Online Course
Intro to Microsoft Azure

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

4.8

862 reviews on
965 students already 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
  • 1. Azure Cloud Concepts
    23 min
    23 min
    Welcome! Free
    What to Expect Free
    What is Cloud Computing? Free
    Azure Cloud Hierarchy & Account Setup Free
    Visual Studio Code Setup Free
    Orienting to Hands-On Focused Lessons Free
    Exercise Free
  • 2. Storage and Databases
    35 min
    35 min
    Create your first resource group
    Azure Blob Storage
    Azure SQL Files
    Azure SQL: Theory
    Azure SQL: Setup
    Azure SQL: Practical
    Key Takeaways & Additional Reading
    Exercise
  • 3. Compute Services
    42 min
    42 min
    Azure Virtual Desktop
    Azure Virtual Machines
    Azure Function Apps
    Azure Web Apps
    Key Takeaways & Additional Reading
    Exercise
  • 4. Data & AI Services
    35 min
    35 min
    Azure ML
    Azure AI Foundry: Theory
    Azure AI Foundry: Practical
    Azure AI Search
    Key Takeaways & Additional Reading
    Exercise
  • 5. Messaging Services
    23 min
    23 min
    Azure Service Bus: Theory
    Azure Service Bus: Practical
    Azure Event Hubs
    Key Takeaways & Additional Reading
    Exercise
  • 6. Networking Services
    19 min
    19 min
    Azure Virtual Networks
    Other Azure Networking Services
    Key Takeaways & Additional Reading
    Exercise
  • 7. IaM & Security Services
    17 min
    17 min
    Zero-Trust Model & Microsoft Entra ID
    Microsoft Defender for Cloud
    Key Takeaways  & Additional Reading
    Exercise
  • 8. Deploying, Managing & Monitoring Services
    49 min
    49 min
    Azure DevOps & Infrastructure-as-Code: Theory
    Azure DevOps & Infrastructure-as-Code: Setup
    Azure DevOps & Infrastructure-as-Code: Explainer
    Azure DevOps & Infrastructure-as-Code: Practical
    Cost Management
    Monitoring Services
    Key Takeaways & Additional Reading
    Exercise
  • 9. Conclusions
    3 min
    3 min
    Preventing Hidden Costs
    Concluding Thoughts
  • 10. Course exam
    120 min
    120 min
    Course exam

Free lessons

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.

4.8

Based on 862 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.

Try for free

Exercises

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

Try for free

Projects

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

Try for free

Practice exams

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

Try for free

AI mock interviews

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

Try for free

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.