Learning path: Getting started with Watson Assistant

Learn about:

• What is Watson Assistant?
• Typical architectures to follow
• Watson Assistant terminology

Learn about:

• Creating an assistant
• Adding a skill with intents, entities, and a dialog
• Creating a sample app

Learn about:

• Creating a simple chatbot using Node.js and Watson Assistant
• Using Watson Assistant Slots to fill out required data
• Using slots handlers to handle conversation flow that does not fit into slots

Learn about:

• Creating a chatbot that converses through a web UI using Watson Assistant and Node.js
• Using Watson Discovery with passage retrieval to find answers in FAQ documents
• Using Watson Tone Analyzer to detect emotion in a conversation
• Identifying entities with Watson Natural Language Understanding

Learn about:

• Making a Watson Speech To Text call using a WebSocket connection
• Making a Watson Text to Speech REST API call
• Sending and receiving messages to and from Watson Assistant using REST APIs
• Integrating Watson Speech To Text, Watson Text To Speech, and Watson Assistant in a web app

Learn about:

• Creating a Google Assistant Action that calls out to an HTTPS endpoint
• Launching a Node.js server that can interact with the Google Assistant requests and send responses from Watson Assistant
• Using Watson Assistant to create a retail agent that can have a conversation to gather the information needed to make a reservation

Learn about:

• Creating an OpenWhisk action in the IBM Cloud Functions serverless platform
• Using Redis to store a session’s conversation context across events
• Importing a conversation from the BAE or a JSON file
• Invoking a conversation with Watson using Node.js
• Using The Weather Channel data service to look up locations and forecasts
• Creating an Alexa skill to reach tens of millions of customers