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

Data Science: Machine Learning (edX) EdX
HarvardX,Harvard University

Data Science: Machine Learning (edX)

Build a movie recommendation system and learn the science behind one of the most popular and successful data science techniques. Perhaps the most popular data science methodologies come from machine learning. What distinguishes machine learning from other computer guided decision processes is that it builds prediction algorithms using data.

Self Paced
Self-Paced
Understanding the World Through Data (edX) EdX
MIT,MITx

Understanding the World Through Data (edX)

Become a data explorer – learn how to leverage data and basic machine learning algorithms to understand the world. Speech recognition, drones, and self-driving cars – things that once seemed like pure science fiction – are now widely available technologies, and just a few examples of how humans have taught machines to analyze data and make decisions. In this hands-on, introductory course, you will examine all the forms in which data exists, learn tools that uncover relationships between data, and leverage basic algorithms to understand the world from a new perspective.

Mar 13th 2024
5-12 Weeks
CS50's Introduction to Artificial Intelligence with Python (edX) EdX
HarvardX,Harvard University

CS50's Introduction to Artificial Intelligence with Python (edX)

Learn to use machine learning in Python in this introductory course on artificial intelligence. AI is transforming how we live, work, and play. By enabling new technologies like self-driving cars and recommendation systems or improving old ones like medical diagnostics and search engines, the demand for expertise in AI and machine learning is growing rapidly. This course will enable you to take the first step toward solving important real-world problems and future-proofing your career.

Self Paced
Self-Paced
Computer Applications of Artificial Intelligence and e-Construction (edX) EdX
Purdue University,PurdueX

Computer Applications of Artificial Intelligence and e-Construction (edX)

Learn the fundamentals of artificial intelligence, machine learning, natural language processing and their applications in e-Construction. This course is the third in a sequence of interrelated courses of the current computer applications in the construction industry. The emphasis of this course is the advanced computational tools including artificial intelligence, machine learning, and natural language processing, and their applications in e-Construction.

Mar 28th 2022
5-12 Weeks
Data Analysis: Statistical Modeling and Computation in Applications (edX) EdX
MIT,MITx

Data Analysis: Statistical Modeling and Computation in Applications (edX)

A hands-on introduction to the interplay between statistics and computation for the analysis of real data. -- Part of the MITx MicroMasters program in Statistics and Data Science. Data science requires multi-disciplinary skills ranging from mathematics, statistics, machine learning, problem solving to programming, visualization, and communication skills. In this course, learners will combine these foundational and practical skills with domain knowledge to ask and answer questions using real data.

May 13th 2024
13-24 Weeks
Marketing Analytics (edX) EdX
Columbia University,ColumbiaX

Marketing Analytics (edX)

Develop quantitative models that leverage business data to forecast sales and support important marketing decisions. Marketers want to understand and forecast how customers purchase products and services and how they respond to marketing initiatives. Learn how analytics help businesses drive marketing to maximize its effectiveness and optimize return on investment (ROI).

This course is archived
5-12 Weeks
Artificial Intelligence (AI) (edX) EdX
Columbia University,ColumbiaX

Artificial Intelligence (AI) (edX)

Learn the fundamentals of Artificial Intelligence (AI), and apply them. Design intelligent agents to solve real-world problems including, search, games, machine learning, logic, and constraint satisfaction problems. What do self-driving cars, face recognition, web search, industrial robots, missile guidance, and tumor detection have in common? They are all complex real world problems being solved with applications of intelligence (AI).

This course is archived
5-12 Weeks
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
Distributed Machine Learning with Apache Spark (edX) EdX
University of California, Berkeley,BerkeleyX

Distributed Machine Learning with Apache Spark (edX)

Learn the underlying principles required to develop scalable machine learning pipelines and gain hands-on experience using Apache Spark. Machine learning aims to extract knowledge from data, relying on fundamental concepts in computer science, statistics, probability and optimization.

No sessions available
4 Weeks