EdX

Introduction to Watson AI (edX)

Offered by IBM,
Introduction to Watson AI (edX)

Learn how to quickly and easily get started with Artificial Intelligence using IBM Watson. In this course, you will learn how to quickly and easily get started with Artificial Intelligence using IBM Watson. You will understand how Watson works, become familiar with its use cases and real-life client examples, and be introduced to several Watson AI services from IBM that enable anyone to easily apply AI and build smart apps.

Class Deals by MOOC List - Click here and see EdX's Active Discounts, Deals, and Promo Codes.

Please Note: Learners who successfully complete this IBM course can earn a skill badge — a detailed, verifiable and digital credential that profiles the knowledge and skills you’ve acquired in this course. Enroll to learn more, complete the course and claim your badge!
You will also work with several Watson services including Watson studio, Watson assistant and Watson discovery to demonstrate AI in action.
This course does not require any programming or computer science expertise and is designed for anyone whether you have a technical background or not.
This course is part of the

What you'll learn

  • Fundamentals of AI and Watson Machine Learning
  • How IBM Watson AI works
  • Watson AI services offered on the IBM Cloud and how organizations use these services
  • Common use cases for AI
  • Experience and demonstrate AI in action yourself using Watson
Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Forecasting Techniques for Slow and Rapidly Changing Demand (edX) EdX
ISCEA

Forecasting Techniques for Slow and Rapidly Changing Demand (edX)

Master quantitative, judgmental and causal models used to forecast seasonal, intermittent, and new product future demand. Choose the right forecasting method for all kinds of demand patterns and sales data. Learn how to deal with randomness and low forecastability; missing data, outliers, and overfitting. Separate forecasting myths from reality and mitigate the risk of inaccurate forecasts.

Self Paced
Self-Paced
Dynamic Programming: Applications In Machine Learning and Genomics (edX) EdX
University of California, San Diego,UC San DiegoX

Dynamic Programming: Applications In Machine Learning and Genomics (edX)

Learn how dynamic programming and Hidden Markov Models can be used to compare genetic strings and uncover evolution. If you look at two genes that serve the same purpose in two different species, how can you rigorously compare these genes in order to see how they have evolved away from each other?

Self Paced
Self-Paced
High-Dimensional Data Analysis (edX) EdX
HarvardX,Harvard University

High-Dimensional Data Analysis (edX)

A focus on several techniques that are widely used in the analysis of high-dimensional data. If you’re interested in data analysis and interpretation, then this is the data science course for you. We start by learning the mathematical definition of distance and use this to motivate the use of the singular value decomposition (SVD) for dimension reduction and multi-dimensional scaling and its connection to principle component analysis.

Self Paced
Self-Paced
Probability and Statistics in Data Science using Python (edX) EdX
University of California, San Diego,UC San DiegoX

Probability and Statistics in Data Science using Python (edX)

Using Python, learn statistical and probabilistic approaches to understand and gain insights from data. The job of a data scientist is to glean knowledge from complex and noisy datasets. Reasoning about uncertainty is inherent in the analysis of noisy data. Probability and Statistics provide the mathematical foundation for such reasoning.

Self Paced
Self-Paced
IoT Systems and Industrial Applications with Design Thinking (edX) EdX
École Polytechnique Fédérale de Lausanne,EPFLx

IoT Systems and Industrial Applications with Design Thinking (edX)

The first MOOC to provide a comprehensive introduction to Internet of Things (IoT) including the fundamental business aspects needed to define IoT related products. Internet of Things (IoT) and smart connected devices have radically changed the way our world works and how companies operate and create new businesses.

Self Paced
Self-Paced
Fundamentals of TinyML (edX) EdX
HarvardX,Harvard University

Fundamentals of TinyML (edX)

Focusing on the basics of machine learning and embedded systems, such as smartphones, this course will introduce you to the “language” of TinyML. What do you know about TinyML? Tiny Machine Learning (TinyML) is one of the fastest-growing areas of Deep Learning and is rapidly becoming more accessible. This course provides a foundation for you to understand this emerging field.

Self Paced
Self-Paced
Applications of TinyML (edX) EdX
HarvardX,Harvard University

Applications of TinyML (edX)

Get the opportunity to see TinyML in practice. You will see examples of TinyML applications, and learn first-hand how to train these models for tiny applications such as keyword spotting, visual wake words, and gesture recognition. Do you know what happens when you say “OK Google” to a Google device? Is your Google Home always listening? Following on the Foundations of Tiny ML course, Applications of TinyML will give you the opportunity to see tiny machine learning applications in practice. This course features real-world case studies, guided by industry leaders, that examine deployment challenges on tiny or deeply embedded devices.

Self Paced
Self-Paced