Applied AI cert-prep add-on

Microsoft Azure AI Engineer Associate (AI-102) Exam Prep Add-On

Convert AI Engineering Mastery into an Azure AI Engineer Associate (AI-102) ramp focused on the Azure AI service stack.

$147 add-on50h additional studyTarget exam: Microsoft Certified: Azure AI Engineer AssociateExam fee: $165

What the add-on ships

++Domain reviews aligned to the official Microsoft AI-102 exam study guide
++Three full-length 40 to 60 question mock exams in Microsoft's case-study format
++Hands-on labs runnable on the Azure free tier for Azure OpenAI, AI Search, Content Safety, Document Intelligence, Speech, Vision, and Language services
++Responsible AI in Azure: Microsoft's Responsible AI Standard and the Azure AI Content Safety service
++Direct link to the official Microsoft Learn AI-102 exam page as the canonical reference

Built on the parent course

++AI Engineering Mastery 18-module curriculum covering RAG, fine-tuning, agents, evals, observability, cost engineering
++Production GenAI patterns from the parent course that map directly to Azure OpenAI and the Azure AI service catalog

Parent course: ai engineering mastery

Best for

++AI Engineers building production GenAI features on Azure OpenAI
++Solutions architects with an Azure-heavy customer portfolio
++Application developers extending existing .NET / Python apps with Azure AI services

Practice surface

++Three Microsoft-format mock exams including the case-study question style
++Azure free-tier hands-on labs across the AI service catalog
++Targeted weak-area question drilling per AI-102 exam objective

Buy the add-on

$147 on top of the ai engineering mastery parent course. Lifetime access to the practice materials, mock exams, and exam-day worksheets.

See the parent course

Exam summary

Microsoft Azure AI Engineer Associate (AI-102) covers building AI solutions on the Azure AI service catalog. Five domains: planning and managing Azure AI solutions, implementing generative AI solutions, implementing agentic solutions, implementing computer vision solutions, implementing language and knowledge mining solutions. Exam is 40 to 60 questions including case-study format.

Domain reviews

Plan and Manage Azure AI Solutions

15-20%

Azure AI service selection, deployment, security, and monitoring.

++Azure AI service catalog: Azure OpenAI, AI Search, AI Foundry, Document Intelligence, Speech, Vision, Language, Translator, Bot Service
++Authentication: Azure AD, managed identity, key-based
++Networking: private endpoints, VNet integration
++Responsible AI: Microsoft Responsible AI Standard, Azure AI Content Safety
++Monitoring: Application Insights, Azure Monitor, diagnostic logs

Primary sources:

AI-102 study guide

Implement Generative AI Solutions

20-25%

Azure OpenAI Service, retrieval augmented generation on Azure AI Search.

++Azure OpenAI deployment, model selection, capacity (PTUs vs pay-as-you-go)
++Azure AI Search: vector indexes, hybrid search, semantic ranker
++RAG patterns on Azure: chat-with-your-data, custom RAG pipelines
++Prompt flow and prompt engineering on Azure AI Foundry
++Content filtering and Azure AI Content Safety

Primary sources:

Implement Agentic Solutions

15-20%

Azure AI Foundry agents, Bot Service, and tool integrations.

++Azure AI Foundry agent framework
++Function calling and tool definitions
++Azure Bot Service and Microsoft 365 Copilot extensions
++Multi-agent orchestration patterns

Primary sources:

Azure AI Foundry docs

Implement Computer Vision Solutions

15-20%

Azure AI Vision service, custom vision models, document analysis.

++Azure AI Vision: image analysis, OCR, face detection
++Azure AI Document Intelligence: forms, invoices, receipts, custom models
++Azure AI Custom Vision: model training, deployment
++Video analysis with Azure AI Video Indexer

Primary sources:

Azure AI Vision docs

Implement Language and Knowledge Mining Solutions

20-25%

Azure AI Language, AI Translator, AI Speech.

++Azure AI Language: NER, sentiment analysis, key phrase extraction, summarization, PII detection, question answering
++Azure AI Translator: text and document translation
++Azure AI Speech: speech-to-text, text-to-speech, speaker recognition
++Knowledge mining patterns: AI Search with skillsets

Primary sources:

Azure AI Language docs

Practice scenarios (5)

Practice scenarios are scenario-based learning, not exam-question mimicry. Each scenario maps to a specific exam domain and includes a worked explanation plus a primary-source citation. Reproducing actual exam items would violate the cert body's NDA; the format here exercises the same underlying concepts under different surface phrasing.

Preview scenario 1 of 5 · Plan and Manage Azure AI Solutionsfree preview

A regulated-industry team needs all Azure AI service traffic to stay within their VNet, with no public endpoint. Which feature fits?

A. Azure private endpoints with private DNS zones, plus VNet integration on the Azure AI resource
B. Public endpoint with IP allowlist only
C. ExpressRoute
D. Azure Firewall outbound rules

Answer: A

Azure private endpoints + private DNS keep traffic on the Microsoft backbone with no public-internet exposure. IP allowlists still leave the public endpoint reachable from the internet. ExpressRoute is for hybrid corporate connectivity. Azure Firewall regulates egress but does not eliminate the public endpoint.

Reference: Azure private endpoint docs

Unlock the rest

4 more practice scenarios with full explanations and primary-source citations

The remaining scenarios cover every exam domain at the same depth as the preview above. Includes the exam-day strategy guide and additional study resources. $147 one-time, lifetime access.

Exam-day strategy

++Identify the Azure service the question is testing within the first read. Most questions resolve by matching the use case to the right named service.
++Watch for distractors that confuse Document Intelligence (forms) with Vision Read (text-only OCR), or PII detection (Language) with Content Safety (moderation).
++Case-study questions are weighted. Read the case study once before tackling its sub-questions; the scenario context matters.
++PTUs vs pay-as-you-go and managed identity vs key-based auth are repeated patterns. Memorize the canonical fit for each.
++Pace at roughly 90 seconds per question across a 100-minute exam. Reserve time for the case studies.

Additional resources

Sources

Official Microsoft Certified: Azure AI Engineer Associate exam page (certifying body)

Exam fee and blueprint last verified 2026-05-22. Confirm current values with the certifying body before scheduling the exam.

What the add-on ships

++Domain reviews aligned to the official Microsoft AI-102 exam study guide

++Three full-length 40 to 60 question mock exams in Microsoft's case-study format

++Hands-on labs runnable on the Azure free tier for Azure OpenAI, AI Search, Content Safety, Document Intelligence, Speech, Vision, and Language services

++Responsible AI in Azure: Microsoft's Responsible AI Standard and the Azure AI Content Safety service

++Direct link to the official Microsoft Learn AI-102 exam page as the canonical reference

Exam summary

Domain reviews

Plan and Manage Azure AI Solutions

15-20%

Azure AI service selection, deployment, security, and monitoring.

++Azure AI service catalog: Azure OpenAI, AI Search, AI Foundry, Document Intelligence, Speech, Vision, Language, Translator, Bot Service
++Authentication: Azure AD, managed identity, key-based
++Networking: private endpoints, VNet integration
++Responsible AI: Microsoft Responsible AI Standard, Azure AI Content Safety
++Monitoring: Application Insights, Azure Monitor, diagnostic logs

Primary sources:

AI-102 study guide

Implement Generative AI Solutions

20-25%

Azure OpenAI Service, retrieval augmented generation on Azure AI Search.

++Azure OpenAI deployment, model selection, capacity (PTUs vs pay-as-you-go)
++Azure AI Search: vector indexes, hybrid search, semantic ranker
++RAG patterns on Azure: chat-with-your-data, custom RAG pipelines
++Prompt flow and prompt engineering on Azure AI Foundry
++Content filtering and Azure AI Content Safety

Primary sources:

Implement Agentic Solutions

15-20%

Azure AI Foundry agents, Bot Service, and tool integrations.

++Azure AI Foundry agent framework
++Function calling and tool definitions
++Azure Bot Service and Microsoft 365 Copilot extensions
++Multi-agent orchestration patterns

Primary sources:

Azure AI Foundry docs

Implement Computer Vision Solutions

15-20%

Azure AI Vision service, custom vision models, document analysis.

++Azure AI Vision: image analysis, OCR, face detection
++Azure AI Document Intelligence: forms, invoices, receipts, custom models
++Azure AI Custom Vision: model training, deployment
++Video analysis with Azure AI Video Indexer

Primary sources:

Azure AI Vision docs

Implement Language and Knowledge Mining Solutions

20-25%

Azure AI Language, AI Translator, AI Speech.

++Azure AI Language: NER, sentiment analysis, key phrase extraction, summarization, PII detection, question answering
++Azure AI Translator: text and document translation
++Azure AI Speech: speech-to-text, text-to-speech, speaker recognition
++Knowledge mining patterns: AI Search with skillsets

Primary sources:

Azure AI Language docs

Practice scenarios (5)

Preview scenario 1 of 5 · Plan and Manage Azure AI Solutionsfree preview

A regulated-industry team needs all Azure AI service traffic to stay within their VNet, with no public endpoint. Which feature fits?

A. Azure private endpoints with private DNS zones, plus VNet integration on the Azure AI resource
B. Public endpoint with IP allowlist only
C. ExpressRoute
D. Azure Firewall outbound rules

Answer: A

Reference: Azure private endpoint docs

Unlock the rest

4 more practice scenarios with full explanations and primary-source citations

The remaining scenarios cover every exam domain at the same depth as the preview above. Includes the exam-day strategy guide and additional study resources. $147 one-time, lifetime access.

Exam-day strategy

++Identify the Azure service the question is testing within the first read. Most questions resolve by matching the use case to the right named service.

++Watch for distractors that confuse Document Intelligence (forms) with Vision Read (text-only OCR), or PII detection (Language) with Content Safety (moderation).

++Case-study questions are weighted. Read the case study once before tackling its sub-questions; the scenario context matters.

++PTUs vs pay-as-you-go and managed identity vs key-based auth are repeated patterns. Memorize the canonical fit for each.

++Pace at roughly 90 seconds per question across a 100-minute exam. Reserve time for the case studies.