works in production — not in theory.

🎯
Builds judgment, not just knowledge
Teams that understand AI can evaluate claims, spot opportunities, and ask the right questions of their engineers
⚡
Accelerates adoption
Organisations that understand what they're adopting move 3x faster than those handed a system without context
🔗
Connects to real implementation
Every program uses examples from Indian organisations — not US case studies that don't apply
🌱
Builds internal capability
Teams that understand AI identify new opportunities themselves — not just use the system we built
The adoption gap — and how we close it
AI System
→
Team
❌ System ignored — no trust, no adoption
AI System
↔
Team (educated)
✅ Adoption — team trusts it, uses it, improves it
R
Rohit Agarwal — Founder, RootOps
All programs taught by Rohit

Shipped MoPilot to 300,000 users in 3 weeks, scaled engineering teams from 40 to 120 at Partex, and built production AI systems at Innoplexus for 6 years before AI became a startup pitch. He teaches from that experience — including what broke in production and why — not from slides about what AI theoretically can do.

Our programs

Three programs. Three audiences.

Each designed for a specific context — not a generic AI awareness session repurposed for every room.

Program 01 — Higher Education

Colleges & Universities

Practical AI curriculum for real-world use.

Students don't just learn AI — they build and evaluate real systems. Faculty don't just receive a module — they're trained to teach it confidently long after we leave.

What you get
  • Curriculum aligned to your existing courses
  • Faculty training workshops
  • Student bootcamps & hackathons
  • Indian industry case studies
  • Project & assessment design
Format options
  • Faculty workshop (1 day)
  • Student bootcamp (2 days)
  • Full semester integration
  • Ongoing industry mentorship
Discuss a college program
The outcome loop
1
Workshop runs
Faculty and students work with real AI tools on real problems
2
Understanding builds
Teams develop judgment — what AI can do, where it fails, how to evaluate it
3
Opportunities surface
Organisation spots where AI can help their own operations — admissions, compliance, procurement
4
Systems get built
Education leads to implementation — we build the systems the organisation is now ready to use
This is how education becomes implementation. Every college program is a potential systems engagement.
What your team will be able to do after
Understand
Explain what AI can and cannot do
Evaluate vendor AI claims critically
Understand LLMs, agents, and automation
Identify
Spot automation opportunities in own workflow
Prioritise by ROI, not hype
Build a business case for AI adoption
Act
Use AI tools effectively in daily work
Brief engineers or vendors accurately
Run a first AI pilot with confidence
Program 02 — Corporate

Organisations & Teams

AI capability built around your workflows.

Not awareness sessions. Real training using your tools, your processes, and examples from your industry. You leave with a prioritised action list — not a certificate of attendance.

What you get
  • AI literacy for non-technical teams
  • Automation opportunity discovery
  • Hands-on tool training
  • Use-case identification
  • AI adoption roadmap
Format options
  • Leadership workshop (half day)
  • Team training (full day)
  • 2-day intensive + pilot
  • Monthly training retainer
Discuss a corporate program
Program 03 — Founders & CTOs

Build & Ship AI in 8 Weeks

Not theory. You build a real system during the program.

A live cohort for startup founders, CTOs, and product leaders who want to ship production AI — not understand it conceptually. English-medium, global cohort, led by Rohit.

What you get
  • 8 live weekly sessions (90 min each)
  • Hands-on project — a real system you build
  • Small cohort — max 20 participants
  • Direct access to Rohit async
  • All recordings and materials
  • Post-cohort community
Who this is for
  • Startup founders adding AI to product
  • CTOs who want hands-on depth
  • Product leaders shipping AI features
  • India and global participants
Join the next cohort
What you build during the 8 weeks
1–2
Foundation & opportunity
Identify the highest-ROI AI opportunity in your company. Spec it out with real ROI estimates.
3–4
Design & architecture
Design the production system — agent architecture, integration points, error handling strategy.
5–6
Build & integrate
Connect AI to real tools and data. Handle edge cases. Build the core system with cohort support.
7–8
Deploy & operate
Ship to production. Set up monitoring. Leave with a running system, not a prototype.
Curriculum

The 8-week program — in detail.

What the founder cohort covers. Adapted based on the cohort's industry and starting point.

Wk 1–2
Wk 3–4
Wk 5–6
Wk 7–8
Week 1–2
Foundation & opportunity
How production AI actually works — not the marketing version. Where it reliably adds value and where it reliably fails. How to identify automation opportunities with real ROI estimates.
→Prioritised AI opportunity list for your company
Week 3–4
Design & architecture
How to design an AI system for production — prompt engineering, agent architecture, integration patterns, error handling. The decisions that separate production systems from demos.
→Architecture diagram and technical spec for your project
Week 5–6
Build & integrate
Hands-on building — connecting AI to real tools and data, handling edge cases, building fallback logic. You build the core of your project with direct support from Rohit and the cohort.
→Working AI system connected to real data
Week 7–8
Deploy & operate
Production deployment, monitoring setup, cost management, and how to operate an AI system long-term. What to measure, what to watch for, and how to improve it over time.
→System in production with monitoring and 90-day plan
Why RootOps for education

We teach what we actually do.

The difference between learning from someone who has read about production AI and someone who has built it.

Typical AI training
RootOps education
Result
Awareness without direction
Participants understand AI better but don't know what to do next. Training doesn't connect to specific decisions.
Result
Clear next steps. Real systems.
Every program ends with a specific output — an opportunity list, a system spec, a deployment plan. Participants know exactly what to do next.
The trainer
Has studied AI
Excellent at explaining concepts. Less experienced with the operational reality — edge cases, cost management, the things that make demos fail in production.
The trainer
Has shipped AI
0 to 300K users in 3 weeks. 6 years of production AI systems. Teaches from real experience — including what broke and why.
Context
Western examples
US and EU case studies. OpenAI announcements. Examples from Silicon Valley companies that don't reflect Indian organisations, workflows, or constraints.
Context
Indian organisations
Case studies from Indian schools, manufacturers, distributors, and startups. Built around the tools Indian teams actually use — WhatsApp, Tally, Zoho, GST workflows.
After the session
Certificate of attendance
Participants leave with good intentions and a PDF. No follow-through, no support, no path to implementation.
After the session
A path to execution
If the organisation is ready to build, we build it. Education and implementation aren't separate — they're the same conversation.
Start a program

Let's design the right program for your organisation.

Tell us who you're training and what you need them to be able to do.

We'll design the rest.

No commitment. Just a conversation about what you need.