Artificial Intelligence on Microsoft Azure from 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.

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.

What's inside

Syllabus

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.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Teaches fundamental AI concepts and their applications across industries

Provides hands-on experience with Microsoft Azure AI services

Suitable for individuals with a general programming background

Prepares learners for the Microsoft Azure AI Fundamentals (AI-900) certification exam

Covers a diverse range of AI topics, including machine learning, natural language processing, and conversational AI

Emphasizes the ethical implications of AI development and deployment

Reviews summary

Azure ai: well received by beginners

Learners say this course titled Artificial Intelligence on Microsoft Azure is well received by beginners. Students largely give positive remarks on the course's informative content on Azure AI, as well as its easy-to-understand lectures. Based on reviews, this course is a good starting point for those interested in learning about AI and how to use Microsoft AI tools like Azure. The informative course goes into the basics of AI, the practical uses of Azure AI, and how to prepare for the AI-900 Exam. However, some learners have concerns about outdated material and broken links within the course and its materials.

Reviews highlight a focus on Azure AI products and services.

"Primer for AI on Microsoft Azure."

"Most recommended course to start with AI on Azure"

"Helped a lot to understand how AI works !!"

Many learners give positive feedback.

"Amazing course"

"Very informative course."

"Good Starting Point for Azure AI"

This course is said to be well suited for beginners.

"good course for beginners"

"Good course for Beginer who wants to learn about AI"

"This course is great for beginners, who want to know about artificial intelligence."

Students describe content as informative.

"Such a informative course"

"Very good, informative and formal!"

"I enjoyed the course and the content was easy to comprehend."

Students report some broken links.

"Many of the links don't work"

"All the links were broken."

"Many of the optional reading and demo links did not work."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Artificial Intelligence on Microsoft Azure with these activities:

Review AI Principles

Show steps

This will help strengthen understanding of fundamental principles of AI before beginning the course.

Browse courses on Machine Learning

Show steps

Review basic statistics and probability concepts.
Explore different types of machine learning algorithms.
Identify common AI applications.

Kaggle Competitions Practice

Show steps

Kaggle competitions provide real-world, hands-on experience with AI tasks.

Browse courses on Machine Learning

Show steps

Choose a competition and review the problem statement.
Download the data and explore different features.
Experiment with various machine learning algorithms and compare results.
Submit predictions and analyze performance.

AI Blog Post

Show steps

Writing a blog post will force you to synthesize and apply the knowledge acquired in the course.

Browse courses on Artificial Intelligence

Show steps

Choose a specific AI topic.
Research and gather relevant information.
Write a draft that clearly explains your ideas.
Ask for feedback and revise your writing.

One other activity

Expand to see all activities and additional details

Show all four activities

AI Chatbot

Show steps

Building a chatbot provides practical experience in designing, developing, and deploying AI solutions.

Browse courses on Natural Language Processing

Show steps

Define the scope and purpose of the chatbot.
Choose a development platform and language.
Design the chatbot's user interface and conversation flow.
Train the chatbot using machine learning techniques.
Test and deploy the chatbot.

Career center

Learners who complete Artificial Intelligence on Microsoft Azure will develop knowledge and skills that may be useful to these careers:

AI Consultant

An AI Consultant helps organizations adopt and implement AI solutions. This course can help AI Consultants understand the ethical considerations and principles of AI.

See salaries and explore the career path for AI Consultant

Machine Learning Engineer

A Machine Learning Engineer builds, deploys, and maintains machine learning models. This course may be useful in helping aspiring ML Engineers prepare for certification and learning the principles of ethical AI.

See salaries and explore the career path for Machine Learning Engineer

AI Developer

An AI Developer designs, builds, and maintains AI-powered applications. This course may be useful in learning some of the ethical considerations a Developer should keep in mind.

See salaries and explore the career path for AI Developer

Software Engineer

A Software Engineer designs, develops, tests, and maintains software systems. This course may be useful for Software Engineers who want to build a foundation in Azure AI.

See salaries and explore the career path for Software Engineer

Data Engineer

A Data Engineer designs, builds, and maintains data pipelines and infrastructure. This course may be useful for Data Engineers who are getting started with Azure AI.

See salaries and explore the career path for Data Engineer

Cloud Architect

A Cloud Architect designs and manages cloud computing systems. This course may be useful for Cloud Architects who are designing Azure AI solutions.

See salaries and explore the career path for Cloud Architect

AI Researcher

An AI Researcher develops and improves artificial intelligence algorithms and models. This course may be useful in helping AI Researchers learn about some of the principles and considerations of Azure.

See salaries and explore the career path for AI Researcher

AI Trainer

An AI Trainer provides instruction and support on AI technologies and tools. Someone in this role can use this course to build a foundation in Azure AI concepts and prepare for certification.

See salaries and explore the career path for AI Trainer

Data Scientist

A Data Scientist analyzes data to build solutions that boost efficiency, innovation, and growth. The concepts of machine learning discussed in this course may be of use to Data Scientists who are getting started with Azure.

See salaries and explore the career path for Data Scientist

Data Analyst

A Data Analyst interprets and communicates meaningful insights from data. This course may be useful for Data Analysts who want to learn the basics of AI in Azure.

See salaries and explore the career path for Data Analyst

Product Manager

A Product Manager plans and executes the development, marketing, and launch of a product. This course may be useful for Product Managers who oversee AI-powered products.

See salaries and explore the career path for Product Manager

AI Content Writer

An AI Content Writer creates and edits content about AI technologies and applications. This course may be useful in understanding AI and how to communicate it clearly to audiences.

See salaries and explore the career path for AI Content Writer

Business Analyst

A Business Analyst identifies and defines business needs and solutions. This course may be useful for Business Analysts who want to learn how AI can aid in business problem solving.

See salaries and explore the career path for Business Analyst

IT Manager

An IT Manager plans, implements, and manages an organization's IT infrastructure. This course may be useful for IT Managers who want to learn how to develop Azure AI solutions.

See salaries and explore the career path for IT Manager

AI Engineer

An AI Engineer designs, builds, and deploys machine learning models and algorithms. This course may be of use in learning some of the ethical considerations an AI Engineer will encounter. Additionally, this course may help build a foundation for gaining the certification needed for the role.

See salaries and explore the career path for AI Engineer