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 2026, 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-901), 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-901: Microsoft Azure AI Fundamentals

AI-901 is Microsoft’s current entry-level Azure AI certification. It is designed for learners beginning a career in AI solution development and covers AI concepts, machine learning fundamentals, computer vision, natural language processing, generative AI, and Microsoft Foundry.

• Level: Fundamentals
• Best for: Beginners, students, cloud professionals and learners
• transitioning into AI
• Exam cost: $99 USD in the U.S.; pricing varies by country/region
• Passing score: 700
• Prerequisites: No formal prerequisite, although basic cloud, Python and Azure familiarity is useful.

AI-901 is a logical starting point before moving into developer-focused certifications such as AI-103.

For candidates who want a more detailed breakdown of the exam objectives, preparation strategy, and study plan, our AI-901 Certification Guide 2026 explains what to study and how to prepare for the exam.

Because AI-901 is a fundamentals-level certification, practical exposure can also help learners understand Azure AI concepts more clearly. Beginners can use our AI-901 Hands-On Labs to practice core services and build familiarity before attempting the exam.

AI-901 is a logical starting point for learners who are new to Azure AI and can provide a useful foundation before progressing to more developer-focused certifications such as AI-103.

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-901 
• 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) AI-200: Azure AI Cloud Developer Associate

AI-200 is designed for developers who build, integrate, secure, deploy, and monitor AI-enabled cloud applications on Microsoft Azure. It focuses on the back-end services and cloud architecture needed to support production AI solutions rather than general Azure application development alone.

• Level: Intermediate
• Best for: Cloud developers, backend developers, Azure developers, and professionals building production AI applications
• Exam duration: 120 minutes
• Exam cost: $165 USD in the U.S.; pricing varies by country or region
• Passing score: 700
• Recommended background: Experience with Azure development, APIs, data services, cloud security, monitoring, containers, and application integration.

What does AI-200 cover?

The certification focuses on areas such as:

• Designing and implementing AI cloud solutions
• Building and deploying containerized applications
• Working with Azure data and storage services
• Integrating Azure services and APIs
• Implementing authentication and security
• Using messaging and event-driven services
• Monitoring and troubleshooting cloud applications
• Supporting the complete application development lifecycle

Candidates should be comfortable working with Azure SDKs, data services, monitoring tools, messaging services, identity and security components, and cloud deployment technologies. 

AI-200 is a strong fit for developers who want to move beyond traditional cloud development and build scalable AI-enabled applications and back-end services on Azure.

6) AI-300: Machine Learning Operations Engineer Associate

AI-300 is designed for professionals who build, deploy, monitor, and optimize machine learning and generative AI solutions on Azure. It focuses on both MLOps for traditional machine learning models and GenAIOps for generative AI applications and agents. Microsoft positions it at an intermediate level for AI engineers and data science professionals working with Azure Machine Learning and Microsoft Foundry.

• Level: Intermediate
• Best for: MLOps engineers, AI engineers, data scientists, and professionals responsible for deploying and maintaining production AI systems
• Exam duration: 120 minutes
• Exam cost: $165 USD in the U.S.; pricing varies by country or region
• Passing score: 700
• Recommended background: Python, Azure Machine Learning, basic DevOps concepts, GitHub Actions, command-line tools, and infrastructure-as-code practices.

What does AI-300 cover?

The AI-300 exam focuses on five main skill areas:

• Design and implement MLOps infrastructure
• Manage the machine learning model lifecycle
• Design and implement GenAIOps infrastructure
• Monitor generative AI quality and observability
• Optimize generative AI systems and model performance

Candidates should be familiar with tools and concepts such as Azure Machine Learning, Microsoft Foundry, GitHub Actions, MLflow, Bicep, Azure CLI, model deployment, monitoring, retraining, RAG optimization, and generative AI evaluation.

7) AI-103: Azure AI Apps and Agents Developer Associate

AI-103 is designed for developers building AI-powered applications and agents on Azure. It focuses on planning Azure AI solutions, generative AI and agentic applications, computer vision, text analysis, and information extraction.

• Level: Associate
• Best for: Azure AI developers, AI engineers, Generative AI developers and professionals building agentic applications
• Exam cost: $165 USD in the U.S.; pricing varies by location
• Recommended foundation: Azure fundamentals, Python and basic AI concepts

Beginners can start with AI-901 before progressing to AI-103, while developers with relevant Azure and Python experience may prepare directly for AI-103.

If you are planning to take the exam, our AI-103 Certification Guide 2026 provides a deeper look at the exam, key topics, preparation requirements, and skills candidates should focus on.

For learners who are unsure where to begin or what to study first, the AI-103 Learning Path provides a more structured progression from foundational Azure AI concepts to the skills needed for AI application and agent development.

Candidates who previously planned to take AI-102 should also be aware that Microsoft’s Azure AI certification path has changed. Our AI-102 vs AI-103 comparison explains the transition, how the two exams differ, and what the change means for learners moving toward the current Azure AI developer certification path.

For someone new to Azure AI, AI-901 can provide the fundamentals first, while AI-103 is better suited to learners ready to build and implement AI applications and agents.

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 2026 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.

Azure AI Certification Path in 2026

Use a simple roadmap:

Beginner / New to AI
AI-901 → AI-103

AI Application Developer
AI-901 → AI-103 → advanced AI projects

Cloud AI Developer
AI-901 → AI-200

Machine Learning / MLOps Professional
AI-901 → AI-300

Experienced AI Solution Architect
AI-103 or AI-300 → AB-100

Which Azure AI Certification Should You Choose?

Your Goal	Recommended Certification
Learn AI fundamentals	AI-901
Become an Azure AI app/agent developer	AI-103
Build cloud-native AI backends	AI-200
Work in ML deployment/MLOps	AI-300
Architect enterprise agentic AI solutions	AB-100, after qualifying Associate certification

How Much Do Azure AI Certifications Cost?

Certification	U.S. Price*
AI-901	$99
AI-103	$165
AI-200	$165

Important Microsoft Azure AI Certification Changes in 2026

Retired Certification	Status	Current Direction
AI-900	Retired June 30, 2026	AI-901
AI-102	Retired June 30, 2026	AI-103
DP-100	Retired June 1, 2026	AI-300
AZ-204	Retired July 31, 2026	AI-200
AZ-500	Retired August 31, 2026	SC-500

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.

Benefits of Azure Certifications in 2026

• 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.

Conclusion

The Azure Certification Path in 2026 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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