Table of Contents

MS Azure for Applications & Infrastructure Data, AI, and AI
The Azure Fundamentals Certification Roadmap
Get the Azure Fundamentals Certification
Salary Statistics
Learning Opportunities at NetCom Learning

Modern data solutions are driven by three main factors: cloud computing, data, AI, and artificial intelligence (AI). Cloud computing allows users to access data and applications from any device or location that has internet access. Cloud computing is an affordable platform that allows for scalability and does not require capital investments. It allows for easy scaling of IT resources, allowing you to increase or decrease them as needed. This can lead to cost savings. Over 90% of enterprises have moved to the cloud as a result.
Microsoft Azure is a cloud computing platform that provides solutions including Platform-as-a-Service (PaaS), Infrastructure-as-a-Service (IaaS), and Software-as-a-Service (SaaS). These solutions can be used to store, network, virtual computing, and analytics. When organizations switched to remote work and managed their data in cloud computing, Azure services became more popular. This created the need for professionals who are familiar with Azure and its services.
The Azure Fundamentals Certification will validate the depth of your knowledge about cloud services and how they work with Azure. This certification is highly sought-after by high-ranking organizations due to the increasing demand for cloud computing professionals.
MS Azure for Applications & Infrastructure Data, AI, and AI
To get started in cloud computing, there are three basic Azure certifications.
Microsoft Certified Azure Fundamentals: This certification covers the basics of cloud concepts and the main features and functions of Azure services. It includes management tools, general security and network security as well as cost management. To become certified, you must pass the AZ900 exam.
Microsoft Certified Azure AI Fundamentals: This certification demonstrates that you are familiar with AI workloads, introductions to Azure Machine Learning (ML), computer vision concepts, and Natural Language Processing. To become certified, you must pass AI-900.
Microsoft Certified Azure Data Fundamentals: This certification covers the core concepts of data processing (relational and non-relational) and visual interpretation of data using report tools. To become certified, you must pass the DP900 exam.
These certifications provide the foundation for understanding the concepts and implementing them in a company’s business strategy. These concepts can also be used to open up new career opportunities.
The AzureCertification Roadmap: Fundamentals

After Certification, Career Opportunities
These certifications provide a foundation. These certifications are a good starting point for higher-level roles such as data scientist, data administrator and technology manager. To give your cloud career the best start, Microsoft Azure certifications are a solid strategy. You must pass the exams to master cloud basics with Azure Fundamental certifications.
These exams assess your potential and skills in core concepts of data, and your ability describe data and AI techniques using Microsoft Azure.
Get the Azure Fundamentals Certification
This pathway offers both technical and non-technical candidates the opportunity to start a career. This means that there is no prerequisite to enroll in the course.
However, possessing general computing knowledge can always help improve your understanding. Gartner predicts that worldwide end-user spending on public clouds services will reach $600 billion by 2023. This shows that there is a high demand for professionals to fill essential roles in large companies like Microsoft, Google, IBM, etc.
Optionally, you can upgrade to Expert- or Associate-level certifications. These certifications can give you an industry-endorsed advantage over your peers by giving you the ability to demonstrate that you have the right skills.
Salary Statistics
Among the many verticals where data or AI can be applied, the finance, banking, and retail sectors are the leaders. Azure experts are the leaders in the Data and AI industry when it comes to salaries. According to LinkedIn and Statista:
An MS Azure certified expert could earn between US$ 150,000 and US$ 250,000 annually.
A machine learning engineer can make a staggering US$ 143,000 per year. It is followed by computer vision engineer, data scientist, and data warehouse architect roles that pay between US$ 109,000 to US$ 126,000 per year.
Technical services data analysts could make around US$15,000