Training course
This is a free, self-paced reading course for AI-200: Microsoft Azure AI Cloud Developer Associate — the successor to the retiring AZ-204 Azure Developer track, and a rebuild of the associate developer tier around AI-integrated applications rather than generic compute and storage. The distinction shapes everything about how you should study for it. AI-200 assumes you already deploy containers, wire up messaging, and instrument applications; what it tests is whether you make the right call when a foundation model, a vector store, and an event-driven pipeline all have to work together under a production SLA.
The course is organised as one module per official exam domain, in the order Microsoft publishes them, and each module carries the domain’s published weight. That keeps the time you spend proportional to the time the exam spends: AI data management services is the heaviest domain at 28%, and vector-backed storage gets the most room here as a result. Every module ends with its key terms and suggested further reading. On an exam this service-dense — diskANN against HNSW, PeekLock against Event Grid delivery semantics, RBAC against vault access policies — the further reading is where you turn a recognised name into a decision you can defend.
What the course covers
Containerized AI solutions on Azure
Module 1 · 23%Deploying and operating AI workloads across Azure Container Registry, Azure Container Apps, AKS, and App Service. ACR Tasks with base-image triggers and geo-replication; Container Apps multi-revision canaries and KEDA scale-to-zero rules; Azure Workload Identity federated to Kubernetes service accounts; tag immutability; and managed-identity image pulls instead of stored registry credentials.
AI data management services
Module 2 · 28%The heaviest domain, and the one that most distinguishes AI-200 from the developer exam it replaces. Cosmos DB for NoSQL — session consistency, tenant partitioning, diskANN vector indexes, and the change feed. Azure Database for PostgreSQL Flexible Server with pgvector — HNSW indexes, cosine operators, Memory-Optimized sizing, and PgBouncer connection pooling. And Azure Managed Redis — cache-aside, FT.CREATE VECTOR indexes, and volatile-lru eviction.
Azure services integration
Module 3 · 23%Wiring AI workloads into the rest of Azure. Service Bus with PeekLock, sessions, correlation filters, and dead-letter queues; Event Grid with at-least-once delivery, subjectBeginsWith filters, and dead-lettering; and Azure Functions — Cosmos DB triggers on the change feed, the Premium plan where you need VNet integration without cold starts, Durable Functions fan-out and fan-in, and output bindings. The domain consistently favours native bindings over hand-written client code, and the questions are built to reward that instinct.
Security, monitoring, and troubleshooting
Module 4 · 25%Securing and observing what you have built. Key Vault references from App Configuration, SecretNearExpiry rotation through Event Grid, the DefaultAzureCredential chain, Azure RBAC set against vault access policies, soft delete recovery, and sharing a user-assigned managed identity across services. Then Application Insights through the Azure Monitor OpenTelemetry Distro — adaptive sampling, Live Metrics streams, KQL for error triage, and Standard availability tests.
How to use it
Read a module, then take the matching portion of the AI-200 practice exam rather than waiting until you have read everything. On this exam that sequencing matters more than usual, because a large share of the items turn on picking between two services that both work — and the only way to find out whether you can do that is to be asked. Expect the difficulty to sit in module 2’s vector-data questions and module 4’s security and observability judgement calls; the container-lifecycle material in module 1 is comparatively light.
Pair the reading with an Azure subscription if you can. Standing up a Container Apps revision, indexing a few thousand embeddings in pgvector, and watching a Cosmos DB change feed trigger a Function does more for retention than any amount of re-reading, and the case-study format rewards people who have seen these services behave. For exam logistics — format, duration, question count, the 700 out of 1000 scaled pass mark, and the blueprint version this material tracks — see the AI-200 certification guide.
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Frequently asked questions about the AI-200 training course
Is the AI-200 training course free?
Yes. The course is free to read and requires no signup or account. It is funded by the same practice-exam catalogue it sits alongside.
How is the course structured?
One module per official AI-200 exam domain, in Microsoft’s published order, with each module weighted to the domain’s published percentage. Within each module the material is broken into short lessons, followed by key terms and further reading. Because AI data management services carries 28%, it is the longest module.
Does this replace Microsoft’s official training?
No. Microsoft Learn is the authoritative source for the AI-200 study guide and its learning paths. This course is an independent study companion — written to be read quickly and to slot alongside practice questions — not a substitute for the official material.
Do I need development experience before starting?
Yes, more than most associate courses assume. The AI-200 blueprint takes for granted that you already deploy containers, wire up messaging and serverless services, and instrument applications, rather than learning those things here. If you are newer to the platform, the AZ-900 and AI-900 courses are the sensible way in.
What should I do after finishing the course?
Move to the AI-200 practice exam and work until module 2 and module 4 are as solid as module 1, since those are where the exam does most of its separating. Practise the case-study format specifically — reading a scenario once and answering several questions from it is a different skill from answering standalone items.
Is the course current with the latest AI-200 outline?
The course is built against the four-domain blueprint the certification guide tracks, version v1-2026-05, with the weightings Microsoft publishes for it. AI-200 is a new exam and Microsoft can revise a new blueprint faster than a settled one; check the current study guide on Microsoft Learn before you book.
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All course content, questions, answers, and explanations on Certifym are original content created for study purposes. They are not actual Microsoft training materials or examination questions and are not represented as such. Studying with these materials does not guarantee a passing result on any live certification exam. Exam requirements, format, domain weights, and pricing are set by Microsoft and may change; always verify current details on Microsoft Learn before scheduling your exam.