Online Course
Intro to Microsoft Azure

Further your cloud understanding by learning the basics of creating and managing infrastructure & applications in Microsofts Azure Ecosystem

4.9

808 reviews on
241 students already have enrolled
  • Institute of Analytics
  • The Association of Data Scientists
  • E-Learning Quality Network
  • European Agency for Higher Education and Accreditation
  • Global Association of Online Trainers and Examiners

Skill level:

Basic

Duration:

4 hours
  • Lessons (4 hours)

CPE credits:

6.5
CPE stands for Continuing Professional Education and represents the mandatory credits a wide range of professionals must earn to maintain their licenses and stay current with regulations and best practices. One CPE credit typically equals 50 minutes of learning. For more details, visit NASBA's official website: www.nasbaregistry.org

Accredited:

certificate

What You Learn

  • Learn Azure fundamentals through theory and hands-on exercises.
  • Explore core services: storage, databases, compute, AI, and networking.
  • Deploy, manage, and monitor Azure resources in real-world scenarios.
  • Use Identity and Access Management and security services effectively.
  • Practice beginner-level Python and SQL within the Azure ecosystem.

Topics & tools

theoryazure blob storageazure machine learning studioazure sqlazure cosmos dbvirtual machinesazure function appsazure web appsazure openaiazure ai searchmicrosoft fabricazure service busevent hubcloud networkinginfrastructure as codecloud computingpythonSQL

Your instructor

Course OVERVIEW

Description

CPE Credits: 6.5 Field of Study: Specialized Knowledge
Delivery Method: QAS Self Study

This beginner-level course provides a comprehensive introduction to the Azure cloud ecosystem, focusing on the most common aspects and services relevant to technology professionals. Through a blend of theoretical discussions and practical hands-on exercises, learners will gain a solid understanding of Azure's core functionalities. We delve into key services such as storage, databases, virtual machines, AI, messaging services, networking, security & deployment best practices,  ensuring you're well-equipped to navigate and utilize Azure effectively in real-world scenarios.

Beyond technical skills, this course also touches on broader aspects of cloud ecosystem management, offering insights that will be valuable for those in more managerial or oversight roles. You'll learn about best practices for resource organization, cost management, security principles, and monitoring within Azure, providing a holistic view of cloud operations that extends beyond individual service configurations.

This course is an excellent resource for anyone preparing for the Azure Fundamentals exam (AZ-900). While it covers most the theoretical knowledge required for the certification, it distinguishes itself by offering numerous practical exercises that solidify your understanding and provides valuable hands-on experience. By the end of this course, you'll not only have progressed your studies for the exam, but also possess the practical skills to confidently begin working with Azure.

Prerequisites

  • Web browser (access to azure.microsoft.com and a free Microsoft Azure account)

Advanced preparation

Curriculum

42 lessons 39 exercises 1 exam

Free preview

Welcome!

1.1 Welcome!

1 min

What to Expect

1.2 What to Expect

4 min

What is Cloud Computing?

1.3 What is Cloud Computing?

7 min

Azure Cloud Hierarchy & Account Setup

1.4 Azure Cloud Hierarchy & Account Setup

7 min

Visual Studio Code Setup

1.5 Visual Studio Code Setup

2 min

Orienting to Hands-On Focused Lessons

1.6 Orienting to Hands-On Focused Lessons

2 min

Start for free

$29,000

average salary increase

after moving to an AI and data science career

94%

of AI and data science graduates

successfully change

or advance their careers.

4.9

Based on 808 reviews

#1 most reviewed

AI and data learning platform on Trustpilot.

ACCREDITED certificates

Craft a resume and LinkedIn profile you’re proud of—featuring certificates recognized by leading global institutions.

Earn CPE-accredited credentials that showcase your dedication, growth, and essential skills—the qualities employers value most.

  • Institute of Analytics
  • The Association of Data Scientists
  • E-Learning Quality Network
  • European Agency for Higher Education and Accreditation
  • Global Association of Online Trainers and Examiners

Certificates are included with the Self-Study learning plan.

A LinkedIn profile mockup on a mobile screen showing Parker Maxwell, a Certified Data Analyst, with credentials from 365 Data Science listed under Licenses & Certification. A 365 Data Science Certificate of Achievement awarded to Parker Maxwell for completing the Data Analyst career track, featuring accreditation badges and a gold “Verified Certificate” seal.

How it WORKS

  • Lessons
  • Exercises
  • Projects
  • Practice Exams
  • AI Mock Interviews

Lessons

Learn through short, simple lessons—no prior experience in AI or data science needed.

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Exercises

Reinforce your learning with mini recaps, hands-on coding, flashcards, fill-in-the-blank activities, and other engaging exercises.

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Projects

Tackle real-world AI and data science projects—just like those faced by industry professionals every day.

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Practice Exams

Track your progress and solidify your knowledge with regular practice exams.

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AI Mock Interviews

Prep for interviews with real-world tasks, popular questions, and real-time feedback.

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Student REVIEWS

A collage of student testimonials from 365 Data Science learners, featuring profile photos, names, job titles, and quotes or video play icons, showcasing diverse backgrounds and successful career transitions into AI and data science roles.