HomePushpjeet Cholkar

Cloud & AI/ML Consultant · Corporate Trainer · Indore, India

Training for USA

RAG & LLM Applications training (live)

Build a working retrieval-augmented application over real documents: chunking, embeddings, vector stores, prompt design, evaluation, and what breaks in production.

Live virtual · Intermediate · Needs Python basics · Fee on request · Dates soon — enquire

What you build

• End-to-end RAG over your own PDFs or document set
• Chunking strategies and why bad chunks produce confident wrong answers
• Embeddings and vector store choices without vendor theatre
• Prompt design that stays grounded in retrieved context
• Evaluation — measuring usefulness, not only answer similarity
• Production failure modes: cost, latency, permissions, prompt injection from retrieved text

Taught live by Pushpjeet Cholkar. Same engineering background as the AI/ML & RAG consulting work: seventeen years at the data layer for clients including Deutsche Bank, IBM, Wipro, Accenture, Capgemini and Oracle University.

Prerequisites

Python basics are required. You should be comfortable reading and writing simple scripts, installing packages and running code in a terminal or notebook. You do not need prior ML or LLM experience.

Corporate and open formats

Corporate cohorts can use your documents and cloud accounts. Open batches stay small enough that questions get answered in session — live, with room to interrupt mid-lab. Dates soon — enquire for the next opening. From the USA? Anyone in the USA can join live online, scheduled in your US time zone.

Related pages

• RAG vs fine-tuning: which should you use? (free decision guide)
• AI/ML & RAG consultant
• AWS Solutions Architect training
• AWS S3 — From Zero to Pro (new batches start every Monday)
• pushpjeet.com — free AI fundamentals material and other live batches

Join or scope a cohort

Say whether you are an individual or booking for a team, and your Python comfort level. WhatsApp is fastest.