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.
Este curso forma parte de Certificado profesional de IBM Applied AI
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Acerca de este Curso
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Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Curso 5 de 6 en
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Nivel intermedio
Aprox. 19 horas para completar
Inglés (English)
Subtítulos: Inglés (English), Coreano
Habilidades que obtendrás
Artifical IntelligenceMachine LearningPython ProgrammingWatson AIChatbot
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Curso 5 de 6 en
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Nivel intermedio
Aprox. 19 horas para completar
Inglés (English)
Subtítulos: Inglés (English), Coreano
ofrecido por
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.
Programa - Qué aprenderás en este curso
2 horas 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.
2 horas para completar
3 videos (Total 8 minutos), 4 lecturas, 1 cuestionario
4 lecturas
General Information5m
Syllabus10m
Lab 1: Creating Watson Instances1h
What's Next2m
1 ejercicio de práctica
Quiz 1 - Introduction20m
2 horas 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.
2 horas para completar
2 videos (Total 13 minutos), 2 lecturas, 1 cuestionario
2 lecturas
Lab 2: Creating a Discovery Collection1h
What's Next2m
1 ejercicio de práctica
Quiz 2 - Watson Discovery20m
4 horas 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.
4 horas para completar
3 videos (Total 16 minutos), 3 lecturas, 1 cuestionario
3 videos
Creating a Chatbot with Watson Assistant6m
Adding Discovery to the Chatbot5m
3 lecturas
Lab 3: Creating a Chatbot1h
Lab 4: Adding Discovery to the Chatbot2h
What's Next3m
1 ejercicio de práctica
Quiz 3 - Integrating Assistant and Discovery20m
2 horas 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.
2 horas para completar
2 videos (Total 9 minutos), 2 lecturas, 1 cuestionario
2 lecturas
Lab 5: Adding Speech Services1h
What's Next2m
1 ejercicio de práctica
Quiz 4 - Speech APIs20m
Revisiones
Principales revisiones 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 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 JM22 de nov. de 2019
Should update the Final assigment, to make sure when making the second discovery collection to leave the serverless empty on intent and collectionId
por PS26 de jul. de 2020
a little challenging, some aspects where error could have been made weren't cleared. But learnt many many skills, thus very helpful in the future
Acerca de Certificado profesional de IBM Applied AI
Artificial intelligence (AI) is transforming our world. Whether you’re a student, a developer, or a technology consultant - understanding AI and knowing how to create AI-powered applications can give you an edge in your career. This Professional Certificate is designed to arm you with the skills to work as an AI developer.
This program will give you a firm understanding of AI technology, its applications, and its use cases. You will become familiar with concepts and tools like machine learning, data science, natural language processing, image classification, image processing, IBM Watson AI services, OpenCV, and APIs. Even if you have no programming background, through this Professional Certificate, you will learn practical Python skills to design, build, and deploy AI applications on the web. The courses will also enable you to apply pre-built AI smarts to your products and solutions.
Rather than create complex AI algorithms and interfaces from scratch, you’ll use IBM Watson AI services and APIs to create smart applications with minimal coding. By the end of this Professional Certificate, you will have completed several projects that showcase proficiency in applying AI and building AI-powered solutions.
In addition to earning a Professional Certificate from Coursera, you'll also receive a digital badge from IBM recognizing your proficiency in applied AI.
Preguntas Frecuentes
¿Cuándo podré acceder a las lecciones y tareas?
El acceso a las clases y las asignaciones depende del tipo de inscripción que tengas. Si tomas un curso en modo de oyente, verás la mayoría de los materiales del curso en forma gratuita. Para acceder a asignaciones calificadas y obtener un certificado, deberás comprar la experiencia de Certificado, ya sea durante o después de participar como oyente. Si no ves la opción de oyente:
- es posible que el curso no ofrezca la opción de participar como oyente. En cambio, puedes intentar con una Prueba gratis o postularte para recibir ayuda económica.
- Es posible que el curso ofrezca la opción 'Curso completo, sin certificado'. Esta opción te permite ver todos los materiales del curso, enviar las evaluaciones requeridas y obtener una calificación final. También significa que no podrás comprar una experiencia de Certificado.
¿Qué recibiré si me suscribo a este Certificado?
Cuando te inscribes en un curso, obtienes acceso a todos los cursos del Certificado y te darán un certificado cuando completes el trabajo. Se añadirá tu Certificado electrónico a la página Logros. Desde allí, puedes imprimir tu Certificado o añadirlo a tu perfil de LinkedIn. Si solo quieres leer y visualizar el contenido del curso, puedes auditar el curso sin costo.
¿Cuál es la política de reembolsos?
Si estás suscrito, obtienes una prueba gratis de 7 días, que podrás cancelar cuando desees sin ningún tipo de penalidad. Una vez transcurrido ese tiempo, no realizamos reembolsos. No obstante, puedes cancelar tu suscripción cuando quieras. Consulta nuestra política completa de reembolsos.
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