Microsoft Azure AI Engineer Corporate Training AI-102 Aligned
capability building,
designed for your organisation.
A custom-built corporate programme for software engineers, ML engineers, cloud engineers, solution architects, and senior developers (3+ years) building AI-powered applications on Microsoft Azure with Azure AI Services, Azure OpenAI, and Azure AI Foundry. We design the curriculum around your tech stack, project archetypes, and target business outcomes — delivered by domain-expert trainers and reinforced through AI-evaluated assessments.
A modular syllabus, built to be tailored.
Below is our reference curriculum. Every syllabus we deliver is tailored to your customer-specific requirements module depth, sequencing, lab environments, and capstone projects are adapted to your team's starting point, tech stack, and target outcomes.
- Azure AI Services portfolio: Vision, Language, Speech, Document Intelligence, Translator
- Azure OpenAI Service vs. Azure AI Foundry vs. Azure ML when each
- AI-102 exam structure: domains, weights, question patterns
- Pre-assessment: where each learner is on the 6 AI-102 domains
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Enterprise learning solutions built for corporate teams.
Go beyond standard classroom delivery with enterprise-ready learning infrastructure, managed execution, capability insights, and production-like practice environments designed for corporate scale.
Enterprise Command Center (LMS+)
Managed Batches (End-to-End Execution)
Capability Audits (Pre-Training Intel)
Custom Chaos Sandboxes
Demonstrable skills your team will apply on live projects.
Architect production AI on Azure
Azure OpenAI + AI Foundry + AI Search + Cognitive Services with proper identity, networking, observability, and cost governance.
Build agents on Azure AI Foundry
Multi-agent flows on Foundry with proper evaluation, content safety, and deployment governance.
Implement enterprise RAG on Azure AI Search
Vector + hybrid + semantic ranking with Azure AI Search; multi-tenant security; index lifecycle.
Pass Microsoft AI-102 exam
Cohort first-attempt pass rate 88%.
Ship Azure AI capstone
Production-grade Azure AI application with full observability and cost governance.
Move into Azure AI Engineer role
Equipped for Azure AI Engineer Associate role at IT services firms, Microsoft partners, and enterprise IT teams.
Where your team is now vs where they'll be after the programme.
Where most teams start
- ·Familiar with Azure fundamentals (AZ-900) but no hands-on AI service experience
- ·Limited working knowledge of Azure OpenAI, Azure AI Foundry, Azure AI Search
- ·Cannot architect a production AI application on Azure with proper identity, networking, and observability
- ·No AI-102 exam preparation or familiarity with the question patterns
- ·Unfamiliar with Azure-specific AI patterns: PromptFlow, Content Safety, AI Content Filtering
- ·Limited fluency with AI Foundry agents, model catalog, and deployment patterns
Where they'll arrive
- ✓Azure AI Services mastery Vision, Language, Speech, Document Intelligence, Translator deployed in production patterns
- ✓Azure OpenAI fluency model deployment, fine-tuning, content filtering, monitoring, cost governance
- ✓Azure AI Foundry expertise agents, model catalog, evaluation, prompt flow, deployment management
- ✓Azure AI Search architecture vector search, hybrid retrieval, semantic ranking for enterprise RAG
- ✓Production discipline VNet integration, Private Endpoints, RBAC, monitoring, cost dashboards
- ✓AI-102 certified passes Microsoft Certified: Azure AI Engineer Associate exam
Built for L&D outcomes, not seat counts.
AI-102 corporate training built for engineers
This is not a survey course. Every module is built for software engineers, ML engineers, cloud engineers, and solution architects who need production-grade Azure AI skills and a defensible path to AI-102 certification.
Azure AI Engineer certification training not just exam prep
Azure AI Engineer certification training through this programme combines hands-on Microsoft labs with domain-level exam preparation so learners build real capability alongside the credential.
Production labs on every Azure AI service
Every module closes with a hands-on lab on real Azure infrastructure deploying Azure OpenAI with Private Endpoints, building RAG on Azure AI Search, training custom Vision and Language models, and constructing AI Foundry agent flows.
Azure OpenAI training course with cost and governance depth
This Azure OpenAI training course goes beyond API calls. Learners master PTU vs PAYGO cost models, quota management, VNet integration, managed identity, content filtering, and observability the production disciplines that separate architects from experimenters.
Azure AI Foundry training agents, evaluation, deployment
Azure AI Foundry training covers the full Foundry surface: projects, hubs, model catalog, agent construction, Prompt Flow orchestration, evaluation pipelines, and deployment governance aligned to how Microsoft partners and enterprise teams ship AI in 2026.
Microsoft AI-102 exam prep with 88% first-attempt pass rate
Microsoft AI-102 exam prep is built into every milestone. Domain-by-domain question pattern analysis, practice exams with detailed scoring, weak-domain review labs, and exam-day time management strategy not bolted on at the end.
A four-milestone path from skill gap to client-ready.
Azure AI landscape & AI-102 baseline
Learners map the full Azure AI Services portfolio, understand where Azure OpenAI, AI Foundry, and Azure ML each fit, and complete a pre-assessment across all 6 AI-102 exam domains. This AI-102 corporate training programme begins with a precise gap analysis not a generic orientation.
Azure AI Services hands-on labs across the stack
Learners build production-grade implementations across Azure OpenAI, AI Foundry, AI Search, Vision, Language, Speech, and Document Intelligence. Azure AI Engineer training for teams at this stage prioritises working lab output over lecture each module closes with a deployed, functional Azure AI component.
Production architecture identity, network, observability, cost
Learners apply enterprise-grade production discipline: VNet integration, Private Endpoints, Microsoft Entra ID RBAC, Azure Monitor observability, and PTU vs PAYGO cost governance. This is where Azure AI Engineer certification training separates architects from experimenters every design decision is production-justified.
Capstone, AI-102 exam prep & certification
Learners design, build, and present a production-grade Azure AI application before a panel review. Parallel Microsoft AI-102 exam prep runs through domain-by-domain practice exams, gap analysis, and exam-day strategy closing the programme with both a deployed capstone and certification readiness.
Want this curriculum aligned to your tech stack and project archetypes?
Why enterprise teams choose the B2B engagement model.
Trusted by Industry Leaders for Enterprise AI Upskilling
See why CEOs, CTOs, and business leaders collaborate with NovelVista
to discuss the future of AI, digital transformation, and workforce readiness.
- Exclusive AI leadership summits featuring enterprise decision-makers and technology experts
- Recognized corporate training partner for AI, Agile, DevOps, ITSM, and cybersecurity programs
- Trusted by organizations to build future-ready teams with practical, industry-focused learning
- Real conversations, real business challenges, and actionable AI transformation insights from industry leaders
Learn from domain experts with 15+ years of experience.
"My job isn't to walk engineers through Azure documentation it's to build the production discipline, architectural judgement, and exam-ready depth that makes an Azure AI Engineer effective on day one."
Taught by people who've actually shipped the work.
Built for L&D leaders and their learners.
Who this is for
- ·Software engineers and senior developers (3+ years) who want structured AI-102 corporate training to move into Azure AI Engineer Associate roles
- ·ML engineers and cloud engineers building or planning AI-powered applications on Microsoft Azure who need Azure AI Engineer training for teams aligned to their organisation's tech stack
- ·Solution architects responsible for designing enterprise AI systems on Azure who need Azure AI Engineer certification training that covers production identity, networking, and observability patterns
- ·Microsoft partners and IT services firms upskilling delivery teams on Azure OpenAI, AI Foundry, and Azure AI Search for client-facing AI projects
- ·L&D leaders and engineering managers at Azure-aligned organisations looking for a cohort-based Azure AI Engineer training for teams programme with measurable certification outcomes
Pre-requisites
- ·3+ years of software engineering, cloud engineering, or solution architecture experience this programme is designed for practitioners, not beginners
- ·Working knowledge of Microsoft Azure fundamentals (AZ-900 level or equivalent hands-on experience) before attending
- ·Familiarity with at least one programming language Python or C# preferred as labs involve API integration, SDK usage, and deployment scripting
- ·Enterprise cohorts should confirm Azure subscription access and align data-handling and network security expectations before programme start
Trusted by L&D leaders across the world.
"The lab depth was unlike anything we had seen in a certification programme. Our engineers left with working Azure OpenAI deployments, a RAG pipeline on AI Search, and the confidence to architect production AI systems."
"The AI-102 exam prep was built into the programme from day one, not tacked on at the end. Domain-by-domain gap analysis meant our team knew exactly where to focus. Four out of five passed on the first attempt."
"What stood out was the production operations module. Our team finally understood VNet integration, Private Endpoints, and cost governance on Azure OpenAI the things that actually matter when you ship to enterprise clients."
Questions L&D teams ask before signing.
Microsoft does not publicly publish the official AI-102 exam pass rate. What Microsoft does publish is the passing score: candidates need a scaled score of 700 or higher out of 1,000 to pass Microsoft technical certification exams. Also note that AI-102 and the Azure AI Engineer Associate certification are scheduled to retire on 30 June 2026.