Watson is a supercomputer that’s designed to replicate a person’s ability to answer questions. It uses artificial intelligence to find solutions. Although developers initially conceived of this question-answering computer system to see if it could correctly solve Jeopardy! questions, they soon realized the supercomputer had applications far beyond the world of game shows. It can even function as its own search engine — but how? It’s programmed with over 6 million logic rules that it utilizes for processing about 200 million pages’ worth of information to find answers when someone poses a question. Watson represents a new frontier in machine learning.

Why should I learn about Watson?

Researching how IBM's Watson works, what roles it can serve and how its related services work in apps provides you with the basics you need to know before you move onto more intricate concepts in artificial intelligence. This supercomputer is a powerful model of the ways artificial intelligence can work for us. With an understanding of Watson in your proverbial toolkit, you’ll be better equipped to pursue a career as a computer scientist or use IBM Watson Analytics to provide new insights into information for industries as varied as retail and healthcare.

What career opportunities can arise from learning about Watson?

Learning Watson can lead to a career working with artificial intelligence, and AI and deep learning can keep you engaged and pursuing revolutionary concepts and outcomes each and every day. A variety of careers provide the introduction to AI that you’re looking for, too. Data analyst careers will have you working with the data and details computers need to process in order to “think” and determine outcomes the way a person would. A job in the field of user experience, which helps refine products so they’re easier for consumers to use, might see you integrating AI features into those products to make them more helpful. Traditionally, AI also involves plenty of software engineering, and this type of career in the computer science field may have you developing the programs that AI tools need to function.

How can taking online courses on Coursera help me learn about Watson?

Whether you’re interested in learning specifically about working with Watson or plan to use your new knowledge about the supercomputer as a springboard into a future career working with artificial intelligence, our online courses provide engaging materials and valuable support to help you achieve your goals. An introductory course on Watson can help you get familiar with the basics of how the supercomputer works and how you can apply its artificial intelligence principles to build smart apps. And if you’re already working as a data scientist, taking our online classes can build confidence as you learn to automate deep learning and apply your understanding of machine learning to prototype new AI models. Whether you’re just getting started or are already experienced with AI concepts, online courses help you explore your curiosity and learn marketable skills at your perfect pace.

Top Watson Courses - Learn Watson Online

Explore the Watson Course Catalog

Status: New
Status: Free Trial
Coursera
Machine Learning with Scikit-learn, PyTorch & Hugging Face
Skills you'll gain: Generative AI, Supervised Learning, Generative Model Architectures, Unsupervised Learning, Large Language Modeling, Time Series Analysis and Forecasting, Exploratory Data Analysis, LLM Application, Applied Machine Learning, Machine Learning Algorithms, Data Collection, Data Cleansing, OpenAI, Feature Engineering, Data Ethics, Dimensionality Reduction, MLOps (Machine Learning Operations), Machine Learning, Data Processing, Network Architecture
Intermediate · Professional Certificate · 3 - 6 Months
Coursera Project Network
Building Smart Business Assistants with IBM Watson
Skills you'll gain: IBM Cloud, Self Service Technologies, Application Deployment, AI Personalization, Customer Inquiries, Customer Engagement, Cloud Computing, Customer Service, Natural Language Processing
4.6
Rating, 4.6 out of 5 stars
465 reviews
Beginner · Guided Project · Less Than 2 Hours
Status: Free Trial
IBM
Introduction to Artificial Intelligence (AI)
Skills you'll gain: Responsible AI, Generative AI, Natural Language Processing, Business Intelligence, Content Creation, Risk Mitigation
4.7
Rating, 4.7 out of 5 stars
21K reviews
Beginner · Course · 1 - 4 Weeks
Status: New
Status: Free Trial
Pearson
Introduction to Transformer Models for NLP: Unit 3
Skills you'll gain: MLOps (Machine Learning Operations), Large Language Modeling, Computer Vision, Image Analysis, Natural Language Processing, Application Deployment, Deep Learning, Cloud Hosting, Restful API
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
Status: AI skills
IBM
IBM Data Science
Skills you'll gain: Dashboard, Data Visualization Software, Data Visualization, Predictive Modeling, SQL, Unsupervised Learning, Plotly, Interactive Data Visualization, Supervised Learning, Exploratory Data Analysis, Feature Engineering, Jupyter, Data Wrangling, Data Literacy, Data Analysis, Data Mining, Matplotlib, Generative AI, Professional Networking, Data Import/Export
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
146K reviews
Beginner · Professional Certificate · 3 - 6 Months
Status: Free Trial
IBM
AI Foundations for Everyone
Skills you'll gain: Prompt Engineering, Prompt Engineering Tools, Multimodal Prompts, ChatGPT, Generative AI, Responsible AI, OpenAI, Workflow Management, Action Oriented, No-Code Development, LLM Application, Natural Language Processing, Business Workflow Analysis, Self Service Technologies, Application Deployment, Large Language Modeling, Machine Learning, Deep Learning, Business Intelligence, Data Science
4.7
Rating, 4.7 out of 5 stars
31K reviews
Beginner · Specialization · 3 - 6 Months

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Status: Free Trial
IBM
Machine Learning with Python
Skills you'll gain: Unsupervised Learning, Supervised Learning, Feature Engineering, Applied Machine Learning, Scikit Learn (Machine Learning Library), Machine Learning, Predictive Modeling, Dimensionality Reduction, Regression Analysis, Decision Tree Learning, Classification And Regression Tree (CART), Statistical Modeling
4.7
Rating, 4.7 out of 5 stars
18K reviews
Intermediate · Course · 1 - 3 Months
Status: Preview
IBM
Machine Learning Rapid Prototyping with IBM Watson Studio
Skills you'll gain: Feature Engineering, Data Transformation, Data Processing, Data Cleansing, Applied Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Exploratory Data Analysis, Automation, Machine Learning Methods, Machine Learning, Scikit Learn (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Data Science, IBM Cloud, Python Programming, Performance Tuning
4.2
Rating, 4.2 out of 5 stars
15 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
IBM
Python Project for Data Engineering
Skills you'll gain: Web Scraping, Data Transformation, Extract, Transform, Load, Data Manipulation, SQL, Integrated Development Environments, Data Processing, Databases, Application Programming Interface (API), Code Review, Restful API, Python Programming, Unit Testing, Style Guides
4.6
Rating, 4.6 out of 5 stars
796 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
IBM
Introduction to Big Data with Spark and Hadoop
Skills you'll gain: Apache Hadoop, Apache Spark, PySpark, Apache Hive, Big Data, IBM Cloud, Kubernetes, Docker (Software), Scalability, Data Processing, Distributed Computing, Performance Tuning, Data Transformation, Debugging
4.4
Rating, 4.4 out of 5 stars
454 reviews
Intermediate · Course · 1 - 3 Months
Status: New
Status: Free Trial
University of Pittsburgh
Data Visualization: Fundamentals to Interactive Storytelling
Skills you'll gain: Data Storytelling, Interactive Data Visualization, Data Presentation, Plot (Graphics), Data Visualization Software, Data Visualization, Tableau Software, Spatial Analysis, Visualization (Computer Graphics), Statistical Visualization, Network Model, Dashboard, Matplotlib, Infographics, Heat Maps, Seaborn, Geospatial Information and Technology, Time Series Analysis and Forecasting, Network Analysis, Geospatial Mapping
Build toward a degree
Intermediate · Specialization · 3 - 6 Months
Status: New
Status: Free Trial
Pearson
Introduction to Transformer Models for NLP
Skills you'll gain: Prompt Engineering, PyTorch (Machine Learning Library), Natural Language Processing, MLOps (Machine Learning Operations), Large Language Modeling, Computer Vision, Image Analysis, Generative AI, Generative Model Architectures, Application Deployment, Artificial Neural Networks, Text Mining, Deep Learning, Cloud Hosting, Semantic Web, Restful API
Intermediate · Specialization · 1 - 4 Weeks