To get the most out of this book

To follow along with the examples in this book you will need an active Azure subscription. Knowledge about the following concepts will also be helpful in understanding the implementations presented in this book.

Basic Microsoft Azure knowledge:

• An understanding of core cloud concepts, such as what cloud computing is, the differences between Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS), and the benefits of using Azure cloud services.
• Familiarity with the Azure Portal, which is the primary user interface for interacting with Azure services. This includes navigating the dashboard, creating and managing resources, and understanding the layout and tools available in the portal.
• Familiarity with basic commands in Azure Command Line Interface (CLI) and PowerShell for managing Azure resources.

Machine learning:

An understanding of fundamental ML concepts, including supervised and unsupervised learning, along with basic algorithms such as linear regression, logistic regression, decision trees, and k-means clustering.

Programming Skills:

Basic proficiency in a programming language commonly used in data science, such as Python or R, including familiarity with libraries such as Pandas, NumPy, Scikit-learn (for Python).

Basic understanding of cybersecurity:

A basic understanding of cybersecurity involves grasping key concepts, practices, and strategies used to protect computer systems, networks, and data from cyber-attacks or unauthorized access.

If you are using the digital version of this book, we advise you to type the code yourself or access the code from the book’s GitHub repository (a link is available in the next section). Doing so will help you avoid any potential errors related to the copying and pasting of code.