IBM Watson Application Development Training Course and Workshop in Bangalore, Mysore, Chennai, Hyderabad, Pune, Mumbai, Delhi, Noida, Gurgaon, Kolkata

This IBM Watson Application Development training course provides a basic understanding of AI technologies, practical knowledge of the core Watson APIs, and how your application can use these services.

By attending IBM Watson Application Development workshop, delegates will learn:

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

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 AI concepts such as intent, relationships, entities, and ground truth
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

Technical professional who understands the concepts essential to the development of applications using IBM Watson services. You should have experience using the IBM Cloud and are able to consume IBM Watson services in an application.

Bluemix/IBM Cloud and Fundamentals of Cognitive Computing

Define the main characteristics of an AIsystem
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 the difference between ground truth and corpus
Define the difference between the user question and the user intent

Use Cases of AI Services

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

Fundamentals of IBM Watson Developer Cloud

Distinguish Watson AI 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 Assistant
Explain and configure Discovery
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 Assistant 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 Cloud

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 the IBM Cloud

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