IBM Watson for Artificial Intelligence & Cognitive Computing
- 15 hours on-demand video
- 1 downloadable resource
- Full lifetime access
- Access on mobile and TV
- Certificate of Completion
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- 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
- No prior knowledge is required. However, having background in computer science or development will be beneficial but not mandatory.
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.
- 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.
What are the differences between cognitive systems and traditional development?
Understand the different computing paradigms for solving problems
Change the focus from rules definition and development to data analysis and training
Explore the conceptual components that make a cognitive system
A quick summary of Watson as an implementation of a cognitive system, from its history to its current offering.
Go through a brief history of Watson and the Jeopardy challenge
Review the evolution of Watson after it won the Jeopardy contest
Review the current status of Watson and the way of using it
What does it mean to understand text? How can you get from an open text to useful information that a program can process?
Understand metadata and its role in natural language processing
Explore the kind of metadata that Watson can extract from your data
Use a sample app for looking at the results with feature extraction with NLU
How to include the NLP capabilities to enrich the analysis you can do over your documents?
Review the three stages for processing a set of documents
Understand the structure of the Discovery Service and the functionalities it offers
Configure your own environment for uploading documents and doing the NLP processing