• Developers interested in creating chatbots or voice assistants.
• Business analysts looking to implement conversational AI solutions.
• Technical managers overseeing chatbot implementation projects.

• Basic familiarity with programming concepts and REST APIs is recommended but not mandatory.

Course Outline:

• Module 1: Overview of Conversational AI
  • What is Conversational AI?
  • Introduction to Dialogflow and its features.
  • Use cases and applications.
• Module 2: Getting Started with Dialogflow
  • Setting up a Dialogflow project.
  • Understanding agents, intents, and entities.
  • Creating your first Dialogflow agent.
• Module 3: Designing Conversations
  • Understanding user intents and responses.
  • Working with pre-built and custom entities.
  • Building conversation flows using contexts.

Day 2: Advanced Dialogflow Features

• Module 4: Enhancing Conversations
  • Using follow-up intents and slot filling.
  • Handling user input variations and fallback intents.
  • Implementing advanced context management.
• Module 5: Integrations and APIs
  • Connecting Dialogflow to messaging platforms (e.g., Slack, WhatsApp).
  • Introduction to fulfillment and webhooks.
  • Creating dynamic responses using external APIs.
• Module 6: Hands-On Project (Part 1)
  • Design and implement a basic chatbot for a specific use case.

Day 3: Testing, Optimization, and Deployment

• Module 7: Testing and Debugging
  • Using the Dialogflow simulator.
  • Best practices for testing conversational applications.
  • Troubleshooting common issues.
• Module 8: Optimizing Conversational AI
  • Leveraging analytics and insights.
  • Improving chatbot performance with user feedback.
• Module 9: Deployment and Maintenance
  • Deploying chatbots to production.
  • Maintaining and updating Dialogflow agents.
  • Security considerations in chatbot implementation.
• Module 10: Hands-On Project (Part 2)
  • Enhance the project from Day 2 with advanced features and deploy it.

Training material provided: Yes (Digital format)