Microsoft Certified: Azure AI Fundamentals & Associate Certifications Training Guide

Introduction

Cloud computing and Artificial Intelligence are no longer just buzzwords—they are shaping careers and redefining industries. Microsoft Azure, one of the leading cloud providers, has developed a comprehensive certification path that validates professionals’ skills across AI, Machine Learning, Data Engineering, and Cloud Administration.

At Prepzee, we believe learners need clarity and guidance. This blog is your complete Azure Certification Training Guide for 2025, covering Fundamentals, Associate, Expert, and Security certifications. Whether you are just beginning with an AI Fundamentals course or pursuing advanced Azure Data Engineer training, this guide will help you choose the right certification path.

Why Choose Microsoft Azure Certifications?

• Industry Demand – Over 95% of Fortune 500 companies use Azure services.
• Career Growth – Certifications like Azure AI Engineer Associate and Data Engineer Associate are globally recognized.
• Future-Ready Skills – Azure seamlessly integrates AI and Machine Learning, keeping your skills relevant.
• Flexibility – Suitable for beginners, intermediate learners, and experts.
• Prepzee Advantage – With structured AI ML courses and hands-on labs, you can learn efficiently and confidently.

Microsoft Azure Certifications

Microsoft offers a wide range of certifications covering fundamentals, associate, expert, and security domains. These certifications validate skills across AI, machine learning, cloud infrastructure, data analytics, and security.

Microsoft now offers 14 Microsoft Azure certifications, each with a dedicated exam. These certifications were designed in collaboration with the community to align with specific job role requirements. At the foundational level, Microsoft provides three key certifications: Azure AI Fundamentals (AI-900), Azure Fundamentals (AZ-900), and Azure Data Fundamentals (DP-900).

The certifications are categorized into:

• Fundamentals Level – Beginner-friendly, ideal for those starting out.
• Associate Level – Focused on hands-on technical roles like administrators, developers, and data engineers.
• Expert Level – Designed for senior professionals, such as solutions architects and DevOps experts.
• Security Certifications – Specializations in identity management, compliance, and cybersecurity.

Microsoft Azure Certification Levels

Microsoft certifications are structured into four levels:

• Fundamentals – No prerequisites, best for beginners.
• Associate – Mid-level, requires some technical knowledge
• Expert – Senior-level certifications, advanced expertise required.
• Specialty/Security – Role-based certifications in AI, data, and security.

Fundamentals Certifications
These are entry-level certifications designed for individuals beginning their journey with Azure or cloud concepts. They require no prerequisites and cover foundational knowledge.

1) AZ-900: Microsoft Azure Fundamentals

• Certification Name: Microsoft Certified: Azure Fundamentals

• Exam Code: AZ-900
• Prerequisites: None
• Exam Cost: USD 99 (varies by region)
• Schedule Exam: Click here

 Role / Purpose:
AZ-900 is ideal for non-technical and technical audiences who want to validate fundamental cloud knowledge – a solid starting point before diving into role-based Azure exams.

Preparation Tips:

• Use Microsoft Learn’s free modules on cloud concepts, core services, pricing, and support.
• Practice navigating the Azure portal, basic service creation (VM, storage, networks).
• Use hands-on labs or free-tier Azure accounts to explore resources.

2) AI-900: Microsoft AI Fundamentals

• Certification Name: Microsoft Certified: Azure AI Fundamentals
• Exam Code: AI-900
• Prerequisites: None (but a basic awareness of AI/ML helps) 
• Format: The exam usually has 40-60 questions. You might see multiple-choice, drag-and-drop, and case study questions.
• Time: You’ll have about 60 minutes to complete the exam.
• Cost: The price is around $99 USD, but it can vary based on your location.
• Passing Score: You need to score 700 out of 1000 to pass.
• Schedule Exam: Click Here

Role / Purpose:
AI-900 is your entry point into AI on Azure. It helps candidates get acquainted with AI concepts, Azure Cognitive Services, and how to align AI solutions. Ideal if you’re targeting roles or learning paths involving azure ai fundamentals,ai certification course, or azure machine learning.

Preparation Tips:

• Focus on concept clarity rather than code-heavy topics.
• Try basic experiments using Azure Cognitive Services (vision, translation, sentiment analysis).
• Leverage practice labs and scenario-based quizzes.

3) DP-900: Microsoft Azure Data Fundamentals

• Certification Name: Microsoft Certified: Azure Data Fundamentals
• Exam Code: DP-900
• Prerequisites: None 
• Exam Cost: USD 99 
• Languages: Same multilingual support as AZ-900 / AI-900 
• Schedule Exam: Click Here

Role / Purpose:
DP-900 lays the groundwork for data roles. It is especially helpful if you plan to pursue azure data engineer training azure data engineer course, or certifications in data analytics / reporting.

Preparation Tips:

• Understand relational vs non-relational data concepts.
• Explore Azure data services such as Azure SQL, Cosmos DB, Synapse Analytics.
• Use labs to load data, query, and perform simple analytics.

Associate Level Certifications

These are role-based and require more technical depth and experience. They typically demand hands-on skills and knowledge of Azure in practical scenarios.

4) AZ-104: Microsoft Azure Administrator Associate

• Certification Name: Microsoft Certified: Azure Administrator Associate
• Exam Code: AZ-104 
• Prerequisites: None explicitly; but AZ-900 is recommended as a foundation. At least six months of Azure experience is advised. 
• Exam Cost: USD 165 (varies geographically) 
• Schedule Exam: Click Here

Role / Purpose:
An Azure Administrator is responsible for managing identities, storage, compute, virtual networks, and monitoring resources. You’ll use tools like Azure Portal, PowerShell, CLI, and ARM templates. 

Preparation Tips:

• Perform hands-on labs: create VMs, configure storage, set up VNets.
• Practice role-based access control (RBAC) and identity management.
• Use mock exams and timed quizzes to prepare.

5) AZ-204: Microsoft Azure Developer Associate

• Certification Name: Microsoft Certified: Azure Developer Associate
• Exam Code: AZ-204 
• Prerequisites: No strict prerequisite; recommended to have AZ-900 background. You should have 1–2 years of professional development experience and programming skills in at least one Azure-supported language. 
• Exam Cost: USD 165 
• Schedule Exam: Click Here
• Languages: Same multilingual support as AZ-104

Role / Purpose:
As a Developer Associate, you’re building and maintaining cloud applications, handling APIs, connecting services, and integrating with storage and identity systems.

Preparation Tips:

• Build sample applications using Azure Functions, Web Apps, and Logic Apps.
• Use SDKs, REST APIs, and Azure services connection (e.g. Service Bus, Cosmos DB).
• Practice debugging, monitoring, and security integration.

6) DP-100: Microsoft Azure Data Scientist Associate

• Certification Name: Microsoft Certified: Azure Data Scientist Associate
• Exam Code: DP-100 
• Prerequisites: None mandatory. Recommended: knowledge of DP-900 or AI-900 as a base. Must have data science and ML experience using Azure ML, . 
• Exam Cost: USD 165 
• Schedule Exam: Click Here

Role / Purpose:
This certification is for professionals implementing machine learning workflows on Azure. If you’re following an Ai Ml Course and aspire to become an ML engineer, this is a key credential.

Preparation Tips:

• Work with Azure Machine Learning and  to build, train, evaluate, and deploy models.
• Learn hyperparameter tuning, model explainability, and monitoring.
• Practice with real datasets and ML pipelines.

7) AI-102: Microsoft Certified: Azure AI Engineer Associate

• Certification Name: Microsoft Certified: Azure AI Engineer Associate
• Exam Code: AI-102
  Prerequisites: None mandatory, but knowledge of AI-900 or experience with Cognitive Services is recommended. 
• Exam Cost: USD 165 
• Schedule Exam: Click Here

Role / Purpose:
Focused on AI-focused development, AI engineers design and deploy AI solutions using Azure Cognitive Services, knowledge mining, and ML models. If you aim to enhance your azure ai certification profile, this is the role-based cert to pursue.

Preparation Tips:

• Build solutions with vision, speech, language, and knowledge mining services.
• Create generative AI and agentic models.
• Understand trade-offs in model design, scalability, and costs.

8) DP-203: Microsoft Azure Data Engineer Associate

• Certification Name: Data Engineering on Microsoft Azure
• Exam Code: DP-203 
• Status: This certification has been retired and replaced with DP-700 (Fabric Data Engineer Associate)
• Purpose / Legacy: DP-203 was central to azure data engineer training — covering data ingestion, transformation, orchestration, storage, and analytics.
  

Alternate / Replacement:

• DP-700: The new certification aligned with Microsoft Fabric and modern Azure data engineering practices.
  

9) DP-300: Azure Database Administrator Associate

• Certification Name: Administering Relational Databases on Microsoft Azure
• Exam Code: DP-300 
• Prerequisites: None mandatory; DP-900 optional recommended. 
• Exam Cost: USD 165 
• Schedule Exam: Click Here

Role / Purpose:
This cert suits database administrators who manage Azure SQL, ensure performance, security, and business continuity. An essential credential in a data-focused path.

Preparation Tips:

• Practice T-SQL, indexing, performance tuning, replication, and backups.
• Simulate failover, clustering, and DR strategies.
• Use Azure SQL, Managed Instances, and SQL Server on VM labs.
  

10) PL-300: Microsoft Power BI Data Analyst Associate

• Certification Name: Microsoft Certified: Power BI Data Analyst Associate
• Exam Code: PL-300 
• Prerequisites: None mandatory; DP-900 recommended. 
• Exam Cost: USD 165 
• Schedule Exam: Click Here

Role / Purpose:
APower BI Data Analyst transforms data into insights using data modeling, DAX, visualizations, and report building. If you’re combining data skills with analytics, this is essential.

Preparation Tips:

• Practice ETL, modeling, DAX functions, and dashboard design.
• Use Power BI Desktop & Service, workspaces, row-level security (RLS).
• Solve case studies and business scenario reports.

11) DP-600: Microsoft Fabric Analytics Engineer Associate

• Certification Name: Microsoft Certified: Fabric Analytics Engineer Associate
• Exam Code: DP-600 
• Prerequisites: None mandatory; familiarity with SQL, KQL, DAX recommended. 
• Exam Cost: USD 165 
• Schedule Exam: Schedule Exam

Role / Purpose:
This is a newer cert aligned with Microsoft Fabric, intended for analytics engineers working on large-scale analytics solutions within modern data platforms.

Preparation Tips:

• Work on data ingestion, transformation, datasets, and semantic models.
• Use Fabric tools, KQL, SQL, and integration for analytics.
• Practice performance tuning and solution maintenance.
  

12) DP-700: Microsoft Fabric Data Engineer Associate

• Certification Name: Microsoft Certified: Fabric Data Engineer Associate
• Exam Code: DP-700 
• Prerequisites: None mandatory; knowledge of data transformation languages (SQL, PySpark, KQL) recommended. 
• Exam Cost: USD 165 
• Schedule Exam: Schedule Exam

Role / Purpose:
DP-700 is the modern replacement for older data engineer certifications, aligned to Microsoft’s Fabric data stack. It’s central for professionals focusing on azure data engineer certification in 2025 and beyond.

Preparation Tips:

• Practice ETL pipelines, data flows, mapping, transformations.
• Work with large datasets, monitoring, performance tuning.
• Leverage Fabric services and integrate with analytics tools.

13) AZ-500: Microsoft Azure Security Engineer Associate

• Certification Name: Microsoft Certified: Azure Security Engineer Associate
• Exam Code: AZ-500 
• Prerequisites: None mandatory; taking AZ-900 is beneficial. 
• Exam Cost: USD 165 
• Schedule Exam: Click Here

Role / Purpose:
Ideal for security professionals, this cert validates your skills in securing cloud infrastructure, data, identity, and threat protection within Azure.

Preparation Tips:

• Explore Azure security services: Defender for Cloud, Sentinel, Entra ID, conditional access.
• Practice threat protection, RBAC, encryption, secure networks.
• Set up labs simulating identity attacks and security configurations.

Expert Level Certifications

These certifications target experienced professionals designing and leading cloud solutions or DevOps practices.

14) AZ-305: Microsoft Certified: Azure Solutions Architect Expert

• Certification Name: Microsoft Certified: Azure Solutions Architect Expert
• Exam Code: AZ-305 
• Prerequisites: Must have passed AZ-104 (Administrator) or AZ-204 (Developer) as foundational knowledge. 
• Exam Cost: USD 165 
• Schedule Exam: Click Here

 Role / Purpose:
Solutions Architects translate business requirements into secure, scalable, resilient Azure solutions. They design across compute, network, storage, governance, and data.

Preparation Tips:

• Study reference architectures, best practices, and design patterns.
• Work on case studies, scenario-based planning, and trade-off analysis.
• Understand cost optimization, governance, and hybrid solutions.

15) AZ-400: Microsoft DevOps Engineer Expert

• Certification Name: Microsoft Certified: DevOps Engineer Expert
• Exam Code: AZ-400 
• Prerequisites: Must have cleared AZ-104 or AZ-204. 
• Exam Cost: USD 165 
• Schedule Exam: Click Here

Role / Purpose:
DevOps Engineers build automated CI/CD pipelines, integrate security (DevSecOps), ensure reliability, and manage governance in cloud-native environments.

Preparation Tips:

• Use Azure DevOps, GitHub Actions, pipelines, IaC (Infrastructure as Code).
• Practice automating deployments, testing, monitoring, and compliance.
• Work on real-life scenarios involving microservices and container orchestration.

Security / Specialty Certifications

These certifications focus on security, identity, and compliance within Azure and Microsoft environments.

16) SC-900: Microsoft Security, Compliance, and Identity Fundamentals

• Certification Name: Microsoft Certified: Security, Compliance, and Identity Fundamentals
• Exam Code: SC-900
• Prerequisites: None
• Exam Cost: USD 99
• Schedule Exam: Click Here

Role / Purpose:
SC-900 is foundational for understanding security, identity, and compliance concepts across Microsoft 365 and Azure. Non-technical professionals and newcomers can benefit.

Preparation Tips:

• Study Entra ID, Microsoft Purview, compliance center.
• Use Microsoft Learn’s security modules and scenario-based labs.

17) SC-200: Microsoft Certified: Security Operations Analyst Associate

• Certification Name: Microsoft Certified: Security Operations Analyst Associate
• Exam Code: SC-200 
• Prerequisites: Knowledge of Azure fundamentals and security components recommended. 
• Exam Cost: USD 165 
• Schedule Exam: Click Here

Role / Purpose:
Ideal for security analysts focusing on threat detection, response, monitoring, and remediation using Microsoft Sentinel, Defender, and related tools.

Preparation Tips:

• Gain hands-on experience with Sentinel, KQL queries, and incident simulations.
• Use threat-hunting labs and scenario-based training modules.

18) SC-300: Microsoft Certified: Identity and Access Administrator Associate

• Certification Name: Microsoft Certified: Identity and Access Administrator Associate
• Exam Code: SC-300 
• Prerequisites: None mandatory; knowledge of Entra ID / identity management is beneficial. 
• Exam Cost: USD 165 
• Schedule Exam: Click Here

Role / Purpose:
This cert helps professionals manage identity lifecycles, secure authentication, authorization, and governance in enterprise environments.

Preparation Tips:

• Practice creating conditional access policies, entitlement management, workload identities.
• Use Microsoft Entra ID in labs and governance features.

19) SC-400: Microsoft Certified: Information Protection Administrator Associate

• Certification Name: Microsoft Certified: Information Protection Administrator Associate
• Exam Code: SC-400
• Status: This certification has been retired by Microsoft. 
• Legacy Domains: Data protection, DLP, retention, compliance, insider risk, and monitoring.

20) SC-100: Microsoft Certified: Cybersecurity Architect Expert

• Certification Name: Microsoft Certified: Cybersecurity Architect Expert
• Exam Code: SC-100 
• Prerequisites: Must have at least one of SC-200 or SC-300 as foundational knowledge. 
• Exam Cost: USD 165 
• Schedule Exam: Click Here

Role / Purpose:
Intended for senior security architects who define strategy, governance, and architecture across identity, networking, data, and application security.

Preparation Tips:

• Master Zero Trust architecture, multi-cloud security, reference architectures.
• Combine hands-on experience with Microsoft reference materials and whitepapers.

Study Tips & Best Practices

• Start with fundamentals even if optional — gives a solid foundation.
• Hands-on experience matters — create Azure resources, projects, labs.
• Microsoft Learn + official docs are reliable and free.
• Practice exams & quizzes to get exam feel and test knowledge gaps.
• Follow role-based paths — choose the certifications matching your desired job role.
• Stay updated — Azure evolves, so keep checking Microsoft announcements for updates.

Career Paths: Azure AI Engineer vs. Azure Data Engineer

Many people wonder about the difference between these two key roles. This section explains the distinction between the Azure AI Engineer and Azure Data Engineer certification paths, helping you match your training to your career goals.

Core Responsibilities: Building vs. Managing Data Pipelines

• Azure Data Engineer: The primary job of a data engineer is to design, build, and maintain the systems that collect, store, and process data. They create “data pipelines” to move data from various sources into a central repository. Their main goal is to make sure data is clean, organized, and ready for use.
• Azure AI Engineer: The AI engineer takes the high-quality data prepared by the data engineer and uses it to build intelligent applications. They work with AI services to create solutions that can see, hear, speak, and understand. Their focus is on the application layer.

Key Skills and Technologies for Each Role

While there is some overlap, the core skills are different:

• Azure Data Engineer: Works with services like Azure Data Factory, Azure Synapse Analytics, and Azure . They need strong skills in SQL, Python, and data modeling.
• Azure AI Engineer: Works with services like Azure OpenAI ServiceAzure AI Vision, and Azure Machine Learning. They need strong programming skills in Python or C# and a good understanding of APIs.

How the Certifications Complement Each Other

These roles are two sides of the same coin. An AI model is only as good as the data it’s trained on. A data engineer provides the clean, reliable data that an AI engineer needs to build effective solutions.

In many organizations, these teams work very closely. Having knowledge of both domains makes you an extremely effective and sought-after professional. Many great AI engineers started their careers in data.

Which Path Should You Choose? Azure Data Engineer Course or AI Certification Course?

The right path depends on what you enjoy most.

• Choose the AI Engineer path if: You love building applications, working with APIs, and seeing AI come to life in a product. An ai certification course is your best bet.
• Choose the Data Engineer path if: You enjoy working with large datasets, solving complex data puzzles, and building the solid foundation that everything else relies on. An azure data engineer course is the right choice.

You can’t go wrong with either. Both career paths are in high demand and offer great opportunities.

Benefits of Azure Certifications in 2025

• Recognition: Globally acknowledged credentials.
• Practical Experience: Hands-on labs and projects.
  Career Opportunities: Roles like Azure Data Engineer, AI Engineer, and Cloud Architect.
• Salary Advantage: Higher earning potential compared to non-certified peers.
• AI/ML Integration: Future-proof certifications aligned with the AI revolution.

Which Path Should You Choose? Azure Data Engineer Course or AI Certification Course?

The right path depends on what you enjoy most.

• Choose the AI Engineer path if: You love building applications, working with APIs, and seeing AI come to life in a product. An ai certification course is your best bet.
• Choose the Data Engineer path if: You enjoy working with large datasets, solving complex data puzzles, and building the solid foundation that everything else relies on. An azure data engineer course is the right choice.

Both career paths are in high demand and offer great opportunities.

Conclusion

The Azure Certification Path in 2025 provides structured learning for professionals at all levels. Whether you are beginning with an AI certification course, pursuing an Azure Data Engineer course, or aiming for an expert-level role, Microsoft certifications ensure your skills remain relevant and competitive.

At Prepzee, we help learners master Azure certifications with guided training, hands-on labs, and expert mentoring. Investing in these certifications today will prepare you for tomorrow’s AI-powered, cloud-driven world.

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