AI Chatbot
A production-style chatbot with clear prompts, guardrails, and conversation UX.
PythonOpenAI APIsPrompt Engineering
AI Engineering Track
AI Engineering
Build modern AI-powered applications using Large Language Models, RAG, and Agentic AI-grounded in real engineering workflows.
₹7,499
4 Live Classes / Week
2 Months
Next batch starts soon - limited seats
+ ₹500 One-time Non-Refundable Seat Booking
Fees & Registration
₹7,499
+ ₹500 One-time Non-Refundable Seat Booking
4 Live Classes / Week2 Months
Seat booking (non-refundable)₹500
Course fee₹7,499
- Mentored by engineers with 8+ years of industry experience
- Production-grade projects with GitHub workflow & code reviews
- Portfolio, GitHub profile, and interview preparation support
- LLMs, embeddings, vector databases, and RAG systems
Next batch starts soon - limited seats
Tools & technologies you'll master
PythonPrompt EngineeringOpenAI APIsLLMsEmbeddingsVector DatabasesLangChainRAGAI AgentsFunction CallingMemoryEvaluationDeployment
Curriculum breakdown
4 modules across 2 Months - every module ends with a hands-on engineering lab reviewed by your mentor.
- Python tooling for AI application development
- Prompt engineering patterns and OpenAI API usage
- Model behavior, safety basics, and iteration loops
- Lab: build a reliable conversational prototype
- Embeddings and vector database fundamentals
- Retrieval-Augmented Generation (RAG) architecture
- LangChain building blocks for document Q&A
- Lab: ship a knowledge assistant over your own corpus
- Agent loops, function calling, and tool use
- Memory strategies for multi-step workflows
- Evaluation methods for quality and reliability
- Lab: build an agent that completes a real task
- Deploying AI applications with production constraints
- Capstone project with mentor review
- Interview readiness for AI engineering conversations
Hands-on projects you'll ship
Production-style apps for your portfolio - not tutorial clones.
Resume Analyzer
An LLM workflow that extracts insights and structured feedback from resumes.
LLMsPythonEvaluation
Knowledge Assistant
A RAG system over documents with retrieval quality you can demonstrate.
RAGEmbeddingsVector DatabasesLangChain
AI Agent
An agent that uses tools via function calling to complete multi-step tasks.
AI AgentsFunction CallingMemory
Document Q&A
Ask questions over PDFs or docs with grounded answers and evaluation checks.
RAGLangChainDeployment
Who is this for?
- Students and graduates targeting AI engineering roles
- Backend / full-stack engineers adding LLM product skills
- Professionals building chatbots, assistants, and agent workflows
Academic compliance
Need an official industrial training / project completion certificate for your department? This program is structured to meet submission requirements at:
SRHU
Graphic Era (GEU / GEHU)
DIT University
UPES
BFIT
DBS
Uttaranchal University
Dev Bhoomi
HIT
Other local engineering colleges
Frequently asked questions
Course fee is ₹7,499 plus a one-time non-refundable ₹500 seat booking fee.
Python familiarity helps. We teach prompt engineering, RAG, and agents from practical foundations.
No. Every module includes hands-on builds-chatbots, RAG systems, agents-and mentor code reviews.
No. We help you graduate interview-ready with projects and portfolio evidence. We do not guarantee jobs.