AI Chatbot Building with Rasa or Dialogflow

Categories: Corporate Training

About Course

Dive into the world of conversational AI with this hands-on course designed to teach you how to build intelligent chatbots using two of the leading platforms: Rasa and Dialogflow. Whether you’re a developer, business professional, or AI enthusiast, this course will equip you with the skills to create powerful, context-aware chatbots that can understand and respond to user inputs naturally.

You’ll start by exploring the fundamentals of chatbot architecture, natural language processing (NLP), and intent recognition. Then, you will learn how to build, train, and deploy chatbots on both Rasa — an open-source conversational AI framework — and Dialogflow, Google’s cloud-based chatbot development platform.

By the end of this course, you will have developed fully functional chatbots capable of handling complex conversations, integrating with various APIs, and enhancing user engagement across multiple channels such as websites, messaging apps, and voice assistants.

Understand the fundamentals of conversational AI and chatbot technology
Build intelligent chatbots using Rasa, including intent recognition, entity extraction, and dialogue management
Develop chatbots with Dialogflow, managing intents, contexts, and fulfillment integration
Design multi-turn conversations that handle complex user interactions naturally
Integrate chatbots with APIs and external services to extend functionality
Deploy chatbots on multiple platforms such as websites, messaging apps, and voice assistants
Test, debug, and optimize chatbot performance for better user experience
Apply best practices for chatbot design, including error handling and conversation flow
Analyze chatbot interactions using analytics to continuously improve responses and accuracy

Course Content

Module 1: Introduction to Chatbots and Conversational AI
What is a Chatbot? Overview of Conversational AI Types of Chatbots: Rule-based vs AI-powered Use cases and industry applications

Module 2: Fundamentals of Natural Language Processing (NLP)
Basics of NLP for Chatbots Intents, Entities, and Contexts Understanding User Inputs

Module 3: Getting Started with Rasa
Introduction to Rasa Framework Setting up the Rasa environment Creating intents and entities Designing stories and dialogue flows Training the Rasa model Custom actions and API integration

Module 4: Building Chatbots with Dialogflow
Overview of Dialogflow Console Creating agents, intents, and entities Using contexts for conversation management Setting up fulfillment and webhook integration Dialogflow CX vs ES: Features and differences Integrating Dialogflow with popular platforms

Module 5: Advanced Features and Best Practices
Multi-turn conversations and slot filling Handling ambiguous queries and errors Using external APIs to enhance chatbot capabilities Testing and debugging chatbots

Module 6: Deployment and Integration
Deploying chatbots on websites and messaging apps Connecting to platforms like Facebook Messenger, WhatsApp, Slack Monitoring chatbot performance and analytics

Module 7: Final Project
Build and deploy a fully functional chatbot using Rasa or Dialogflow Incorporate advanced features like custom actions or fulfillment Present and review project

AI Chatbot Building with Rasa or Dialogflow

About Course

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What Will You Learn?

Course Content

Module 1: Introduction to Chatbots and Conversational AI
What is a Chatbot? Overview of Conversational AI Types of Chatbots: Rule-based vs AI-powered Use cases and industry applications

Module 2: Fundamentals of Natural Language Processing (NLP)
Basics of NLP for Chatbots Intents, Entities, and Contexts Understanding User Inputs

Module 3: Getting Started with Rasa
Introduction to Rasa Framework Setting up the Rasa environment Creating intents and entities Designing stories and dialogue flows Training the Rasa model Custom actions and API integration

Module 4: Building Chatbots with Dialogflow
Overview of Dialogflow Console Creating agents, intents, and entities Using contexts for conversation management Setting up fulfillment and webhook integration Dialogflow CX vs ES: Features and differences Integrating Dialogflow with popular platforms

Module 5: Advanced Features and Best Practices
Multi-turn conversations and slot filling Handling ambiguous queries and errors Using external APIs to enhance chatbot capabilities Testing and debugging chatbots

Module 6: Deployment and Integration
Deploying chatbots on websites and messaging apps Connecting to platforms like Facebook Messenger, WhatsApp, Slack Monitoring chatbot performance and analytics

Module 7: Final Project
Build and deploy a fully functional chatbot using Rasa or Dialogflow Incorporate advanced features like custom actions or fulfillment Present and review project

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About Course

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What Will You Learn?

Course Content

Module 1: Introduction to Chatbots and Conversational AI What is a Chatbot? Overview of Conversational AI Types of Chatbots: Rule-based vs AI-powered Use cases and industry applications

Module 2: Fundamentals of Natural Language Processing (NLP) Basics of NLP for Chatbots Intents, Entities, and Contexts Understanding User Inputs

Module 3: Getting Started with Rasa Introduction to Rasa Framework Setting up the Rasa environment Creating intents and entities Designing stories and dialogue flows Training the Rasa model Custom actions and API integration

Module 4: Building Chatbots with Dialogflow Overview of Dialogflow Console Creating agents, intents, and entities Using contexts for conversation management Setting up fulfillment and webhook integration Dialogflow CX vs ES: Features and differences Integrating Dialogflow with popular platforms

Module 5: Advanced Features and Best Practices Multi-turn conversations and slot filling Handling ambiguous queries and errors Using external APIs to enhance chatbot capabilities Testing and debugging chatbots

Module 6: Deployment and Integration Deploying chatbots on websites and messaging apps Connecting to platforms like Facebook Messenger, WhatsApp, Slack Monitoring chatbot performance and analytics

Module 7: Final Project Build and deploy a fully functional chatbot using Rasa or Dialogflow Incorporate advanced features like custom actions or fulfillment Present and review project

Trending Courses

Trending College Workshops

Company

Contact

Categories

Module 1: Introduction to Chatbots and Conversational AI
What is a Chatbot? Overview of Conversational AI Types of Chatbots: Rule-based vs AI-powered Use cases and industry applications

Module 2: Fundamentals of Natural Language Processing (NLP)
Basics of NLP for Chatbots Intents, Entities, and Contexts Understanding User Inputs

Module 3: Getting Started with Rasa
Introduction to Rasa Framework Setting up the Rasa environment Creating intents and entities Designing stories and dialogue flows Training the Rasa model Custom actions and API integration

Module 4: Building Chatbots with Dialogflow
Overview of Dialogflow Console Creating agents, intents, and entities Using contexts for conversation management Setting up fulfillment and webhook integration Dialogflow CX vs ES: Features and differences Integrating Dialogflow with popular platforms

Module 5: Advanced Features and Best Practices
Multi-turn conversations and slot filling Handling ambiguous queries and errors Using external APIs to enhance chatbot capabilities Testing and debugging chatbots

Module 6: Deployment and Integration
Deploying chatbots on websites and messaging apps Connecting to platforms like Facebook Messenger, WhatsApp, Slack Monitoring chatbot performance and analytics

Module 7: Final Project
Build and deploy a fully functional chatbot using Rasa or Dialogflow Incorporate advanced features like custom actions or fulfillment Present and review project