Teach Generative AI + LLM Engineering in Gurgaon — TutorsBot Instructor

You need 3+ years of hands-on Generative AI + LLM Engineering experience and to be based in or near Gurgaon. You should have built real projects using Generative AI + LLM Engineering and VS Code, worked in team environments in Gurgaon's IT sector, and can explain complex concepts clearly. The 50-minute demo evaluates your technical depth. If approved, you can start teaching Generative AI + LLM Engineering in Gurgaon within 2 weeks.

Generative AI + LLM Engineering instructors in Gurgaon earn ₹600–1200/hr for live sessions and ₹12000–30000 per batch of 8–15 students. Classroom batches in Gurgaon typically earn 10–15% more than online batches. An instructor running two Generative AI + LLM Engineering batches per month in Gurgaon earns ₹24000–60000 from batch fees alone, plus per-hour earnings and revenue share from student enrollments.

Yes. Gurgaon is one of TutorsBot's highest-enrollment cities for Generative AI + LLM Engineering training. Companies like Genpact, Capgemini, and IBM drive demand for Generative AI + LLM Engineering skills. fastest growing category in 2026 — AI/ML trainer demand up 180% YoY. We are currently short on Generative AI + LLM Engineering instructors in Gurgaon relative to enrollment demand — if you have the expertise, the timing is right.

Gurgaon students enrolling in Generative AI + LLM Engineering training are preparing to work at companies like Genpact, Capgemini, and IBM. They want instructors who have worked in Gurgaon's IT environment and understand the local hiring landscape. An instructor who has deployed Generative AI + LLM Engineering at a Gurgaon-based company can give advice that is specific to Gurgaon's job market — something no out-of-city instructor can replicate.

You choose. Online live delivery is fully supported — you teach from anywhere in Gurgaon via our integrated video platform. Classroom delivery is available at our Gurgaon training center in DLF Cyber City. Hybrid batches combine both. For Generative AI + LLM Engineering, hands-on lab work using Generative AI + LLM Engineering and VS Code is supported in both modes through pre-configured lab environments.

Yes. TutorsBot provides a curriculum framework for Generative AI + LLM Engineering covering generative AI architecture: transformers, Design and test production, LLM-powered applications with LangChain, Retrieval-Augmented Generation (RAG) with, and practical labs using Generative AI + LLM Engineering, VS Code, and Git. For Gurgaon batches, the framework is adapted to reflect local hiring patterns — the topics that Genpact and Capgemini test in interviews are weighted more heavily. You adapt it based on your teaching style.

Yes. The 50-minute demo can be conducted online or at our Gurgaon training center — your choice. You teach a 20-minute segment on a Generative AI + LLM Engineering topic of your choice, answer 15 minutes of technical questions from our academic team, and discuss your teaching approach and Gurgaon availability. You receive feedback within 48 hours.

Generative AI + LLM Engineering batches in Gurgaon run on weekday evenings (7 PM–9 PM), weekends (Saturday/Sunday, 9 AM–1 PM or 2 PM–6 PM), and weekday mornings (9 AM–12 PM). You choose your preferred schedule during onboarding. Most instructors who are currently employed in Gurgaon run evening or weekend batches alongside their primary job.

Batch earnings are paid within 7 business days of batch completion via bank transfer. Per-hour earnings are paid monthly. Revenue share from student enrollments is paid quarterly. TDS is deducted as required by Indian tax law. There are no platform fees or LMS charges deducted from your earnings.

The typical timeline is 2 weeks from application to first batch. Application review takes 48 hours. If your profile matches, the demo is scheduled within 5 business days. After a successful demo, onboarding takes 3–5 business days. Your first Gurgaon Generative AI + LLM Engineering batch is then scheduled based on your availability and current student demand.