Best IBM Watson Courses

Find the best online IBM Watson Courses for you. The courses are sorted based on popularity and user ratings. We do not allow paid placements in any of our rankings. We also have a separate page listing only the Free IBM Watson Courses.

Building Chatbots with Amazon Lex and IBM Watson

Learn how to build bots on Amazon Lex, IBM Watson, Facebook Messenger, Twilio, and more

Created by Nicholas "Techustler" Ivanecky - Product Manager at Adobe


Students: 2538, Price: $89.99

Students: 2538, Price:  Paid

Update: Join over 9,700 students in the Techustler Course Series. You don’t want to miss this opportunity in learning practical knowledge in Tech.

Have you ever wondered how chat bots are made?

Why are chat bots the next big trend?

How can I build chat bots that are cool?

If you ever wanted to understand the space of Bots or build them yourself, then take my course "Building Chatbots with Amazon Lex and AI with IBM Watson". I designed it in a practical way so that when you finish the content you can immediately put it into use. 

Now, why should you build bots?

Bots are the next big trend according to media journals, silicon valley companies, and web developers. The barrier of entry to build a bot is low enough, but the amount of traction you can get is enormous. This is why startups like Slack have built a billion dollar business around it. Now, we are in the early stages of this trend and in order to stay ahead you must learn a thing or two about bots. More importantly, how to build bots which I teach in this course.

This course contains over 40 lectures and 3 hrs of content. It's designed for beginners to play with new platforms in the bot space. You’ll learn the tools needed to build the bots, how the inner workings of bots, how to map a user conversation, and market your bot to your friends.

Course Structure

The course follows a familiar structure where in each video I will teach the concepts followed by the student applying the concepts practically. If your goal is to become a better developer, you should understand node.js, server side development and how to access certain APIs to build better bots. The course does not go deep into API integration of bot responses. This means we won't be building complex models, AI driven bots, or multiple API driven bots. That would be for an expert course. 

Environment Setup

This course aims to simulate a live in-person course as much as possible. After you finish each lecture, you should practice and try the solution on your own. You learn the best by practicing and doing. 


At the end of each section, you will be asked to complete a bot which you can then share with your network or on the Udemy network. 

Testimonials from other Techustler Courses and the Instructor

“Great set of videos Nick! I really liked the format of the videos with you in the corner of the screen showing us how to use the website. Cool songs you use at the beginning of each video. It really gives off the vibe that your course is hip and up-to-date with modern times. You do a great job of keeping of with the times. Stay modern, but classy at the same time Nick!” - Penelope

“The course is amazing so far. I didn't know you could do so much with Slack. I can't wait to build the on-boarding site and start bringing users into my community. I highly recommend this course.” - John

"He is a crafty problem solver, coming up with clever solutions to solve problems on schedule. When we worked together on a project, he quickly came up with and implemented UI solutions for the app to finish on time." - Doug

"Nick is highly focused and is the type of person who puts in the time and effort to solve a problem while not sacrificing quality. His attention to detail led to his design of a creative and great looking app." - Christine

"Nick's great at guerrilla customer development, he knows how to analyze data and make strong connections to the market. He understands the user flow when solving their problems." - Taso

"It was a highly positive experience working alongside Nick at DigaBlue and with the work ethic he has, I am certain that he will produce great results in his future endeavors." - Saif

"Nick is an aspiring tech entrepreneur with what I would consider a strong passion and desire to learn more and excel in the evolving digital age. He is an experienced programmer with a track record of creating both his own website and various mechanical devices." - Elliot

"Nick taught me so much, and invested a good amount of time being my mentor--teaching me to become a better non-technical leader." - Rohan

What is the target audience?

This course is designed for people with little or no experience with chat bot making and who want to build the next cool product. By the end of the course, you’ll have valuable skills that will help you be creative and resourceful in your pursuit of building products (hopefully in the bot space :)

Next Steps

Now it's time to become a Techustler and join me in registering for the course. I can’t wait to have you on board!

IBM Watson for Artificial Intelligence & Cognitive Computing

Build smart cognitive computing, AI, and ML applications and systems with IBM Watson

Created by Packt Publishing - Tech Knowledge in Motion


Students: 385, Price: $89.99

Students: 385, Price:  Paid

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.

Building Chatbots with IBM Watson Assistant: End-to-End

IBM Watson Assistant Chatbot development tutorial

Created by Thulani Ngwenya - Digital Innovation GURU


Students: 184, Price: $49.99

Students: 184, Price:  Paid

With the IBM Watson™ Assistant service, you can build a chatbot that understands natural-language input and uses machine learning to respond to customers in a way that simulates a conversation between humans.

This course will teach how to use IBM Watson Assistant service to build intelligent chatbots from end to end,

This diagram shows the overall architecture of a complete solution:

  • Users interact with your application through the user interface that you implement. For example, a simple chat window or a mobile app, or even a robot with a voice interface.

  • The application sends the user input to the Watson Assistant service.

    • The application connects to a workspace, which is a container for your dialog flow and training data.
    • The service interprets the user input, directs the flow of the conversation and gathers information that it needs.
    • You can connect additional Watson services to analyze user input, such as Tone Analyzer or Speech to Text.
  • The application can interact with your back-end systems based on the user's intent and additional information. For example, answer question, open tickets, update account information, or place orders. There is no limit to what you can do.

IBM Watson Discovery Fundamentals

A beginners dive into the advanced search, NLP, and AI technology of IBM Watson Discovery.

Created by Johnathan Ward - IBM Watson Consultant


Students: 46, Price: $39.99

Students: 46, Price:  Paid

Discover the IBM Watson Discovery service. This service can be used to ingest and index data sets of all sizes. Automatically enrich your data with IBM Watson's advanced Natural Language Processing (NLP), Machine Learning (ML), and Artificial Intelligence (AI) technology. Give your developers, data scientists, and business users insight into your data like Keyword Extraction, Sentiment Analysis, Concept Tagging, Category Classification, Semantic Role Extraction, Emotion Analysis, Entity Extraction, and Relation Extraction. IBM Watson Discovery can even be taught your domain-specific business language by integrating with IBM Watson Knowledge Studio (not covered in this course).

This course is intended for business and technical users who want to learn more about the cognitive capabilities of IBM Watson Discovery service. This is a high-level view of the tooling and technology that make up IBM Watson Discovery. After taking this course you will gain a better understanding of the types of enrichments that can be applied to your dataset and how to use the IBM Watson Discovery user interface to explore your data.

Build Conversational AI Experience using Watson Assistant

Gain hands-on experience in designing and rapid prototyping a conversational AI engagement using IBM's Watson Assistant

Created by Neena Sathi - Principal, Applied AI Institute


Students: 17, Price: $99.99

Students: 17, Price:  Paid

In this course, we will provide you hands-on experience in building a Conversational AI Chatbot using IBM’s Watson Assistant. This course is meant for anyone who is interested in gaining experience in building chatbot experience without prior knowledge in AI or Conversational AI.

Though knowledge of Watson Assistant is desired but not required but Knowledge of Python is required..  We will be providing sample Python code to complete relevant course assignment sections.

You will learn how to

  • Design a conversational AI experience

  • Design and build key conversational AI components

  • Train conversational AI key components

  • Prototype a conversational AI experience using Watson Assistant

  • Integrate with data sources

This course is divided into multiple sections.

  • In section 1, we will provide introduction on the course'

  • In Section 2, we will describe a conversational use case which will be used in prototyping of conversation experience.

  • In Section 3, we will provide instructions on how to set up environment including account set up for developing IBM Watson Assistant based conversational solution.

  • Section 4 will design various concepts used in Conversational AI, such as Utterances, Intents, Entities, Context and Dialog.

  • In section 5 , we will develop training data set for some of these concepts like . Utterances, Intents, Entities.

  • In section 6 we will cover how to set up a Dialog flow for our chosen use cases. We will cover couple of variations of dialog templates.

  • Section 7 will provide how to integrate how Conversational AI solution with various external applications like Slack, Facebook, third party web application and others.

  • In the last section, we will cover glimpses of many advanced topics like how to introduce voice technology, define contexts between user sessions, Chatbot personality and psychology and will summarize the learning.