Microsoft AI Certification Training in Chennai

Build AI skills you can use. Choose a certification that fits your experience.

Take your next step in AI with Aabiance Technology, Chennai. Explore seven Microsoft certification training paths covering Azure AI applications, Copilot administration, cloud development, machine learning operations, and enterprise AI architecture.

Learn how the technologies work together, understand where they fit in a business, and prepare for the certification aligned with your role. The learning approach combines live instruction, practical exercises, and revision, with an additional focus on Agentic AI & Advanced Prompt Engineering.

Starting with AI? Begin with the fundamentals. Already developing applications or managing Microsoft environments? Explore a specialised track that builds on your experience.

7 Specialized Tracks: AI-901, AB-900, AI-103, AI-200, AI-300, AB-650 & AB-100
Live instructor-led training — Chennai classroom or interactive online across India
Deep focus on Agentic AI, Multi-Agent Workflows & Advanced Prompt Engineering
32–36 Live Hours + 20+ Practice Lab Hours with dedicated Azure Cloud Credits
Official Microsoft exam voucher included with 100% Passing Assurance support
Total Tracks 7 Certifications
Format 32–36h Live + 20h Lab
Specialisation Agentic AI & MLOps
Delivery Chennai & Live Online
Exam Voucher Included + Retake Aid
Looking for Team Training? Request Corporate Proposal or call +91 89255 99449

Find the Right Microsoft AI Course for You

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Compare Microsoft AI Certification Courses for Your Career Goal

Choosing a Microsoft AI certification starts with the work you want to do. Building an AI application, administering Copilot, and designing enterprise agent architecture require different skills. Use this comparison to shortlist a course, then review its eligibility criteria and curriculum.

Your Goal Course to Explore Main Learning Focus Action
Begin Azure AI development AI-901 AI concepts and introductory Foundry applications View Track
Support Copilot and agents AB-900 Microsoft 365 administration fundamentals View Track
Build AI applications and agents AI-103 Generative AI, RAG and agent development View Track
Develop cloud components for AI AI-200 Containers, data services, APIs and monitoring View Track
Operate production AI systems AI-300 MLOps, GenAIOps, evaluation and deployment View Track
Administer Microsoft 365 and AI services AB-650 Tenant management, identity, security and governance View Track
Design enterprise agentic solutions AB-100 Architecture, integration and business value View Track
Talk to a Course Advisor

Explore Seven Microsoft AI Certification Tracks

Comprehensive syllabus, eligibility criteria, career positioning, and salary benchmarks for every path.

Fundamentals Track

AI-901 Azure AI Fundamentals Training in Chennai

Replaces retired AI-900 with a modern, practical foundation on Microsoft Azure & Foundry.

₹3.1–₹8.5 LPA Benchmark

AI-901 Azure AI Fundamentals introduces the concepts and practical foundations needed to begin developing AI solutions on Microsoft Azure. The course covers generative AI, responsible AI, model selection, prompt creation, and introductory applications using Microsoft Foundry. Learners explore text analysis, speech processing, image understanding, and information extraction through simple implementation exercises.

Suitable for students, early-career developers, and IT professionals, this Azure AI certification training builds on basic Python knowledge and familiarity with cloud resources. Aabiance Technology’s AI-901 training in Chennai provides a structured starting point for learners preparing to progress towards specialised AI application development and agent-based solutions on Azure.

Who is this for?
  • Students beginning a technical career in AI
  • Early-career developers exploring Azure
  • IT professionals learning AI application concepts
  • Learners with basic Python knowledge
What will I learn?
  • AI concepts & responsible use: Privacy, fairness, safety, and common workloads
  • Models & prompts: Model selection, deployment settings, system instructions
  • Foundry apps & agents: Lightweight chat apps and introductory single-agent solutions
  • Text, speech & visual AI: Speech recognition, synthesis, image understanding
  • Information extraction: Extracting data from documents and unstructured media
Eligibility Criteria
  • Basic Python syntax and programming concepts
  • Familiarity with Azure resources and navigation
  • Understanding of cloud computing and storage is helpful
  • Readiness to practise simple implementation tasks
Learning Outcomes
  • Explain generative AI, AI agents, and business use cases
  • Identify suitable AI models and Azure capabilities
  • Write structured prompts with clear instructions and outputs
  • Develop chat apps and simple agents in Microsoft Foundry
  • Apply responsible AI considerations (privacy, safety, fairness)
Career Opportunities AI Intern, Junior Software Developer (AI), App Support Associate
Career Positioning Foundational knowledge; combines with Python & project portfolio
Indicative Salary (India) ₹3.1–₹8.5 LPA (Junior software engineer related benchmark)
Ready to launch your AI career in Azure? Get AI-901 Syllabus & Batch Details
Administration Track

AB-900 Microsoft Copilot and Agent Administration Training

Master workplace AI governance, Microsoft 365 services, and Copilot management.

₹1.0–₹5.2 LPA Benchmark

AB-900 Copilot and Agent Administration Fundamentals introduces the Microsoft 365 services, security principles, and governance practices that support workplace AI. The course covers users, groups, licences, identity, permissions, information protection and basic administration of Copilot and agents.

Learners understand how organisational data access affects AI responses and why governance matters during adoption. Suitable for junior IT administrators and Microsoft 365 support professionals, this course emphasises administration knowledge rather than application coding. Aabiance Technology’s AB-900 training helps learners build a foundation in Microsoft Copilot administration and prepare for further learning in enterprise productivity, responsible information access, and AI service management practices.

Who is this for?
  • Junior IT administrators
  • Microsoft 365 support professionals
  • Technical staff exploring Copilot administration
  • Professionals beginning workplace AI governance
What will I learn?
  • Microsoft 365 services: Users, groups, licences, Teams, SharePoint, mailboxes
  • Identity & access: Authentication, Microsoft Entra ID, access policies
  • Information protection: Retention, sensitivity labels, Data Loss Prevention (DLP)
  • Copilot access & risks: Microsoft Graph, permissions, oversharing prevention
  • Agent administration: Access controls, approvals, lifecycle responsibilities
Eligibility Criteria
  • Familiarity with Microsoft 365 applications
  • Basic awareness of IT support and administration
  • Develop understanding of identity, security & governance
  • (Programming is not the central focus of this track)
Learning Outcomes
  • Explain how Microsoft 365 services support Copilot & agents
  • Understand users, groups, licences and admin responsibilities
  • Identify how permissions affect access to organisational data
  • Explain information protection, retention, and governance
  • Recognize readiness and oversharing issues prior to AI rollout
Career Opportunities M365 Support Associate, IT Service Desk Analyst, Junior M365 Administrator
Career Positioning Introductory admin credential supporting an IT support/sysadmin pathway
Indicative Salary (India) ₹1.0–₹5.2 LPA (IT support market benchmark)
Prepare your organisation for safe Copilot adoption. Get AB-900 Course Details
Developer Associate

AI-103 Azure AI Apps and Agents Developer Training in Chennai

Replaces AI-102. Master Generative AI, RAG architectures, and multi-agent systems with Python.

₹6.7–₹21.9 LPA Benchmark

AI-103 Azure AI Apps and Agents Developer Associate focuses on developing AI applications using Python, Azure services, and Microsoft Foundry. The course covers generative AI, retrieval-augmented generation (RAG), agent development, tool integration, and coordinated multi-agent workflows. Learners explore how applications retrieve business information, process content, and interact with APIs while applying security and responsible AI controls. Additional topics include vision, language, speech, response evaluation, and monitoring.

Designed for developers with relevant programming experience, Aabiance Technology’s AI-103 training in Chennai connects certification preparation with practical AI development concepts, helping learners understand how to build, assess, and maintain applications for varied business requirements.

Who is this for?
  • Python developers adding AI capabilities to applications
  • Software engineers building Azure AI solutions
  • Developers creating intelligent multi-agent systems
  • Engineers connecting AI to enterprise organisational data
What will I learn?
  • Solution planning: Models, services, deployment, access controls
  • Generative applications: Foundry models, SDKs, advanced prompts
  • RAG & grounding: Connect responses to retrieved business data
  • Agent development: Tools, APIs, memory, and knowledge sources
  • Multi-agent workflows: Coordinated agent tasks with safeguards
  • Evaluation & monitoring: Safety, grounding, response quality
Eligibility & Duration
  • Experience developing applications in Python
  • Familiarity with Azure services, APIs and SDKs
  • Understanding of AI & generative AI concepts
  • Duration: 32–36 live hours + 20+ lab hours across 1–2 months
Learning Outcomes
  • Build generative AI apps using Python & Microsoft Foundry
  • Ground applications with enterprise data via RAG
  • Construct autonomous agents equipped with APIs and tools
  • Coordinate multi-agent workflows with human-in-the-loop approvals
  • Integrate vision, speech, document intelligence, and safety
Career Opportunities Azure AI Developer, Generative AI Developer, AI Agent Developer, AI Engineer
Career Positioning Elevates developers into high-demand GenAI & Agentic engineering roles
Indicative Salary (India) ₹6.7–₹21.9 LPA (Machine learning engineer market benchmark)
Step into next-generation Agentic AI development. Get AI-103 Fees & Batch Details
Developer Associate

AI-200 Azure AI Cloud Developer Certification Training

Build reliable cloud backends, serverless APIs, containerized services, and vector stores for AI.

₹5.6–₹19.8 LPA Benchmark

AI-200 Azure AI Cloud Developer Associate focuses on the cloud services and back-end components that support AI applications. The course explores container deployment, serverless APIs, messaging, data storage, vector search, and application monitoring on Azure. Learners examine how services such as Azure Functions, Cosmos DB, PostgreSQL, and Azure Managed Redis support connected solutions. Security, configuration management, and troubleshooting are also covered. Suitable for Python developers with Azure experience.

Aabiance Technology’s AI-200 certification training helps learners strengthen their understanding of application infrastructure and prepare to develop, deploy, and support cloud components used within AI-enabled software systems across different business use cases.

Who is this for?
  • Back-end developers building AI services
  • Azure application developers
  • Engineers working with containers and cloud data
  • Developers responsible for application reliability & scaling
What will I learn?
  • Container deployment: Container images and Azure hosting options
  • Serverless APIs: Azure Functions triggers, bindings, and scale
  • Message-based apps: Service Bus, Event Grid component connection
  • AI data services: Cosmos DB and PostgreSQL for storage and retrieval
  • Vector search & caching: Embeddings, pgvector, Azure Managed Redis
  • Monitoring: Distributed tracing, telemetry, log analytics
Eligibility Criteria
  • Proficiency in Python programming
  • Experience using Azure SDKs and data services
  • Familiarity with containerised applications
  • Knowledge of messaging, vector databases, and troubleshooting
Learning Outcomes
  • Deploy containerised apps using suitable Azure hosting
  • Build robust serverless APIs with Azure Functions
  • Connect decoupled components through messaging and events
  • Implement vector search and caching patterns
  • Secure secrets, configure Key Vault, and troubleshoot logs
Career Opportunities Azure Cloud Developer, Cloud Application Engineer, Backend AI Developer
Career Positioning Crucial for developers powering the infrastructure behind scalable AI solutions
Indicative Salary (India) ₹5.6–₹19.8 LPA (Cloud engineer market benchmark)
Build the resilient cloud infrastructure AI apps depend on. Get AI-200 Syllabus & Fees
MLOps Engineer Associate

AI-300 MLOps and Generative AI Operations Training

Learn how to deploy, monitor, and continuously improve production AI systems.

₹6.7–₹21.9 LPA Benchmark

AI-300 Machine Learning Operations Engineer Associate focuses on deploying, monitoring, and improving machine learning and generative AI systems on Azure. The course covers MLOps infrastructure, model lifecycle management, deployment automation, performance monitoring, and generative AI evaluation. Learners explore Azure Machine Learning, Microsoft Foundry, GitHub Actions, and infrastructure-as-code practices to understand reproducible operations. Topics include model versioning, data drift, prompt management, retrieval optimisation, and operating costs.

Designed for professionals with Python, machine learning, and relevant cloud experience, Aabiance Technology’s AI-300 training connects AI development with production responsibilities, supporting preparation for roles involving reliable deployment, evaluation, and ongoing improvement of enterprise AI.

Who is this for?
  • Machine learning engineers
  • Data scientists moving into production operations
  • DevOps professionals with ML knowledge
  • AI platform engineers managing deployed systems
What will I learn?
  • MLOps infrastructure: Workspaces, compute clusters, data assets
  • Automation: Bicep, Azure CLI, and automated GitHub Actions CI/CD
  • Model lifecycle: Experiment tracking, model registry, endpoint deployment
  • Production monitoring: Data drift detection, retraining triggers, alerts
  • GenAIOps: Foundry environments, prompt versioning, retrieval tuning
  • Quality evaluation: Groundedness, relevance, safety, latency, cost
Eligibility & Duration
  • Python programming & foundational ML knowledge
  • Familiarity with source control, CI/CD, and CLI tools
  • Relevant data science or ML background
  • Duration: 32–36 live hours + 20+ lab hours over ~1–2 months
Learning Outcomes
  • Configure infrastructure for ML & GenAI operations
  • Automate provisioning and deployment with GitHub Actions
  • Track experiments and manage model endpoints
  • Monitor model performance and catch data drift
  • Benchmark GenAI systems for relevance, safety, latency, and cost
Career Opportunities MLOps Engineer, ML Platform Engineer, AI Platform Engineer, GenAIOps Engineer
Career Positioning Bridges data science models with production enterprise reliability
Indicative Salary (India) ₹6.7–₹21.9 LPA (ML engineer related role reference)
Operate and scale enterprise AI systems reliably. Get AI-300 Training Details
Administrator Associate

AB-650 Microsoft 365 and AI Services Administrator Training

Configure, secure, and govern enterprise productivity environments, Copilot, and agents.

₹3.8–₹10.2 LPA Benchmark

AB-650 Microsoft 365 and AI Services Administrator Associate focuses on configuring, securing, and governing enterprise productivity environments. The course covers Microsoft 365 tenants, workloads, identity, authentication, information protection, and administration of Copilot and agents. Learners examine how Microsoft Entra, Defender, and Purview support access management, threat protection, and data governance. Additional topics include Copilot readiness, agent permissions, service health, and usage monitoring. Suitable for experienced Microsoft 365 administrators.

Aabiance Technology’s AB-650 training develops understanding of the operational responsibilities involved in workplace AI adoption, helping professionals prepare to manage collaboration services and connected AI capabilities with appropriate security and governance controls.

Who is this for?
  • Microsoft 365 administrators
  • Enterprise IT infrastructure administrators
  • Professionals managing identity and governance
  • Administrators supporting Copilot and agents
What will I learn?
  • Tenant management: Domains, licences, service health
  • Workloads: Exchange, Teams, SharePoint, OneDrive admin
  • Identity & access: Entra ID roles, conditional access, MFA
  • Threat protection: Defender XDR policies, alerts, remediation
  • Data governance: Purview protection, retention, and DLP controls
  • Copilot & agents: Readiness, oversharing audit, permissions, approvals
Eligibility Criteria
  • Experience administering Microsoft 365 workloads
  • Working knowledge of Microsoft Entra ID
  • Understanding of Microsoft Defender XDR
  • Familiarity with Microsoft Graph PowerShell
Learning Outcomes
  • Configure and manage Microsoft 365 tenants and workloads
  • Administer users, roles, and authentication via Entra ID
  • Apply information protection and data governance controls
  • Assess Copilot readiness and prevent data oversharing
  • Manage agent access, lifecycle, and service health
Career Opportunities M365 Administrator, Copilot Administrator, Digital Workplace Engineer
Career Positioning Builds directly on M365 admin experience into strategic AI governance
Indicative Salary (India) ₹3.8–₹10.2 LPA (Senior systems administrator benchmark)
Govern and protect enterprise Microsoft 365 Copilot environments. Get AB-650 Course & Batch Details
Solutions Architect Expert

AB-100 Agentic AI Business Solutions Architect Training

Premier credential for designing enterprise agentic solutions across Copilot Studio, Foundry, and business applications.

₹20.3–₹25.0 LPA Benchmark

AB-100 Agentic AI Business Solutions Architect focuses on designing enterprise AI solutions that connect business requirements, intelligent agents, and Microsoft platforms. The course explores solution planning, multi-agent architecture, integration, governance, security, and lifecycle management across Copilot Studio, Microsoft Foundry, and business applications. Learners assess implementation options, information requirements, operational costs, and measures of business value.

Designed for experienced architects and senior consultants, Aabiance Technology’s AB-100 training supports architectural decision-making and certification preparation. It helps learners understand how to plan coordinated agent workflows, define oversight, and evaluate enterprise solutions while accounting for scalability, maintainability, and responsible AI practices throughout their lifecycle.

Who is this for?
  • Solution and enterprise architects
  • Senior technical and functional consultants
  • AI transformation leaders & Enterprise Directors
  • Technical leads designing business solutions
What will I learn?
  • Requirements & readiness: Assess use cases and data sources
  • AI strategy: Compare building, buying, and extending solutions
  • Business value: Evaluate implementation costs and ROI
  • Agent architecture: Design across Copilot Studio, Foundry & D365
  • Integration & connectors: Agent interactions & extensibility
  • Governance & oversight: Responsible AI, safety, audit trails
Eligibility Criteria
  • Experience designing enterprise technology solutions
  • Familiarity with Microsoft business apps & cloud architecture
  • Knowledge of Dynamics 365, Power Platform, Copilot Studio
  • Qualifying associate cert required (e.g. AI-103, AI-300)
Learning Outcomes
  • Translate business requirements into enterprise AI solution designs
  • Assess whether to build, buy, or extend AI capabilities
  • Design agent interactions across Microsoft applications
  • Plan integration, data access, security and human approvals
  • Quantify costs, operational risks, and measurable business ROI
Career Opportunities Agentic AI Solutions Architect, AI Business Solutions Architect, Enterprise AI Consultant
Career Positioning Advanced architectural leadership; commands premier compensation
Indicative Salary (India) ₹20.3–₹25.0 LPA (Solution architect market benchmark)
Lead enterprise Agentic AI strategy and architecture. Check AB-100 Eligibility & Fees

Azure AI Projects and Practical Learning Scenarios

Create work you can demonstrate and explain. Practical work should show the problem being addressed, the decisions behind the solution, and how the result was evaluated.

Project Business Scenario Suggested Learner Output
Knowledge Assistant Answer complex employee questions grounded in sample policy and compliance documents Application demo and answer-quality checklist
Customer Support Workflow Classify incoming customer requests, summarize issues, and route unresolved tickets to engineers Workflow diagram, prototype, and escalation rules
Document Extraction Turn sample PDF invoices, medical forms, or receipts into structured, validated JSON data Extraction output and error-review notes
Multi-Agent Workflow Divide an enterprise research-and-drafting task across coordinated specialized AI agents Working prototype with tool boundaries and approval steps
AI Operations Review Compare deployed model versions for accuracy, latency, drift, and token consumption Evaluation report and monitoring checklist
Copilot Readiness Assessment Audit tenant access, SharePoint permissions, and oversharing risks before introducing workplace AI Permissions and governance action plan
Enterprise AI Architecture Architect an agent-enabled business process connecting ERP, CRM, and Microsoft Foundry Architecture proposal, data flow, and cost assumptions
Deliverable guidelines: Development learners document code and deployment instructions in a GitHub repository. Administration learners produce security and configuration checklists. Architecture learners justify their design choices through an executive solution proposal.

Microsoft AI Online Training, Weekend Batches and Learning Support

Make room for focused learning alongside your current professional work.

The proposed delivery model combines live classes with guided practice between sessions: Learn a concept, see it demonstrated live, attempt hands-on exercises, and return with questions.

For extended technical packages (AI-103, AI-200, AI-300), the working plan is 32–36 live hours, delivered through 8–12 sessions (generally 3–4 hours per class), with 20+ additional practice hours across approximately 1–2 months.

Live Instructor-Led Sessions

Live interactive classes with real-time screen shares, live debugging, and expert code reviews.

Hands-On Lab Practice

Dedicated Azure cloud credit allowance and structured exercise workbooks for realistic labs.

Lifetime Session Recordings

Access high-definition recordings of every class for unlimited revision whenever you need it.

Mock Exams & Gap Analysis

Official-style practice assessments with detailed review of learning gaps and trick questions.

Agentic AI Bonus Modules

Dedicated bonus modules covering Agentic AI, Autonomous Workflows, and Advanced Prompt Engineering.

Python & Cloud Refresher

Complimentary 4-hour Python and Azure cloud refresher before technical development tracks kick off.

Get the Weekend Training Schedule

Why Choose Aabiance Technology for Microsoft AI Training in Chennai?

01

Guidance around your current experience

Start with your role, technical background, and learning goal. Compare foundation, development, operations, and architecture paths before choosing a certification.

02

Learning tied to practical tasks

Connect topics with exercises such as document retrieval, service integration, application evaluation, or Copilot governance. Understand what you are trying to achieve and how you will assess the result.

03

Clear distinction between course & exam

Review the training schedule, package inclusions, and official certification requirements separately. Understand which skills the course develops and what preparation you may need outside class.

04

Relevant Agentic AI learning

Explore how prompting, business information, tool access, and human review work together. Choose the technical depth appropriate to your course.

05

A plan you can review before enrolling

Request the syllabus, instructor details, training calendar, and fee breakdown in one place. Use these to decide whether the programme fits your goals and availability.

06

100% Passing Assurance Policy

Eligible learners who complete their training and mock tests receive retake cost assistance and 1-on-1 coaching if needed.

Speak to Aabiance Technology
Enterprise Upskilling

Corporate Microsoft AI and Copilot Training for Teams

Build a training plan around what your team needs to deliver. A development team building AI applications needs a different learning plan from administrators introducing Copilot or architects designing enterprise workflows.

  • Role-based certification tracks
  • Review of existing skills & gaps
  • Custom enterprise use case labs
  • Flexible scheduling around sprints
Request a Corporate Proposal

Microsoft AI Certification Training FAQs

Frequently asked questions about certifications, vouchers, policies, and exams.

The AI series focuses on developing and operating AI solutions on Azure. AI-901 introduces AI fundamentals, AI-103 covers applications and agents, AI-200 focuses on cloud development, and AI-300 covers machine learning and generative AI operations.

The AB courses listed here focus on Microsoft 365 Copilot administration, AI governance, and business solution architecture. Coding is less central to these tracks, but advanced courses such as AB-650 and AB-100 still require technical knowledge and relevant experience.
Aabiance’s 100% Passing Assurance provides additional support if an eligible learner does not pass the official Microsoft exam. Under the proposed policy, this includes retake-cost coverage and one-to-one remedial coaching to address learning gaps before the next attempt.

Eligibility depends on completing the required training and mock assessments and meeting the written policy conditions. The assurance covers defined support benefits; it does not guarantee Microsoft’s exam result.
Yes. Under the proposed voucher-inclusive training package, the course fee includes an official Microsoft exam voucher for the selected certification.

Your enrolment details should identify the exam code, attempts covered, voucher validity, and redemption conditions. Any prerequisite certification exams or additional attempts outside the passing-assurance policy must be listed separately, so you can understand the full package before enrolling.
Yes. Microsoft retired AI-900 on 30 June 2026 and replaced it with AI-901 for Azure AI Fundamentals.

AI-901 covers responsible AI, model capabilities, prompts, and introductory AI implementation using Microsoft Foundry. It includes simple applications and agents, text and speech, visual AI, and information extraction. Learners should understand basic Python syntax and Azure resources—it is more than a theory-only introduction.
AB-900 training is most relevant to junior IT administrators, Microsoft 365 support professionals, and people beginning Copilot and agent administration.

Programming is not its central requirement. However, learners should become familiar with Microsoft 365 services, admin centres, identity, permissions, and data governance. Business analysts and managers involved in AI adoption may also find it useful, provided they want to understand administration responsibilities rather than only everyday Copilot usage.
If you are preparing for a new Azure AI developer credential, review the AI-103 Azure AI Apps and Agents Developer Associate path. Microsoft has retired the previous Azure AI Engineer Associate certification associated with AI-102.

Your existing preparation can still provide useful foundations. Compare it with AI-103’s current scope, particularly Microsoft Foundry, generative applications, agent orchestration, retrieval, evaluation, and safeguards. AI-103 also covers vision, text analysis, and information extraction.
AI-200 suits cloud and back-end developers building the services behind AI applications. Its focus includes containers, APIs, data services, messaging, security, and troubleshooting.

AI-300 suits machine learning engineers, data scientists, and suitably experienced DevOps professionals operating AI systems. It covers model lifecycles, deployment automation, monitoring, evaluation, and optimisation.

Choose AI-200 for application infrastructure and AI-300 for machine learning and generative AI operations.
An AB-650 administrator manages and secures Microsoft 365 services alongside Copilot and agents. Responsibilities include tenant configuration, user access, identity, information protection, service health, and AI governance.

The role also involves assessing Copilot readiness, addressing oversharing risks, and controlling agent access. It is suitable for professionals with Microsoft 365 administration experience, knowledge of Entra ID and Defender XDR, and familiarity with Microsoft Graph PowerShell.
AB-100 Agentic AI Business Solutions Architect focuses on designing complete enterprise solutions. Architects must connect business requirements with agent design, platform integration, security, governance, lifecycle management, and measurable value.

It suits experienced solution architects and senior consultants working across Microsoft business applications and AI services. Earning the credential also requires a qualifying associate certification; current options include AI-103 and AI-300, among others.
Under the proposed Aabiance learning package, you receive lifetime streaming access to recorded sessions for revision, along with six months of access to the applicable individual lab environment.

For eligible Azure tracks, the package includes a defined cloud-credit allowance. Credits are limited, and available tools depend on the certification selected. Your enrolment details should specify the allowance, lab-access start date, licence coverage, and any charges after the included resources are exhausted.
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