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

DeepLearning.AI
هيكلة مشاريع التعلم الآلي
Skills you'll gain: Technical Management, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Debugging, Deep Learning, Machine Learning, Supervised Learning, Performance Tuning, Test Data
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
IBM
AI Workflow: Business Priorities and Data Ingestion
Skills you'll gain: Design Thinking, Data Science, Artificial Intelligence, Strategic Thinking, Data Pipelines, Data Validation, Data Processing, Workflow Management, Data Quality, Business Priorities, NumPy, IBM Cloud, Python Programming
4.3
Rating, 4.3 out of 5 stars
164 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
Microsoft
Build and Operate Machine Learning Solutions with Azure
Skills you'll gain: Microsoft Azure, MLOps (Machine Learning Operations), Databricks, Cloud Computing, Applied Machine Learning, Data Ethics, Data Pipelines, Machine Learning, Tensorflow, Continuous Monitoring, Scalability
3.8
Rating, 3.8 out of 5 stars
65 reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
University of Michigan
Applied Plotting, Charting & Data Representation in Python
Skills you'll gain: Matplotlib, Data Visualization Software, Interactive Data Visualization, Scientific Visualization, Visualization (Computer Graphics), Statistical Visualization, Data Presentation, Graphing, Scatter Plots, Data Manipulation, Histogram, NumPy, Pandas (Python Package)
4.5
Rating, 4.5 out of 5 stars
6.3K reviews
Intermediate · Course · 1 - 4 Weeks
Google Cloud
Transformer Models and BERT Model - 简体中文
Skills you'll gain: Natural Language Processing, Large Language Modeling, Artificial Neural Networks, Software Architecture
Advanced · Course · 1 - 4 Weeks
Packt
Computer Vision: YOLO Custom Object Detection with Colab GPU
Skills you'll gain: Image Analysis, Computer Vision, Python Programming, Deep Learning, Real Time Data, Data Processing, Applied Machine Learning, Development Environment, Cloud Storage, Data Collection, Software Installation, System Configuration
3
Rating, 3 out of 5 stars
8 reviews
Beginner · Course · 3 - 6 Months
Status: Free
DeepLearning.AI
Open Source Models with Hugging Face
Skills you'll gain: Generative AI, Cloud Applications, Natural Language Processing, Application Deployment, Open Source Technology, Applied Machine Learning, User Interface (UI), API Design, Computer Vision
4.7
Rating, 4.7 out of 5 stars
54 reviews
Beginner · Project · Less Than 2 Hours
Status: Free Trial
Vanderbilt University
Introduction to Data, Signal, and Image Analysis with MATLAB
Skills you'll gain: Data Visualization, Image Analysis, Data Visualization Software, Machine Learning Methods, Matlab, Applied Machine Learning, Statistical Methods, Data Analysis, Data Processing, Computer Vision, Regression Analysis
4.7
Rating, 4.7 out of 5 stars
220 reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
University of Colorado Boulder
Industrial IoT Markets and Security
Skills you'll gain: Real-Time Operating Systems, Internet Of Things, General Networking, Telecommunications, IBM Cloud, Wireless Networks, Security Engineering, Cloud Platforms, Infrastructure Security, Computer Networking, Market Dynamics, Emerging Technologies, Market Analysis, Encryption, Automation, Software-Defined Networking, Interviewing Skills
4.7
Rating, 4.7 out of 5 stars
588 reviews
Intermediate · Course · 1 - 3 Months
Alfaisal University | KLD
فن رواية قصة البيانات | The Art of Data Storytelling
Skills you'll gain: Data Presentation, Data Storytelling, Data Visualization, Storytelling, Data Visualization Software, Graphing, Data Literacy, Presentations, Business Reporting
4.5
Rating, 4.5 out of 5 stars
13 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
Microsoft
Microsoft Azure Machine Learning for Data Scientists
Skills you'll gain: Microsoft Azure, Unsupervised Learning, Databricks, MLOps (Machine Learning Operations), Applied Machine Learning, Regression Analysis, Scikit Learn (Machine Learning Library), Predictive Modeling, Cloud Management, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Virtual Machines, Application Deployment, Data Pipelines, Data Transformation
4.3
Rating, 4.3 out of 5 stars
168 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
IBM
AI Workflow: Data Analysis and Hypothesis Testing
Skills you'll gain: Data Visualization, Exploratory Data Analysis, Data Presentation, Statistical Hypothesis Testing, Dashboard, Data Analysis, Data Science, Probability & Statistics, Statistical Analysis, Jupyter, Matplotlib, Data Cleansing, Pandas (Python Package), Statistical Inference, Statistics, Data Manipulation
4.3
Rating, 4.3 out of 5 stars
123 reviews
Advanced · Course · 1 - 4 Weeks