A learner will be able to write an application that leverages multiple Watson AI services (Discovery, Speech to Text, Assistant, and Text to Speech). By the end of the course, they’ll learn best practices of combining Watson services, and how they can build interactive information retrieval systems with Discovery + Assistant.
教學大綱 - 您將從這門課程中學到什麼
週
1完成時間為 2 小時
Module 1: Introduction
In this module, we'll discuss the course prerequisites, scope, and the technologies that we'll be using. We'll also get you set up for using key Watson services on the IBM Cloud.
2 個視頻 （總計 6 分鐘）, 4 個閱讀材料, 1 個測驗
4 個閱讀材料
General Information5分鐘
Syllabus10分鐘
Lab 1: Creating Watson Instances1小時
What's Next2分鐘
1 個練習
Quiz 1 - Introduction20分鐘
完成時間為 2 小時
Module 2: Watson Discovery
In this module, you'll learn about Watson Discovery, a great tool to extract insight from large volumes of unstructured data. You'll also learn about how integration between Watson Assistant and Discovery works in principle.
2 個視頻 （總計 10 分鐘）, 2 個閱讀材料, 1 個測驗
2 個閱讀材料
Lab 2: Creating a Discovery Collection1小時
What's Next2分鐘
1 個練習
Quiz 2 - Watson Discovery20分鐘
週
2完成時間為 3 小時
Module 3: Building the Chatbot
In this module, we'll start to create a student advisor chatbot by leveraging Watson Assistant. We'll then use IBM Cloud Functions to integrate it with Watson Discovery.
3 個閱讀材料, 1 個測驗
3 個閱讀材料
Lab 3: Creating a Chatbot1小時
Lab 4: Adding Discovery to the Chatbot2小時
What's Next3分鐘
1 個練習
Quiz 3 - Integrating Assistant and Discovery20分鐘
週
3完成時間為 2 小時
Module 4: Giving it a Voice
In this module, you'll learn about the various options available to enable interaction with your chatbot via audio rather than textual means. In the labs, you'll work on integrating Watson Assistant with Watson Speech APIs.
1 個視頻 （總計 6 分鐘）, 3 個閱讀材料, 1 個測驗
1 個視頻
3 個閱讀材料
Lab 5: Adding Speech to Text1小時
Lab 6: Adding Text to Speech30分鐘
What's Next2分鐘
1 個練習
Quiz 4 - Speech APIs20分鐘
週
4完成時間為 2 小時
Module 5: Deployment
This module will teach you how to deploy your chatbot to various channels, including Facebook Messenger and Slack.
1 個視頻 （總計 5 分鐘）, 3 個閱讀材料, 1 個測驗
1 個視頻
3 個閱讀材料
Lab 7: Deploying to Facebook Messenger1小時
Lab 8: Deploying to Slack1小時
What's Next3分鐘
1 個練習
Quiz 5 - Deployment20分鐘
講師
Antonio Cangiano
Software Developer and Technical EvangelistIBM Developer Skills Network
Tanmay Bakshi
AI Evangelist & Watson Developer關於 IBM
IBM offers a wide range of technology and consulting services; a broad portfolio of middleware for collaboration, predictive analytics, software development and systems management; and the world's most advanced servers and supercomputers. Utilizing its business consulting, technology and R&D expertise, IBM helps clients become "smarter" as the planet becomes more digitally interconnected. IBM invests more than $6 billion a year in R&D, just completing its 21st year of patent leadership. IBM Research has received recognition beyond any commercial technology research organization and is home to 5 Nobel Laureates, 9 US National Medals of Technology, 5 US National Medals of Science, 6 Turing Awards, and 10 Inductees in US Inventors Hall of Fame.
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