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IBM Watson Application Development Certification Bootcamp

New & Exclusive – Learn the concepts needed to pass the IBM Watson Application Developer Certification exam.

GK# 6971

Course Overview

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This 3 day intensive intermediate level course reviews the concepts included in the IBM Watson Application Developer Certification exam. You will learn concepts essential to cognitive technologies and the development and administration of applications using the IBM Watson services.

Schedule

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  • Delivery Format:
  • Date:
  • Location:
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$

What You'll Learn

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  • Use cases of cognitive services
  • Fundamentals of IBM Watson services
  • Development of cognitive applications using IBM Watson services
  • Administration of applications using IBM Watson services

Outline

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Viewing outline for:

Virtual Classroom Live Outline

Bluemix/IBM Cloud and Fundamentals of Cognitive Computing

  • Define the main characteristics of a cognitive system
  • Explain neural nets
  • Explain machine learning technologies (supervised, unsupervised, reinforcement learning approaches)
  • Define a common set of use cases for cognitive systems
  • Define Precision, Recall, and Accuracy
  • Explain the importance of separating training, validation and test data
  • Measure accuracy of service
  • Perform Domain Adaption using Watson Knowledge Studio (WKS)
  • Define Intents and Classes
  • Explain difference between ground truth and corpus
  • Define the difference between the user question and the user intent

Use Cases of Cognitive Services

  • Select appropriate combination of cognitive technologies based on use-case and data format
  • Explain the uses of the Watson services in the Application Starter Kits
  • Describe the Watson Conversational Agent
  • Explain use cases for integrating external systems (such as Twitter, Weather API)

Use Cases of Cognitive Services

  • Select appropriate combination of cognitive technologies based on use-case and data format
  • Explain the uses of the Watson services in the Application Starter Kits
  • Describe the Watson Conversational Agent
  • Explain use cases for integrating external systems (such as Twitter and the Weather API)

Fundamentals of IBM Watson Developer Cloud

  • Distinguish cognitive services on WDC for which training is required or not required
  • Provide examples of text classification using the NLC
  • Explain the Watson SDKs available as part of the services on Watson Developer Cloud
  • Explain the Watson REST APIs available as part of the services on Watson Developer Cloud
  • Explain and configure Text to Speech
  • Explain and configure Speech to Text
  • Explain and configure Tone Analyzer
  • Explain and configure Conversation
  • Explain and configure Discovery
  • Explain and configure Document Conversion
  • Explain and configure Visual recognition
  • Explain and configure Language Translator
  • Explain and configure Natural Language Classifier
  • Explain and configure Natural Language Understanding
  • Explain and configure Personality Insights

Developing Cognitive Applications using Watson Developer Cloud Services

  • Call a Watson API to analyze content
  • Describe the tasks required to implement the Conversational Agent/Digital Bot
  • Transform service outputs for consumption by other services
  • Define common design patterns for composing multiple Watson services together (across APIs)
  • Design and execute use case driven service choreography (within an API)
  • Deploy a web application to IBM Bluemix

Administration and DevOps for applications using IBM Watson services

  • Describe the process of obtaining credentials for Watson services
  • Monitor resource utilization of applications using IBM Watson services
  • Monitoring application performance on IBM Bluemix/IBM Cloud

Prerequisites

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  • Working knowledge of developing an application using IBM Watson services
  • Working knowledge of core Cloud services (monitoring, logging, scaling), and security
  • Working knowledge with designing, developing and deploying RESTful APIs
  • Working knowledge of use cases using IBM Watson services
  • Working knowledge of cognitive concepts such as intent, relationships, entities, and ground truth
  • Working knowledge of the application starter kits and demos available on the IBM Watson Developer Cloud
  • Working knowledge of open technologies like CloudFoundry and Git like repositories
  • Basic knowledge of application development using common web technologies such as Node.js, Javascript, HTML, and css
  • Basic knowledge of machine learning methods and technologies

Who Should Attend

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An intermediate level technical professional who understands concepts essential to the development of applications using IBM Watson services. They have experience using the IBM Bluemix Platform-as-a-Service/IBM Cloud offering and are able to consume IBM Watson services in an application. This individual is able to perform these tasks with little to no assistance from product documentation, support, or peers.

Course Delivery

This course is available in the following formats:

Virtual Classroom Live

Experience expert-led online training from the convenience of your home, office or anywhere with an internet connection.

Duration: 3 day

Classroom Live

Receive face-to-face instruction at one of our training center locations.

Duration: 3 day

Request this course in a different delivery format.
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