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RAG & AI Chatbot Development Course

Chatbots that actually know your business — grounded answers from your documents, deployed where users are.

Quick Answer

RAG (Retrieval-Augmented Generation) lets AI answer questions using your own documents instead of guessing from general training. This LIVE course teaches building such chatbots end-to-end: document processing, vector search, response guarding and deployment.

  • Instructor-led LIVE classes
  • Practical projects
  • Pan-India online
  • Beginner-friendly paths
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About this program

Ask a plain language model about your refund policy and it invents something plausible. Feed the right paragraph before asking — retrieval-augmented generation — and it answers accurately with sources. That single architectural idea powers most serious business AI deployments today.

This course takes you from naive chatbot disappointment to dependable assistants: ingesting messy real documents, retrieving the right context, resisting prompt injection, measuring answer quality, and shipping to channels users actually inhabit.

What you will learn

  • RAG architecture design
  • Chunking strategies
  • Embeddings and vector search
  • Grounded prompting
  • Guardrail engineering
  • Evaluation and tuning

Course curriculum

A structured progression across 8 modules — each combining live teaching, guided practice and review. Topic emphasis is tuned per batch to current tool versions.

  1. 01

    Why Chatbots Disappoint

    • Hallucination mechanics and business risk
    • Intent-tree bots vs LLM bots vs hybrid reality
    • Anatomy of RAG: retrieve, augment, generate
  2. 02

    Knowledge Ingestion

    • Document variety: PDFs, sites, helpdesks, sheets
    • Cleaning and normalising source material
    • Chunking strategies: size, overlap, structure-aware splits
  3. 03

    Embeddings and Vector Search

    • What embeddings capture, intuitively
    • Similarity search walkthrough with real vectors
    • Metadata filtering and hybrid keyword+vector retrieval
  4. 04

    Grounded Generation

    • Context assembly budgets and ordering effects
    • Citation-forcing prompts and refusal design
    • Multi-turn conversations without context rot
  5. 05

    Guardrails and Abuse Resistance

    • Input validation and injection resistance layers
    • Scope fences: politely refusing out-of-domain asks
    • PII handling and response policies
  6. 06

    Evaluation Loops

    • Golden question sets and graded scoring rubrics
    • Retrieval metrics vs answer metrics
    • Iterating chunking/models based on failure analysis
  7. 07

    Deployment Channels

    • Website widget integration patterns
    • Messaging-channel considerations (WhatsApp Business contextually)
    • Handoff design to human agents mid-conversation
  8. 08

    Operations and Improvement

    • Logging conversations for insight mining
    • Knowledge freshness pipelines
    • Capstone: domain chatbot with evaluation report presented live

Practical projects you build

These become portfolio pieces — evidence of skill for employers and clients.

  • 1

    HR-policy assistant answering employee questions with citations

  • 2

    Product-catalogue bot for a fictional D2C brand with order-status scope

  • 3

    Academic-regulations helper for a college portal scenario

  • 4

    Multilingual FAQ assistant handling two Indian languages

Benefits after completing

What changes once you apply these skills consistently.

  • Most-requested enterprise AI skill made concrete

  • Reusable pipeline applicable to any knowledge domain

  • Evaluation discipline distinguishing professionals from tinkerers

  • Deployment experience spanning web and messaging surfaces

Career applications

Applied AI / LLM engineer pathway roles Consulting implementations for SMEs and institutes Product engineering teams adding assistant features Automation agencies upselling sophisticated bots

Outcomes depend on individual effort and market conditions — we prepare skills, never sell guaranteed placements.

Trainer Experience

Learn from people who do the work

Training is delivered by industry-experienced professionals with 10+ years of practical experience. Sessions include real demonstrations, honest trade-off discussions and feedback shaped by production realities.

LIVE Online Training Details

What every session includes

  • Instructor-led LIVE sessionsInteractive video classes — ask, practise, clarify instantly.
  • Practical demonstrationsWatch real builds happen on screen, step by step.
  • Doubt solvingQuestions answered during class and through batch support.
  • Guided projectsAssignments reviewed by instructors with specific feedback.
  • Accessible pan-IndiaAttend from home or office anywhere in India — no centre needed.

Frequently asked questions

Specific answers about this program. Anything else — WhatsApp us, we reply.

Moderate. Core exercises work through notebooks/scripts with provided templates you modify meaningfully. Strong no-code practitioners can complete guided paths using platform-based stacks, though code comfort unlocks the deepest control.

Interested in RAG & AI Chatbot Development Course?

Share your details — our counselling team will share batch schedules, fee structure and arrange your free demo class.

Request a Call Back

Share your details and our counselling team will contact you with batch details and a free demo.

Prefer instant answers? Chat on WhatsApp  or  call +91 81888 77720.

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