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In this course, you will learn:
- Use your AI and machine learning basic principles to develop and program chatbots.
- In IBM Cloud, create a chatbot application that communicates with users in natural language.
- Using Watson Discovery, combine data that can be queried to extract sentiment, concepts, entities, and taxonomy.
- Using Tone Analyzer and Personality Insights, reveal the emotions, sentiment, and consumer preferences identified in hotel reviews and feed that information to the chatbot.
Syllabus:
1. Build a Watson chatbot
- Watson Assistant overview
- Deploy Watson Assistant
- Import the workspace
- Create intents, entities, and dialog
- Apply the Jump to action
- Add multiple response conditions for a specific intent
- Add responses for other intents
- Test the chatbot
2. Build queries by using Watson Discovery
- Watson Discovery overview
- Access the news collection in the Discovery tool
- Understand the data structure
- Query the data by using filters
- Query the data by using the query parameter
- Query the data by using aggregation
- Retrieve longer passages from the data
- Train Discovery to improve the relevancy
- Lab 3: Enhance a chatbot with Discovery
- Get the starter code and credentials
- Integrate Discovery with the chatbot
- Test the application
- Lab 4: Gain insights by using Discovery
- Get the data into Discovery
- Find basic insights in the data
- Lab 5: Analyze the tone from hotel reviews
- Watson Tone Analyzer overview
- Deploy the Tone Analyzer service
- Analyze the tone in hotel review
- Test the tone analysis
- Lab 6: Analyze customer preferences
- Watson Personality Insights overview
- Deploy the Personality Insights service
- Get the personality profile
- Test the application
- Final exam
