Official Microsoft AI & Copilot Tracks
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.
Share your details to receive course guidance, the syllabus, and available batch information.
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 |
Comprehensive syllabus, eligibility criteria, career positioning, and salary benchmarks for every path.
Replaces retired AI-900 with a modern, practical foundation on Microsoft Azure & Foundry.
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.
Master workplace AI governance, Microsoft 365 services, and Copilot management.
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.
Replaces AI-102. Master Generative AI, RAG architectures, and multi-agent systems with Python.
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.
Build reliable cloud backends, serverless APIs, containerized services, and vector stores for AI.
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.
Learn how to deploy, monitor, and continuously improve production AI systems.
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.
Configure, secure, and govern enterprise productivity environments, Copilot, and agents.
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.
Premier credential for designing enterprise agentic solutions across Copilot Studio, Foundry, and business applications.
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.
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 |
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 interactive classes with real-time screen shares, live debugging, and expert code reviews.
Dedicated Azure cloud credit allowance and structured exercise workbooks for realistic labs.
Access high-definition recordings of every class for unlimited revision whenever you need it.
Official-style practice assessments with detailed review of learning gaps and trick questions.
Dedicated bonus modules covering Agentic AI, Autonomous Workflows, and Advanced Prompt Engineering.
Complimentary 4-hour Python and Azure cloud refresher before technical development tracks kick off.
Start with your role, technical background, and learning goal. Compare foundation, development, operations, and architecture paths before choosing a certification.
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.
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.
Explore how prompting, business information, tool access, and human review work together. Choose the technical depth appropriate to your course.
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.
Eligible learners who complete their training and mock tests receive retake cost assistance and 1-on-1 coaching if needed.
Frequently asked questions about certifications, vouchers, policies, and exams.