EdX

AI for Everyone: Master the Basics (edX)

Offered by IBM,
AI for Everyone: Master the Basics (edX)

Learn what Artificial Intelligence (AI) is by understanding its applications and key concepts including machine learning, deep learning and neural networks.

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!
In this course, you will learn what AI is and understand its applications and use cases and how it is transforming our lives. You will explore basic AI concepts including machine learning, deep learning, and neural networks as well as use cases and applications of AI. You will be exposed to concerns surrounding AI, including ethics, bias, jobs and the impacts on society.
You will take a glimpse of the future with AI, get advice for starting an AI related career, and wrap up the course by demonstrating AI in action with a mini project.
This AI for Everyone course does not require any programming or computer science expertise and is designed to introduce the basics of AI to anyone whether you have a technical background or not.
This course is part of the:

What you'll learn

  • Understand what is AI, its applications and use cases and how it is transforming our lives
  • Explain terms like Machine Learning, Deep Learning, and Neural Networks
  • Describe several issues and ethical concerns surrounding AI
  • Articulate advice from experts about learning and starting a career in AI
Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Applications of TinyML (edX) EdX
HarvardX,Harvard University

Applications of TinyML (edX)

Statistics & Data Analysis

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
Machine Learning Anomaly Detection Tiny Machine Learning (TinyML) Professional Certificate
Details
Python for Data Science (edX) EdX
University of California, San Diego,UC San DiegoX

Python for Data Science (edX)

Statistics & Data Analysis CS: Programming

Learn to use powerful, open-source, Python tools, including Pandas, Git and Matplotlib, to manipulate, analyze, and visualize complex datasets. In the information age, data is all around us. Within this data are answers to compelling questions across many societal domains (politics, business, science, etc.). But if you had access to a large dataset, would you be able to find the answers you seek?

Self Paced
Self-Paced
Programming Python Machine Learning
Details
Introduction to Cloud Computing (edX) EdX
IBM

Introduction to Cloud Computing (edX)

Security & Networking

Master the core concepts in Cloud Computing, from service and deployment models, to cloud architecture, security, new technologies, and possible careers. This course introduces you to the core concepts of cloud computing. You will gain the foundational knowledge required for understanding cloud computing from both business and practitioner perspectives.

Self Paced
Self-Paced
Security SaaS Cloud Computing
Details
Impacto de la Inteligencia Artificial en la Innovación de Negocios (edX) EdX
Universidad Anáhuac,AnahuacX

Impacto de la Inteligencia Artificial en la Innovación de Negocios (edX)

Business Computer Science

En este curso aprenderás sobre los factores importantes que se requieren para fundar un negocio digital, desde la importancia del propósito del negocio, hasta las implementaciones de la IA en las diferentes industrias. La inteligencia artificial es una disciplina de las ciencias de la computación que ha buscado emular los procesos del pensamiento humano para crear máquinas inteligentes que logren tomar decisiones con base en los datos que se presenten.

Self Paced
Self-Paced
Artificial Intelligence Business Innovations Digital Marketing
Details
Computing for Data Analysis (edX) EdX
Georgia Institute of Technology,GTx

Computing for Data Analysis (edX)

CS: Software Engineering Statistics & Data Analysis

A hands-on introduction to basic programming principles and practice relevant to modern data analysis, data mining, and machine learning. The modern data analysis pipeline involves collection, preprocessing, storage, analysis, and interactive visualization of data. In the course, you’ll see how computing and mathematics come together.

Aug 24th 2026
13-24 Weeks
Programming Python Computing
Details
PyTorch Basics for Machine Learning (edX) EdX
IBM

PyTorch Basics for Machine Learning (edX)

Statistics & Data Analysis Data Science

This course is the first part in a two part course and will teach you the fundamentals of PyTorch. In this course you will implement classic machine learning algorithms, focusing on how PyTorch creates and optimizes models. You will quickly iterate through different aspects of PyTorch giving you strong foundations and all the prerequisites you need before you build deep learning models.

Self Paced
Self-Paced
ML Machine Learning Linear Regression
Details
Introduction to Bayesian Statistics Using R (edX) EdX
University of Canterbury,UCx

Introduction to Bayesian Statistics Using R (edX)

Statistics & Data Analysis Data Science

Learn the fundamentals of Bayesian approach to data analysis, and practice answering real life questions using R. Basics of Bayesian Data Analysis Using R is part one of the Bayesian Data Analysis in R professional certificate. Bayesian approach is becoming increasingly popular in all fields of data analysis, including but not limited to epidemiology, ecology, economics, and political sciences. It also plays an increasingly important role in data mining and deep learning. Let this course be your first step into Bayesian statistics.

Self Paced
Self-Paced
Data Mining Data Analysis ANOVA
Details
Applied Deep Learning Capstone Project (edX) EdX
IBM

Applied Deep Learning Capstone Project (edX)

Statistics & Data Analysis Data Science

In this capstone project, you will apply your newly acquired deep learning knowledge and expertise to a real world challenge. In this capstone project, you'll use a Deep Learning library of your choice to develop, train, and test a Deep Learning model. Load and preprocess data for a real problem, build the model and then validate it.

Self Paced
Self-Paced
Deep Learning Deep Learning Professional Certificate
Details