Join Coding Now – Gurukul of AI. Master advanced prompting techniques, RAG, system prompts, structured outputs & function calling. The most comprehensive Prompt Engineering program in Rohini. Batch July 2026.
Prompt Engineering is the discipline of designing and optimizing inputs to guide LLMs to produce accurate, reliable, and useful outputs. Companies are paying ₹12–25 LPA for professionals who can master this skill.
Uses ChatGPT and other tools with simple prompts. Limited to what the UI offers. No customization or reliability.
Designs structured prompts, uses chain-of-thought, builds RAG systems, crafts system prompts, and ensures reliable, production-grade outputs.
From basic AI usage to expert-level language model control.
Master structured reasoning techniques to guide LLMs through complex logical and analytical tasks with step-by-step prompts.
Use example-based and instruction-only prompting to get reliable, consistent outputs without fine-tuning.
Build knowledge-grounded AI systems by combining LLMs with external document retrieval for accurate, factual responses.
Craft robust system-level instructions using role assignment, context injection, and persona design to consistently shape model behavior.
Use structured output techniques, function calling, and schema-guided prompting to extract reliable, machine-readable data from LLMs.
Build systematic evaluation frameworks using prompt versioning, A/B testing, and LLM evaluation metrics to continuously improve output quality.
4-month intensive program at Coding Now Rohini. Build 5 production-grade prompt engineering applications.
| Module | Topics Covered | Duration |
|---|---|---|
| Module 1 LLM Fundamentals | Transformer architecture basics, tokenization, temperature, top-p, frequency penalty, model behavior | 1 Week |
| Module 2 Core Prompting Techniques | Zero-shot, few-shot, role-based prompting, persona design, and prompt patterns | 2 Weeks |
| Module 3 Chain-of-Thought & Reasoning | Chain-of-thought, tree-of-thought, self-consistency, and advanced reasoning architectures | 2 Weeks |
| Module 4 System Prompts & Context | System-level instruction design, context window management, multi-turn conversation design | 1 Week |
| Module 5 Structured Outputs & Function Calling | JSON mode, schema prompting, function calling, output validation, error handling | 2 Weeks |
| Module 6 Retrieval-Augmented Generation (RAG) | Vector databases, embeddings, building a RAG pipeline, document retrieval | 2 Weeks |
| Module 7 Prompt Debugging & Testing | Prompt versioning, A/B testing, LLM evaluation metrics (BLEU, ROUGE), human eval frameworks | 2 Weeks |
| Module 8 Multi-Modal Prompting | Image + text prompting, vision-language models (GPT-4o, Claude 3), document analysis | 1 Week |
| Module 9 Agentic AI & Automation | Building AI agents with LangChain, AutoGen, CrewAI, multi-agent orchestration | 2 Weeks |
| Module 10 Capstone Project | End-to-end production-ready AI application using advanced prompt engineering techniques | 3 Weeks |
Every student builds and deploys 5 production-grade prompt engineering applications during the course.
Build a multi-turn chatbot with system prompts, memory, and RAG for company knowledge base with reliable, factual responses.
Create a RAG pipeline that ingests PDFs and documents, retrieves relevant information, and generates accurate answers with citations.
Build a system that extracts structured JSON data from unstructured text using schema prompting and function calling.
Create an autonomous agent using LangChain that can browse the web, use tools, and complete multi-step tasks independently.
Prompt Engineering course location — Rohini. Excellent metro connectivity.
Everything about the Prompt Engineering course in Rohini, Delhi.
Join the best Prompt Engineering course in Rohini. Batch starts July 2026 — only 20 seats per batch. Book your free demo today.
Rohini, New Delhi – 110085
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