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

Traffic lights

Read about what's good

what should give you pause

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 fundamentals for certification

Learners say this course provides an excellent foundational understanding of Artificial Intelligence concepts on Microsoft Azure, making it a perfect starting point for those new to AI or Azure. It's consistently highlighted as being highly effective for preparing for the AI-900 certification exam. Students particularly praise the clear and concise explanations from the instructor and the practical, hands-on labs and demonstrations that solidify learning. While broadly positive, some learners with prior technical background find the content too basic or superficial, wishing for more in-depth coverage and challenging exercises. Overall, it's seen as a well-structured and accessible introduction to Azure AI services.

Includes timely and important discussions on ethical AI principles.

"I liked the focus on responsible AI principles."

"The responsible AI module was a pleasant surprise and very timely."

"I enjoyed the discussions on ethical AI, which is becoming increasingly important."

The instructor explains difficult concepts clearly and with expertise.

"The instructor's explanations were concise and engaging. Highly recommended for a solid foundation."

"Excellent foundational course! The instructor was very clear and knowledgeable."

"The instructor is very knowledgeable and explains difficult concepts with ease. I appreciated the balance between theory and practical application."

Hands-on labs and demonstrations are valuable for understanding concepts.

"The labs are incredibly helpful for hands-on practice. It gives me a great head start."

"The hands-on labs were crucial for understanding the practical side. Using Azure's AI services were invaluable."

"The practical exercises are well-designed and reinforce the learning effectively. The practical demos were helpful."

An ideal starting point for newcomers to Artificial Intelligence or Microsoft Azure.

"This course is simply amazing. It's a perfect starting point for anyone new to AI or Azure."

"As someone with a non-technical background looking to transition into AI, this course was a godsend. It breaks down complex topics."

"The way concepts like ML, CV, NLP are introduced is very accessible. Perfect for initial exposure."

Effectively prepares learners for the Microsoft Azure AI Fundamentals exam.

"I feel well-prepared for the AI-900 exam. The instructor's explanations were concise and engaging."

"Excellent foundational course! It is spot on for AI-900 prep and getting familiar with Azure AI."

"Fantastic course for anyone aiming for the AI-900 certification. I passed the AI-900 after this, so it served its purpose."

Provides a broad overview but lacks technical depth for experienced learners.

"The course provides a decent overview, but it's quite basic. If you already have some background in AI, you might find it too superficial."

"It's an introductory course, and it delivers on that. The problem is that it's *very* introductory. I felt like I was just scratching the surface."

"I found this course quite basic and disappointing. It didn't provide enough technical detail for someone like me with a software development background."

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

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

Browse courses on Machine Learning

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

Kaggle Competitions Practice

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

Browse courses on Machine Learning

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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

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

Browse courses on Artificial Intelligence

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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

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Show all four activities

AI Chatbot

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

Browse courses on Natural Language Processing

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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:

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 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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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