Coursera

Artificial Intelligence on Microsoft Azure (Coursera)

Offered by Microsoft,
Artificial Intelligence on Microsoft Azure (Coursera)

Whether you're just beginning to work with Artificial Intelligence (AI) or you already have AI experience and are new to Microsoft Azure, this course provides you with everything you need to get started. Artificial Intelligence (AI) empowers amazing new solutions and experiences; and Microsoft Azure provides easy to use services to help you build solutions that seemed like science fiction a short time ago; enabling incredible advances in health care, financial management, environmental protection, and other areas to make a better world for everyone.

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

In this course, you will learn the key AI concepts of machine learning, anomaly detection, computer vision, natural language processing, and conversational AI. You’ll see some of the ways that AI can be used and explore the principles of responsible AI that can help you understand some of the challenges facing developers as they try to create ethical AI solutions.
This course will help you prepare for Exam AI-900: Microsoft Azure AI Fundamentals. This is the first course in a five-course program that prepares you to take the AI-900 certification exam. This course teaches you the core concepts and skills that are assessed in the AI fundamentals exam domains. This beginner course is suitable for IT personnel who are just beginning to work with Microsoft Azure and want to learn about Microsoft Azure offerings and get hands-on experience with the product. Microsoft Azure AI Fundamentals can be used to prepare for other Azure role-based certifications like Microsoft Azure Data Scientist Associate or Microsoft Azure AI Engineer Associate, but it is not a prerequisite for any of them.
This course is intended for candidates with both technical and non-technical backgrounds. Data science and software engineering experience is not required; however, some general programming knowledge or experience would be beneficial. To be successful in this course, you need to have basic computer literacy and proficiency in the English language. You should be familiar with basic computing concepts and terminology, general technology concepts, including concepts of machine learning and artificial intelligence.

Course 1 of 5 in the Microsoft Azure AI-900 AI Fundamentals Exam Prep Specialization

Syllabus

WEEK 1
Artificial Intelligence workloads and considerations
Artificial Intelligence (AI) empowers amazing new solutions and experiences, and Microsoft Azure provides easy-to-use services to help you get started. In this module, you will see how Artificial Intelligence enables the creation of powerful solutions to many kinds of problems. AI systems can exhibit human characteristics to analyze the world around them, make predictions or inferences, and act on them in ways that we could only imagine a short time ago.
You will also see how with this power, comes responsibility. As developers of AI solutions, we must apply principles that ensure that everyone benefits from AI without disadvantaging any individual or section of society.

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Introduction to Machine Learning (Coursera) Coursera
Duke University

Introduction to Machine Learning (Coursera)

Data Science

This course will provide you a foundational understanding of machine learning models (logistic regression, multilayer perceptrons, convolutional neural networks, natural language processing, etc.) as well as demonstrate how these models can solve complex problems in a variety of industries, from medical diagnostics to image recognition to text prediction.

Sep 21st 2026
5-12 Weeks
ML NLP Machine Learning
Details
Exploring AI Possibilities (Coursera) Coursera
Fred Hutchinson Cancer Center

Exploring AI Possibilities (Coursera)

Computer Science

This course on Exploring AI Possibilities for Decision Makers explores the growing use of AI across disciplines and its potential benefits and challenges. The course covers necessary context, such as discussing what AI is, how it works, and key definitions in AI. Through exploring the many AI possibilities at your fingertips, you will build leadership skills for helping your business or community work more efficiently, creatively, and ethically.

Sep 21st 2026
1 Week
Artificial Intelligence AI Coursera Plus
Details
Determining AI Needs (Coursera) Coursera
Fred Hutchinson Cancer Center

Determining AI Needs (Coursera)

Data Science

There are a ever increasing number of options, strategies and solutions for integrating AI solutions into a project. It can feel overwhelming to understand what these options entail let alone understand how to decide what solution best fits a use case. In this course we aim to give individuals the basic info they need to make basic plans for integrating AI tools into their project.

Sep 21st 2026
1 Week
Artificial Intelligence Project Planning AI
Details
Artificial Intelligence: Ethics & Societal Challenges (Coursera) Coursera
Lund University

Artificial Intelligence: Ethics & Societal Challenges (Coursera)

Social Sciences

Artificial Intelligence: Ethics & Societal Challenges is a four-week course that explores ethical and societal aspects of the increasing use of artificial intelligent technologies (AI). The aim of the course is to raise awareness of ethical and societal aspects of AI and to stimulate reflection and discussion upon implications of the use of AI in society.

Sep 21st 2026
4 Weeks
Artificial Intelligence Democracy Consciousness
Details
Attention Mechanism (Coursera) Coursera
Google Cloud

Attention Mechanism (Coursera)

CS: Information & Technology

This course will introduce you to the attention mechanism, a powerful technique that allows neural networks to focus on specific parts of an input sequence. You will learn how attention works, and how it can be used to improve the performance of a variety of machine learning tasks, including machine translation, text summarization, and question answering.

Sep 21st 2026
1 Week
Machine Learning Neural Networks Attention
Details
Using R for Regression and Machine Learning in Investment (Coursera) Coursera
Sungkyunkwan University - SKKU

Using R for Regression and Machine Learning in Investment (Coursera)

Economics & Finance Business

In this course, the instructor will discuss various uses of regression in investment problems, and she will extend the discussion to logistic, Lasso, and Ridge regressions. At the same time, the instructor will introduce various concepts of machine learning. You can consider this course as the first step toward using machine learning methodologies in solving investment problems. The course will cover investment analysis topics, but at the same time, make you practice it using R programming. This course's focus is to train you to use various regression methodologies for investment management that you might need to do in your job every day and make you ready for more advanced topics in machine learning.

Sep 21st 2026
2 Weeks
Machine Learning Regression Investment
Details
Supply Chain Analytics (Coursera) Coursera
IIT Roorkee

Supply Chain Analytics (Coursera)

Business

Welcome to Supply Chain Analytics! In this course you will learn about advanced decision problems in Supply Chain Management and the application of optimisation formulations and their solutions to address them. The course has been designed to help you advance your career as business analysts, supply chain managers, and other similar roles by learning in-demand skills to increase efficiency, drive organisational growth, and make a positive business impact. The course also offers a good starting point to those with purely academic and research interests.

Sep 21st 2026
5-12 Weeks
Machine Learning Forecasting Supply Chain
Details
Deep Learning for Business (Coursera) Coursera
Yonsei University

Deep Learning for Business (Coursera)

Management & Leadership

Your smartphone, smartwatch, and automobile (if it is a newer model) have AI (Artificial Intelligence) inside serving you every day. In the near future, more advanced “self-learning” capable DL (Deep Learning) and ML (Machine Learning) technology will be used in almost every aspect of your business and industry. So now is the right time to learn what DL and ML is and how to use it in advantage of your company. This course has three parts, where the first part focuses on DL and ML technology based future business strategy including details on new state-of-the-art products/services and open source DL software, which are the future enablers.

Sep 21st 2026
5-12 Weeks
Business ML Artificial Intelligence
Details