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.
提供方
IBM課程信息
16,822 次近期查看
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完成後獲得證書
100% 在線
立即開始，按照自己的計劃學習。
中級
完成時間大約為17 小時
英語（English）
字幕：法語（French）, （歐洲人講的）葡萄牙語, 韓語, 俄語（Russian）, 英語（English）, 西班牙語（Spanish）
您將獲得的技能
Artifical IntelligenceMachine LearningPython ProgrammingWatson AIChatbot
可靈活調整截止日期
根據您的日程表重置截止日期。
可分享的證書
完成後獲得證書
100% 在線
立即開始，按照自己的計劃學習。
中級
完成時間大約為17 小時
英語（English）
字幕：法語（French）, （歐洲人講的）葡萄牙語, 韓語, 俄語（Russian）, 英語（English）, 西班牙語（Spanish）
提供方
IBM
IBM is the global leader in business transformation through an open hybrid cloud platform and AI, serving clients in more than 170 countries around the world. Today 47 of the Fortune 50 Companies rely on the IBM Cloud to run their business, and IBM Watson enterprise AI is hard at work in more than 30,000 engagements. IBM is also one of the world’s most vital corporate research organizations, with 28 consecutive years of patent leadership. Above all, guided by principles for trust and transparency and support for a more inclusive society, IBM is committed to being a responsible technology innovator and a force for good in the world.
授課大綱 - 您將從這門課程中學到什麼
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.
完成時間為 2 小時
3 個視頻 （總計 8 分鐘）, 3 個閱讀材料, 1 個測驗
完成時間為 1 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.
完成時間為 1 小時
2 個視頻 （總計 13 分鐘）, 1 個閱讀材料, 1 個測驗
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.
完成時間為 3 小時
3 個視頻 （總計 16 分鐘）, 1 個閱讀材料, 3 個測驗
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.
完成時間為 2 小時
2 個視頻 （總計 9 分鐘）, 1 個閱讀材料, 2 個測驗
審閱
來自BUILDING AI APPLICATIONS WITH WATSON APIS的熱門評論
由 GM 提供2019年10月6日
Good but this course had updated on the go .. as people provided several steps.. better to open a course when everything is in place.. though I learned a lot and was great experience in the end.
由 KB 提供2021年1月30日
Good class I learned a lot. There were a lot of hidden information needed to do the final lab that was never explained in the course. I wish they had covered these areas in the teachings.
由 MB 提供2020年6月11日
some instructions were a bit vague and caused some problems in setting up the APIs, but on the other hand this enabled me to get to know the API and the integration process more.
由 RY 提供2021年1月3日
Very useful and practical course in applying AI functionality (e.g., Text2Speech, Speech2Text, Data Analysis and Metadata) with minimal programing (by leveraging APIs).
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