“We needed a partner who understood both the technical depth of Azure OpenAI and the governance requirements of an enterprise.”
Enterprise Program Brief
Azure AI Engineer Associate (AI-102T00)
Warning This certification has been retired. The current exam is AI-103. AI-102 focuses on developing AI solutions in Azure, including generative AI applications, intelligent agents, natural language, computer vision, and information extraction workloads.
Role-Based Certification PrepTrack: Azure AI Engineer AssociateMicrosoftIntermediate
Download Program Brief (PDF)Microsoft Credential Retired
This Microsoft certification can no longer be earned. The current exam is AI-103.
Program Snapshot
Engagement scoped to cohort
Duration2 to 4 days
FormatVirtual, On-site, or Hybrid
LevelIntermediate
Course CodeAI-102T00
Certification TrackAzure AI Engineer Associate
SubjectAI Solutions Engineering
- MCT-led delivery
- Private cohort / virtual ILT
- Typical response: 1 business day
Scoping call typically scheduled within one business day
VNode ITeS delivers Azure AI Engineer Associate (AI-102T00) as an MCT-led Microsoft program for AI Engineer. Typical duration is 2 to 4 days (Virtual, On-site, or Hybrid). Labs follow production-shaped scenarios rather than slide-only walkthroughs. Certification prep maps to AI-102T00 without turning the week into a dump of Learn modules. Private cohorts can shift emphasis by role mix, workspace or repo constraints, and rollout timing.
Audience Profile
Built for these roles
Built for AI engineers and developers building production AI solutions on the Azure AI platform.
- AI Engineer
- AI Solutions Engineering
- Certification Readiness
- Tailored Team Delivery
Overview
Executive overview
Warning This certification has been retired. The current exam is AI-103. Official Microsoft Learn course aligned to Azure AI engineering responsibilities, covering generative AI apps, agents, computer vision, language, and information extraction scenarios.
Prerequisites
- Hands-on experience in the relevant Microsoft workload area.
- Familiarity with core product concepts and enterprise delivery expectations.
Program Outcomes
Capabilities your teams will gain
- Strengthen readiness for AI-102 certification objectives
- Build deeper delivery capability in ai solutions engineering scenarios
- Prepare teams for more confident project execution in the target Microsoft workload
- Support structured certification-led upskilling across the organization
Enterprise Delivery
Private cohort delivery
VNode-designed, vendor-aligned instructor-led program. Scope role mix, delivery format, and rollout goals for your cohort.
Curriculum
Curriculum roadmap
- Azure AI solution planning, management, and security
- Computer vision and document intelligence solutions
- Natural language processing and speech AI solutions
- Knowledge mining, Azure AI Search, and document intelligence
- Generative AI solutions with Azure OpenAI and responsible AI
1Module 1
Azure AI Solution Planning and Management
+
Module 1
Azure AI Solution Planning and Management
Provision and manage Azure AI Services resources, configure authentication and security, implement responsible AI practices, and monitor AI solution health and performance.
- manage Azure AI Services resources
- configure authentication
- implement responsible AI practices
- and monitor AI solution health
2Module 2
Computer Vision and Document Intelligence
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Module 2
Computer Vision and Document Intelligence
Build computer vision solutions using Azure AI Vision for image classification, object detection, OCR, and spatial analysis. Process documents with Azure Document Intelligence and custom models.
- Build computer vision solutions using Azure AI Vision for image classification, object detection, OCR, and spatial analysis
- Process documents with Azure Document Intelligence and custom models
3Module 3
Natural Language Processing and Speech
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Module 3
Natural Language Processing and Speech
Implement NLP solutions using Azure AI Language for text analytics, entity recognition, question answering, and conversational AI. Build speech-to-text and text-to-speech pipelines.
- Implement NLP solutions using Azure AI Language for text analytics, entity recognition, question answering, and conversational AI
- Build speech-to-text and text-to-speech pipelines
4Module 4
Knowledge Mining and Azure AI Search
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Module 4
Knowledge Mining and Azure AI Search
Design knowledge mining solutions using Azure AI Search with indexers, custom skillsets, enrichment pipelines, and semantic search for intelligent enterprise search scenarios.
- Design knowledge mining solutions using Azure AI Search with indexers
- custom skillsets
- enrichment pipelines
- and semantic search for intelligent enterprise search scenarios
5Module 5
Generative AI with Azure OpenAI
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Module 5
Generative AI with Azure OpenAI
Build generative AI solutions using Azure OpenAI service, implement prompt engineering, design RAG architectures, and apply content filtering and responsible AI governance controls.
- Build generative AI solutions using Azure OpenAI service
- implement prompt engineering
- design RAG architectures
- and apply content filtering
- responsible AI governance controls
Delivery Models
Delivery models
Virtual ILTOnsiteHybridExecutive WorkshopBootcampWeekend
Engagement Fit
Engagement fit
- Certification readiness
- Implementation-focused labs
- Private cohort delivery
- Intermediate practitioner depth
Enterprise Customization
Enterprise customization
Tailor this program to your organization's priorities: Helps engineering teams move from AI experimentation to production by building delivery skills in Azure AI application design, development, and deployment.
- Align labs to your AI use case and domain data
- Add deeper agent engineering and orchestration coverage
- Extend into production governance and evaluation workflows
Credentials
Certification & official source
- •Azure AI Engineer Associate
Aligned to the official source referenced for this program.
View Official SourceResources
Program resources
Yes. Most enterprise clients prefer private delivery scoped to role mix, timezone, and rollout timeline. We align lab environments and scenarios to your tenant context where applicable.
Enterprise Proof
Trusted delivery outcomes
Retail & E-commerce
Representative Retail Analytics Team
Instead of treating reporting as a tooling issue alone, the work focused on consistency, governance, and shared delivery practices across analysts and engineering teams.
- Higher consistency in report design practices
- Improved collaboration between analysts and engineering teams
Healthcare
Representative Healthcare Product Team
The engagement helped product and engineering stakeholders move from interest in AI to clearer implementation choices, security expectations, and prototyping discipline.
- Stronger alignment between product and engineering teams
- Improved clarity on prototype-to-production requirements
Delivery Capability
Enterprise-grade instruction
MCT-led delivery
Programs led by Microsoft Certified Trainer practitioners
Enterprise program oversight
Founder-led specialist delivery with structured rollout planning
Global delivery
APAC · EMEA · Americas · Virtual & Onsite
Implementation-focused
Hands-on labs aligned to production scenarios
