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.
ofrecido por
IBMAcerca de este Curso
20,793 vistas recientes
Fechas límite flexibles
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Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Nivel intermedio
Aprox. 13 horas para completar
Inglés (English)
Subtítulos: Francés (French), Portugués (europeo), Coreano, Ruso (Russian), Inglés (English), Español (Spanish)
Habilidades que obtendrás
Artifical IntelligenceMachine LearningPython ProgrammingWatson AIChatbot
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Nivel intermedio
Aprox. 13 horas para completar
Inglés (English)
Subtítulos: Francés (French), Portugués (europeo), Coreano, Ruso (Russian), Inglés (English), Español (Spanish)
ofrecido por
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.
Programa - Qué aprenderás en este curso
1 hora para completar
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.
1 hora para completar
3 videos (Total 8 minutos), 3 lecturas, 1 cuestionario
1 hora para completar
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.
1 hora para completar
2 videos (Total 13 minutos), 1 lectura, 1 cuestionario
1 hora para completar
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.
1 hora para completar
3 videos (Total 16 minutos), 1 lectura, 1 cuestionario
1 hora para completar
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 hora para completar
2 videos (Total 9 minutos), 1 lectura, 1 cuestionario
Reseñas
Principales reseñas sobre BUILDING AI APPLICATIONS WITH WATSON APIS
por GM6 de oct. de 2019
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.
por KB30 de ene. de 2021
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.
por MB11 de jun. de 2020
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.
por RY3 de ene. de 2021
Very useful and practical course in applying AI functionality (e.g., Text2Speech, Speech2Text, Data Analysis and Metadata) with minimal programing (by leveraging APIs).
Preguntas Frecuentes
¿Cuándo podré acceder a las lecciones y tareas?
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¿Recibiré crédito universitario por completar el Curso?
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