Preparing for AI-900: Microsoft Azure AI Fundamentals exam from Coursera

Microsoft certifications give you a professional advantage by providing globally recognized and industry-endorsed evidence of mastering skills in digital and cloud businesses. In this course, you will prepare to take the AI-900 Microsoft Azure AI Fundamentals certification exam.

You will refresh your knowledge of fundamental principles of machine learning on Microsoft Azure. You will go back over the main consideration of AI workloads and the features of computer vision, Natural Language Processing (NLP), and conversational AI workloads on Azure. In short, you will recap all the core concepts and skills that are measured by the exam.

You will test your knowledge in a series of practice exams mapped to all the main topics covered in the AI-900 exam, ensuring you’re well prepared for certification success. You will prepare to pass the certification exam by taking practice tests with similar formats and content.

You will also get a more detailed overview of the Microsoft certification program and where you can go next in your career. You’ll also get tips and tricks, testing strategies, useful resources, and information on how to sign up for the AI-900 proctored exam. By the end of this course, you will be ready to sign-up for and take the AZ-900 exam.

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

Prepare for the AI-900: Microsoft Azure AI Fundamentals exam

In this module, you’ll also have access to resources that will help you to prepare for the proctored exam, enhance your study techniques, and help develop successful exam strategies. You will have an opportunity to explore some other Microsoft certifications paths that can help to advance your career.

Exam Prep 1

In this module, you will have an opportunity to recap some of the key points from Courses 1 & 2 of the Microsoft AI-900 AI Fundamentals Specialization and take a practice exam that covers the related skills measured in the AI-900 certification exam.

Exam prep 2

In this module, you will have an opportunity to recap some of the key points from Courses 3 & 4 of the Microsoft AI-900 AI Fundamentals Specialization and take a practice exam that covers the related skills measured in the AI-900 certification exam.

Exam prep 3

In this module, you will take a practice exam that covers the skills measured in the Exam AI-900: Microsoft Azure AI Fundamentals.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Appropriate for non-technical backgrounds

Covers foundational principles and applications of AI in Azure

Well-structured with practice exams and resources for exam preparation

Provides career guidance and exploration of other Microsoft certifications

May require prior knowledge of basic computer literacy

Does not cover advanced concepts or hands-on implementation of AI models

Reviews summary

Excellent resources for ai-900 exam prep

Learners say that preparing for the AI-900 exam with this course is excellent. Students have largely positive reviews for the course instructor, materials, and overall informative qualities. Most learners highly recommend this course to others also studying for the AI-900 exam.

The lecturer is detailed and good at explaining technical terms.

"the lecturer is detailed and good at explaining technical terms into simple ones"

Course is helpful for passing the AI-900 exam.

"I scored 900 in the exam because of the hands on experince this course provided."

"I am eager to express my sincere gratitude."

"This is the second course I've taken on your platform that has enabled me to pass Microsoft exams with flying colors."

Some exercises use outdated software versions.

"So many of the exercises on this course are out of date relative to the version of the software."

"Often you cannot follow the instructions because they are no longer relevant to the software."

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 Preparing for AI-900: Microsoft Azure AI Fundamentals exam with these activities:

Review Azure Machine Learning Base Concepts

Show steps

Apply knowledge of the primary terms and vocabulary for Azure Machine Learning to this course's content to create a stronger foundation.

Browse courses on Azure Fundamentals

Show steps

Review the introduction of Machine Learning Basics and Azure Machine Learning - Free training from Microsoft.
Review the basic terminology and definitions.
Try to explain each key term on your own or with a peer study group.

Explore Azure Machine Learning Tutorials and Learning Resources

Show steps

Gain hands-on experience and reinforce your understanding of Azure Machine Learning through guided tutorials and exercises.

Browse courses on Self-paced Learning

Show steps

Browse through the Azure Machine Learning documentation and tutorials.
Select a tutorial aligned with your interests or skill level.
Follow the instructions and complete the exercises.

Work Through the AI-900 Practice Exams

Show steps

Increase your confidence and familiarity with the types of questions asked on the AI-900 exam.

Show steps

Take the practice exams provided in the course.
Review your answers and identify areas where you need improvement.
Research or review the concepts you are unsure about.

Five other activities

Expand to see all activities and additional details

Show all eight activities

Collaborate with Other Students on AI-900

Show steps

Connect with peers and engage in discussions to clarify concepts, share insights, and reinforce learning.

Show steps

Join or create a study group for the AI-900 certification.
Regularly participate in discussions and share your understanding.
Collaborate on practice exams, projects, or assignments.

Attend Azure Machine Learning Workshops or Meetups

Show steps

Gain exposure to real-world applications of Azure Machine Learning, connect with industry professionals, and enhance your practical skills.

Browse courses on Hands-on Experience

Show steps

Search for upcoming Azure Machine Learning workshops or meetups.
Register to attend and participate actively.
Network with other attendees and experts in the field.

Build Your Own Azure Machine Learning Model

Show steps

Solidify your understanding of Azure Machine Learning by implementing your own end-to-end ML solution before taking the exam.

Show steps

Identify a real-world problem or case study.
Collect and clean your data.
Choose an appropriate algorithm and train your model.
Evaluate and refine your model to improve performance.
Deploy your model to Azure Machine Learning.

Develop Your Own Azure Machine Learning Notes or Study Guide

Show steps

Enhance your understanding by actively organizing, summarizing, and restructuring course content.

Browse courses on Content Creation

Show steps

Review the course modules and identify key concepts.
Create your own notes, diagrams, or summaries.
Organize your notes in a logical structure.

Contribute to the Azure Machine Learning Community

Show steps

Deepen your understanding and demonstrate your expertise by actively contributing to the Azure Machine Learning open-source community.

Browse courses on Code Sharing

Show steps

Identify an open-source project related to Azure Machine Learning.
Review the project's documentation and code.
Suggest improvements or contribute new features.

Career center

Learners who complete Preparing for AI-900: Microsoft Azure AI Fundamentals exam will develop knowledge and skills that may be useful to these careers:

Machine Learning Engineer

A Machine Learning Engineer designs, develops, and deploys machine learning models. They work with data scientists, software engineers, and other stakeholders to identify opportunities for using machine learning to solve business problems. This course helps build a foundation in machine learning principles and provides hands-on experience with Microsoft Azure AI tools, preparing you for success as a Machine Learning Engineer.

See salaries and explore the career path for Machine Learning Engineer

AI Engineer

An AI Engineer designs, develops, and deploys AI systems. They work with stakeholders to identify opportunities for using AI to solve business problems. This course helps build a foundation in AI principles and provides hands-on experience with Microsoft Azure AI tools, preparing you for success as an AI Engineer.

See salaries and explore the career path for AI Engineer

Data Analyst

A Data Analyst collects, cleans, and analyzes data to identify trends and patterns. They then use this information to develop insights and recommendations for business stakeholders. This course provides a foundation in machine learning and data analysis, preparing you for success as a Data Analyst.

See salaries and explore the career path for Data Analyst

Data Scientist

A Data Scientist uses data to solve business problems. They collect, clean, and analyze data to identify trends and patterns. They then use this information to develop predictive models and other data-driven insights. This course helps build a foundation in machine learning and data analysis, preparing you for success as a Data Scientist.

See salaries and explore the career path for Data Scientist

AI Researcher

An AI Researcher conducts research in the field of artificial intelligence. They develop new algorithms and techniques for solving complex problems. This course provides a foundation in AI principles and machine learning, which can be helpful for AI Researchers who want to stay up-to-date on the latest advances in the field.

See salaries and explore the career path for AI Researcher

Software Engineer

A Software Engineer designs, develops, and maintains software applications. They work with stakeholders to understand requirements, and then use their technical skills to create software solutions. This course provides a foundation in machine learning and Azure AI tools, which can be helpful for Software Engineers who want to incorporate machine learning into their projects.

See salaries and explore the career path for Software Engineer

Technical Writer

A Technical Writer creates documentation for software and other technical products. They work with engineers and other technical experts to understand the product, and then write clear and concise documentation for users. This course provides a foundation in AI principles and machine learning, which can be helpful for Technical Writers who want to write documentation for AI products.

See salaries and explore the career path for Technical Writer

Educator

An Educator teaches students about a variety of subjects. They work with students to develop their knowledge and skills, and to prepare them for success in their careers. This course provides a foundation in AI principles and machine learning, which can be helpful for Educators who want to teach students about AI.

See salaries and explore the career path for Educator

Sales Engineer

A Sales Engineer provides technical expertise to customers during the sales process. They work with sales teams to identify customer needs, and then use their technical skills to demonstrate how products can meet those needs. This course provides a foundation in AI principles and machine learning, which can be helpful for Sales Engineers who want to sell AI products.

See salaries and explore the career path for Sales Engineer

Product Manager

A Product Manager manages the development and launch of new products. They work with stakeholders to understand requirements, and then use their technical and business skills to develop and launch successful products. This course provides a foundation in AI principles and machine learning, which can be helpful for Product Managers who want to incorporate AI into their products.

See salaries and explore the career path for Product Manager

Project Manager

A Project Manager plans, executes, and closes projects. They work with stakeholders to define project scope, timelines, and budgets. This course provides a foundation in AI principles and machine learning, which can be helpful for Project Managers who want to incorporate AI into their projects.

See salaries and explore the career path for Project Manager

Business Analyst

A Business Analyst analyzes business processes and identifies opportunities for improvement. They work with stakeholders to understand requirements, and then use their analytical skills to develop solutions. This course provides a foundation in AI principles and machine learning, which can be helpful for Business Analysts who want to incorporate AI into their projects.

See salaries and explore the career path for Business Analyst

Marketing Manager

A Marketing Manager develops and executes marketing campaigns. They work with stakeholders to define marketing goals, and then use their marketing skills to develop and execute campaigns that achieve those goals. This course provides a foundation in AI principles and machine learning, which can be helpful for Marketing Managers who want to incorporate AI into their marketing campaigns.

See salaries and explore the career path for Marketing Manager

Consultant

A Consultant provides advice and guidance to clients on a variety of topics. They work with clients to understand their needs, and then use their expertise to develop and implement solutions. This course provides a foundation in AI principles and machine learning, which can be helpful for Consultants who want to advise clients on AI-related topics.

See salaries and explore the career path for Consultant

Cloud Architect

A Cloud Architect designs and manages cloud computing solutions. They work with stakeholders to understand requirements, and then use their technical skills to design and implement cloud solutions. This course provides a foundation in Azure AI tools, which can be helpful for Cloud Architects who want to incorporate AI into their cloud solutions.

See salaries and explore the career path for Cloud Architect