Learning to Build Apps Using Watson AI [Video]

More Information
Learn
  • Learn the fundamentals of IBM Cloud and creating service instances
  • Understand the various IBM Watson AI API’s in detail, how to train and when to use them
  • Learn Watson Assistant to build an IT Support Assistant conversational application
  • Apply Watson Natural Language Understanding to build an Customer Complaints Analyzer
  • Train Watson Speech to Text to build a financial earnings call analyzer & enricher application
  • Train Watson Visual Recognition to classify & detect rooms in a home
  • Become proficient in using the Watson API’s to build applications in Python, Node-RED and Node.js
  • Best practices when using each of the API’s
About

IBM Watson has evolved from being a game show winning question & answering computer system to a set of enterprise-grade artificial intelligence (AI) application program interfaces (API) available on IBM Cloud. These Watson API’s can ingest, understand & analyze all forms of data, allow for natural forms of interactions with people, learn, reason - all at a scale that allows for business processes and applications to be reimagined.

This course will give you a hands-on introduction to getting a detailed understanding of the Watson AI API’s, how to train them and eventually build applications using them. You will go through the fundamentals behind each of the API’s, lots of code examples on how to use them on different types of unstructured data, spot the scenarios where you can apply them as well as real-life use case examples. You will learn about how to build conversational apps a.k.a., chat-bots, analyze text at a deeper level, transcribe audio, training a machine to classify & detect objects in pictures, extract entities, emotions, sentiment and relationships from news articles etc.

You will also learn the different types of data basics of AI including machine & deep learning, approach to building AI systems. You will learn about the basics of getting started with IBM Cloud, Watson and setting up an environment to build AI infused apps.

By the end of the course, you will have a complete understanding of the various Watson API’s and will have developed the skills to effectively use them in applications and business processes you may be working on.

All the code and supporting files for this course are available at: https://github.com/PacktPublishing/Learning-to-Build-Apps-Using-Watson-AI

Style and Approach

This practical course is packed with step-by-step instructions, working examples, and helpful advice on getting started with IBM Watson. This comprehensive course is divided into clear bite-size chunks so you can learn at your own pace and focus on the areas of most interest to you.

Features
  • A comprehensive and friendly guide to getting started with IBM Watson.
  • Covers the latest version of IBM Watson with fully up-to-date techniques and code examples.
  • Shows how to add the different features of Watson in your application
Course Length 11 hours 49 minutes
ISBN 9781788620789
Date Of Publication 30 Nov 2018

Authors

Swami Chandrasekaran

Swami Chandrasekaran (@swamichandra) is a managing director at KPMG's AI Innovation & Enterprise Solutions. He leads the architecture, technology, creation of AI + emerging tech offerings as well as innovation efforts. He has led the creation of products and solutions that have solved a wide range of problems in areas such as tax and audit, industrial automation, aviation safety, contact centers, insurance claims, field service, multimedia enrichment, social care, digital marketing, M&A, and KYC. These solutions have leveraged automation, ML/DL, NLP, advanced analytics, as well as RPA, cloud and IoT capabilities. He is currently also driving explainable and trusted AI efforts.

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Previously, he spent 12 years at IBM, out of which 5 years were spent in the core Watson division. He led an organization that drove innovation and also creation + incubation of several solutions that leveraged Watson and IBM Cloud capabilities. He was also responsible for creating a library of Watson Accelerators that were used by several clients and field teams to accelerate their adoption of AI across various industries. He was appointed as one of their most elite IBM Distinguished Engineer.

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Prior to Watson, he worked in IBM's WebSphere division and led efforts in the areas of OSS/BSS transformation, Cloud Service Broker + Storefronts, Digital Media Supply Chain, Mobile Payments, Smart Metering, Real-time Campaigns using middleware, BPM & SOA capabilities.

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Prior to IBM, he worked at Webify Solutions (acquired by IBM), BearingPoint, and Ericsson Research. He holds a master’s in electrical engineering from UT Arlington, has filed about 20 patents and an IBM Master Inventor. He lives in Dallas with his wife Ramya, and two lovely daughters. Swami has also authored a couple of books on SOA and BPM. He is an avid video gamer, and when he finds the time, he writes on http://nirvacana.com and tweets with the handle @swamichandra.