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30-Day Money-Back Guarantee

This course includes:

  • 15 hours on-demand video
  • 1 downloadable resource
  • Full lifetime access
  • Access on mobile and TV
Business Other Business IBM Watson

IBM Watson for Artificial Intelligence & Cognitive Computing

Build smart cognitive computing, AI, and ML applications and systems with IBM Watson
Rating: 3.5 out of 53.5 (51 ratings)
343 students
Created by Packt Publishing
Last updated 7/2020
English
English [Auto]
30-Day Money-Back Guarantee

What you'll learn

  • Explore the capabilities of IBM Watson APIs to choose the best features for your task
  • Build a Customer Care chatbot using the Watson API
  • Extract metadata from text using Watson
  • Use Watson to get insights into the personality of your users
  • Learn how to use Watson for Computer Vision tasks and Visual Recognition to easily detect images
  • Learn the fundamentals of IBM Cloud and creating service instances
  • 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

Requirements

  • No prior knowledge is required. However, having background in computer science or development will be beneficial but not mandatory.

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 APIs 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. If you’re someone who wants to build applications based on cognitive computing, AI, and ML, then this course is perfect for you.

This practical course on IBM Watson is designed to teach you how to build intelligent AI, ML, and Cognitive Computing based applications and systems. Beginning with an introduction to IBM Watson and exploring its components/features, you will learn how it can solve common pitfalls and be beneficial for your businesses. You will then learn the core Cognitive Computing techniques, concepts, and practices that Watson adopts and makes accessible to all. You will also get a detailed understanding of the Watson APIs such as training them and eventually building applications using them. Next, you will learn how to build chatbots, analyze text at a deeper level, transcribe audio, train a machine to classify & detect objects in pictures, extract entities, emotions, sentiment and relationships from news articles, and more. Finally, you will learn machine learning and deep learning to build intelligent AI systems.

Contents and Overview

This training program includes 2 complete courses, carefully chosen to give you the most comprehensive training possible.

The first course, IBM Watson for Beginners, will start by introducing Watson and what it can do for you. You will discover the kind of problems Watson can help with and discover the main components/features that enable it to work. Along the way you will learn the core Cognitive Computing techniques, concepts, and practices that Watson adopts and makes accessible to all. After that brief start, you'll delve into problem solving with Watson. Each section will deal with a kind of problem that Watson can solve, using 1 or more illustrative examples to show you how Watson can be used to solve your own business problems and build powerful intelligent systems.

The second course, Learning to Build Apps Using Watson AI, will give you a hands-on introduction to getting a detailed understanding of the Watson APIs, how to train them, and eventually build applications using them. You will go through the fundamentals behind each of the APIs, 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., chatbots, 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, and more. 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 this course, you will have a complete understanding of the various Watson APIs and will have developed the skills to effectively use them in applications and business processes you may be working on.

Meet Your Expert(s):

We have the best work of the following esteemed author(s) to ensure that your learning journey is smooth:

  • Duvier Zuluaga Mora is a systems engineer who graduated from National University of Colombia, with a degree in Image Processing and Computer Graphics. He has more than 10 years of experience, including Application Integration Solutions, Service Oriented Architectures (SOA), Business Process Management Systems (BPM), and, in recent years, experience in Cognitive Solutions Architecture for Latin America. He was passionate about algorithms from a young age, and was part of the Colombian Team for International Olympiad in Informatics (IOI), first as a contestant and then as a National Team Trainer. He likes to work with technologies that have the potential to change the World.

  • Swami Chandrasekaran 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.

Who this course is for:

  • This course is for developers, business analysts, and technical officers who wish to unleash the power of IBM Watson for Cognitive Computing, Artificial Intelligence, and Machine Learning.

Course content

2 sections • 77 lectures • 15h 6m total length

  • Preview04:28
  • Review of Cognitive Concepts
    11:44
  • Structure of a Cognitive System
    11:37
  • Watson – Your Next AI Platform
    06:50
  • Recap of REST Paradigm
    08:38
  • Review of Watson APIs – Part I
    13:38
  • Review of Watson APIs – Part II
    08:31
  • Watson Assistant Training
    10:45
  • Watson Assistant Training – II
    09:49
  • Introduction to Discovery Service
    09:04
  • Build Your Own Chatbot
    20:10
  • Natural Language Understanding
    08:51
  • Enrichments in Discovery Service
    12:08
  • Find Insights from Unstructured Data
    08:43
  • Personality Insights
    11:12
  • Sample Use Cases
    14:10
  • Understanding Visual Recognition
    06:48
  • Standard Model
    11:04
  • Creating Custom Models
    08:45
  • Test Your Knowledge
    5 questions

  • Preview10:46
  • Fundamentals
    10:01
  • Fundamentals – Part 2
    07:24
  • Introducing IBM Watson
    08:58
  • The IBM Watson Platform
    14:53
  • Adapting Watson
    06:49
  • Examples
    03:47
  • Watson API’s
    09:31
  • IBM Cloud
    04:06
  • Development Environment
    10:40
  • Hello Watson
    08:45
  • Hello Watson (Continued)
    04:10
  • IBM Node-RED
    08:02
  • IBM Node-RED (Continued)
    07:54
  • Python and Node.js SDK
    06:56
  • Python and Node.js SDK (Continued)
    08:25
  • Watson Assistant in Depth
    15:40
  • Watson Assistant in Depth (continued)
    14:05
  • Define Intents and Entities Workspace
    20:20
  • Define Intents
    19:31
  • Define Entities
    24:35
  • Build Dialog Overview
    11:22
  • Build Dialog Conditions and Responses
    10:32
  • Build Dialog Context, Slots and Folders
    26:19
  • Build Dialog Advanced Responses and APIs
    12:52
  • Evaluate and Deploy the Model
    18:10
  • Build: IT Support Assistant
    24:06
  • Improving Models Continuously
    08:26
  • Applying the Capability in Various Use Cases
    05:29
  • Watson NLU in Depth
    15:04
  • Watson NLU in Depth – Part 2
    08:01
  • Understand Entities and Relations
    14:53
  • Concepts, Categories, and Keywords
    08:01
  • Sentiment and Document Emotion
    06:26
  • Build: Analyzing Customer Complaints
    07:41
  • Build: Analyzing Customer Complaints – Part 2
    16:45
  • Applying NLU in Various Use Cases
    09:04
  • Watson Speech to Text in Depth
    23:58
  • Watson Speech to Text in Depth (Continued)
    18:33
  • Key Concepts
    09:13
  • Key Concepts (Continued)
    31:02
  • Testing Watson Speech To Text Model
    14:39
  • Improving STT Model Using Custom Words
    18:16
  • Improving STT Model Using Custom Words(continued)
    16:09
  • Build Your Own Custom Acoustic Model
    16:23
  • Build: Company Earnings Call Transcript Application
    13:26
  • Applying the Capability in Various Use Cases
    09:16
  • Watson Visual Recognition in Depth
    19:01
  • Watson Visual Recognition in Depth (Continued)
    14:24
  • Classifying Images
    10:21
  • Classifying Images (Continued)
    07:40
  • Detecting Food and Faces
    05:21
  • Extracting Text from Images
    03:12
  • Introduction to Watson Studio
    11:40
  • Overall Approach to Training
    12:14
  • Training the Classifier
    08:44
  • Invoke Model, Best Practices and Applicable Cases
    13:33
  • Apply the Capability in Various Use Cases and Convert to Core ML
    03:37
  • Test Your Knowledge
    5 questions

Instructor

Packt Publishing
Tech Knowledge in Motion
Packt Publishing
  • 3.9 Instructor Rating
  • 56,509 Reviews
  • 344,401 Students
  • 1,423 Courses

Packt has been committed to developer learning since 2004. A lot has changed in software since then - but Packt has remained responsive to these changes, continuing to look forward at the trends and tools defining the way we work and live. And how to put them to work.

With an extensive library of content - more than 4000 books and video courses -Packt's mission is to help developers stay relevant in a rapidly changing world. From new web frameworks and programming languages, to cutting edge data analytics, and DevOps, Packt takes software professionals in every field to what's important to them now.

From skills that will help you to develop and future proof your career to immediate solutions to every day tech challenges, Packt is a go-to resource to make you a better, smarter developer.

Packt Udemy courses continue this tradition, bringing you comprehensive yet concise video courses straight from the experts.



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