Conversational AI Training
Chatbots and voice assistants people actually enjoy using.
Learn to design and build task-oriented conversational experiences — from understanding user intent to managing multi-turn dialogue — and deploy them across chat and voice channels for real businesses.
Design conversations, not just canned replies
A good conversational experience isn't a decision tree of canned replies — it understands what the user means, keeps track of context across turns, and knows when to hand off to a human. That's a distinct discipline combining NLU, dialogue design, and increasingly, LLMs.
This program covers the full path: intent and entity recognition, dialogue management, voice interfaces, and integrating your bot into real channels like WhatsApp and web widgets — with a strong focus on conversation design, not just the underlying models.
What you will learn
The design and engineering skills behind conversational experiences that don't frustrate users.
Conversation Design Principles
Map user journeys, design fallback paths, and write dialogue that feels natural.
Intent & Entity Recognition
Classify what users want and extract the details needed to act on it.
Dialogue Management
Track context and state across multi-turn conversations reliably.
Voice Interfaces
Work with speech-to-text and text-to-speech to build voice-first experiences.
Channel Integration
Deploy bots to WhatsApp, web widgets, and other messaging channels.
Testing & Analytics
Test conversation flows and use analytics to find and fix drop-off points.
Technologies & tools covered
Training roadmap
From conversation design fundamentals to a deployed, multi-channel assistant.
01. Conversational Design Foundations
2 Weeks- Conversation flows
- User journey mapping
- Intents & entities
- Fallback handling
02. Natural Language Understanding
2 Weeks- Intent classification
- Entity extraction
- Slot filling
- Multi-turn context
03. Dialogue Management
2 Weeks- State & context tracking
- Dialogue policies
- LLM-assisted responses
- Personalization
04. Voice Interfaces
1 Week- Speech-to-text
- Text-to-speech
- Voice UX considerations
05. Channel Integration & Backend Hooks
2 Weeks- WhatsApp & web widgets
- Webhooks
- API integration
- Auth handoff
06. Testing, Analytics & Capstone
1 Week- Conversation testing
- Drop-off analytics
- Final project demo
Real-world projects you'll build
Assistants modeled on the kind of support and sales bots real businesses run.
E-commerce Support Chatbot
A chatbot that handles order status, returns, and common FAQs end to end.
Voice-enabled Appointment Assistant
A voice assistant that books and reschedules appointments through natural conversation.
Multi-channel Lead Qualification Bot
A bot that qualifies inbound leads consistently across web chat and WhatsApp.
Internship & industrial exposure
Real Business Use Cases
Work on chatbot briefs modeled after real support and sales requirements.
Mentor Reviews on Conversation Flows
Get direct feedback on dialogue design from practicing conversational AI builders.
Iterative Testing Practice
Practice the test-refine-redeploy loop real conversational AI teams use.
Learning methodology
Design-then-build Workflow
Every bot starts with a conversation design pass before any code is written.
1:1 Mentorship
Weekly sessions with a mentor to review your flows and unblock you.
Applied Assessments
Evaluated on working conversation flows, not theory quizzes.
Eligibility
Any Educational Background
Open to students, developers, and career switchers interested in conversational products.
Basic Python Helpful
Some familiarity with Python speeds up the technical modules, but isn't mandatory to start.
No Prior NLU Experience Required
We teach intent and entity recognition concepts from scratch.
Consistent Time Commitment
8–10 hours a week for design practice and building.
Career opportunities
Conversational AI Developer
Build and maintain chatbot and voice assistant products.
Chatbot Engineer
Focus on the technical implementation of NLU and dialogue systems.
Voice AI Developer
Specialize in speech-driven interfaces and voice UX.
Conversation Designer
Own the dialogue design and user journey for AI assistants.
NLU Engineer
Build and tune intent and entity recognition models.
Freelance Chatbot Developer
Deliver custom conversational assistants for clients.
Why choose YashOrbit
Design-first Curriculum
Conversation design is taught as a core skill, not an afterthought to the tech.
Placement Assistance
Resume reviews, mock interviews, and referrals to hiring partners.
Real Deployment Experience
Every bot is deployed to a real channel, not just a local test console.
Frequently asked questions
No. We use existing NLU tools and LLM APIs rather than training models from scratch, so the focus stays on design and integration skills.
Ready to design conversations people actually enjoy?
Join the next batch and build deployed chatbot and voice assistant experiences from scratch.