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.
Building AI Applications with Watson APIs
ofrecido por
IBM
Acerca de este Curso
6,392 vistas recientes
Habilidades que obtendrás
Artifical IntelligenceMachine LearningPython ProgrammingWatson AIChatbot
Programa - Qué aprenderás en este curso
Semana
12 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 videos (Total 6 minutos), 4 readings, 1 quiz
4 lecturas
General Information5m
Syllabus10m
Lab 1: Creating Watson Instances1h
What's Next2m
1 ejercicios 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 videos (Total 10 minutos), 2 readings, 1 quiz
2 lecturas
Lab 2: Creating a Discovery Collection1h
What's Next2m
1 ejercicios de práctica
Quiz 2 - Watson Discovery20m
Semana
23 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.
3 readings, 1 quiz
3 lecturas
Lab 3: Creating a Chatbot1h
Lab 4: Adding Discovery to the Chatbot2h
What's Next3m
1 ejercicios de práctica
Quiz 3 - Integrating Assistant and Discovery20m
Semana
32 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.
1 videos (Total 6 minutos), 3 readings, 1 quiz
1 videos
3 lecturas
Lab 5: Adding Speech to Text1h
Lab 6: Adding Text to Speech30m
What's Next2m
1 ejercicios de práctica
Quiz 4 - Speech APIs20m
Semana
42 horas para completar
Module 5: Deployment
This module will teach you how to deploy your chatbot to various channels, including Facebook Messenger and Slack.
1 videos (Total 5 minutos), 3 readings, 1 quiz
1 videos
3 lecturas
Lab 7: Deploying to Facebook Messenger1h
Lab 8: Deploying to Slack1h
What's Next3m
1 ejercicios de práctica
Quiz 5 - Deployment20m
Instructores
Antonio Cangiano
Software Developer and Technical EvangelistIBM Developer Skills Network
Tanmay Bakshi
AI Evangelist & Watson DeveloperAcerca de 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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