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Learning to Build Apps Using Watson AI

Learning to Build Apps Using Watson AI Udemy Free download. Level up your applications by infusing Artificial Intelligence.

This course is written by Udemy’s very popular author Packt Publishing. It was last updated on March 19, 2019. The language of this course is English but also have Subtitles (captions) in English (US) languages for better understanding. This course is posted under the categories of IT & Software, Data & Analytics, IBM Watson and Business on Udemy.

There are more than 3517 people who has already enrolled in the Learning to Build Apps Using Watson AI which makes it one of the very popular courses on Udemy. You can free download the course from the download links below. It has a rating of 4.7 given by 592 people thus also makes it one of the best rated course in Udemy.

The Udemy Learning to Build Apps Using Watson AI free download also includes 6 hours on-demand video, 3 articles, 27 downloadable resources, Full lifetime access, Access on mobile and TV, Assignments, Certificate of Completion and much more.

What am I going to learn?

If you are wondering what you are going to learn or what are the things this course will teach you before free downloading Learning to Build Apps Using Watson AI, then here are some of things:

  • 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

What do I need?

These are the very few things you need first before you can free download Learning to Build Apps Using Watson AI:

  • 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.

Is this course right for me?

If you are still confused whether you should free download Learning to Build Apps Using Watson AI or is it the course you are actually looking for, then you should know that this course is best for:

  • Programmers who are new to IBM Watson and want to understand how to go about it, If you want to perform data discovery and analysis and make sense of data you have, this video is for you.

Course Description

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.

About the Author

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.

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.

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.

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 tweets with the handle @swamichandra.

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