Welcome to ONLC Training Centers

Express: Microsoft Azure AI Cloud Developer Course

Class Dates
(click date for class times)
(click Enroll for locations)
9/1-9/2
Class Dates and Times
09/01/2026Tuesday 10:00-4:45 EDT
  9:00-3:45 CDT
  8:00-2:45 MDT
  7:00-1:45 PDT
09/02/2026Wednesday10:00-4:45 EDT
  9:00-3:45 CDT
  8:00-2:45 MDT
  7:00-1:45 PDT
Last Reg Date8/27
 
Fee:  $995

Savings options:

 Learning Credits
Need a price quote?

Follow the link to our self-service price quote form to generate an email with a price quote.

Need a class for a group?

We can deliver this class for your group. Follow the link to request more information.

Email Alert

Receive an email when this class is available as "Ready to Run" or "Early Notice" status.

Train from your home or office

If you have high-speed internet and a computer you can likely take this class from your home or office.


Express: Microsoft Azure AI Cloud Developer Course

 

Special Note to New Hampshire Residents
This course has not yet been approved by the New Hampshire Department of Education. Please contact us for an update on when the class will be available in New Hampshire.

Overview

Move AI prototypes toward production-ready Azure solutions. This Express course helps developers design containerized, serverless, event-driven, vector-enabled, observable cloud backends for AI apps and agents using Azure services such as Container Apps, App Service, AKS, Functions, Service Bus, Event Grid, Cosmos DB, PostgreSQL with pgvector, Redis, Key Vault, App Configuration, and Azure Monitor.
A production cloud developer course that combines AI-200 cloud solution topics with selected AI-103 and AI-3026 integration patterns. It focuses on the Azure application layer that hosts, connects, secures, scales, and observes AI apps and agents.

Who should attend

Cloud developers, backend developers, AI application developers, solution architects, and engineers responsible for productionizing AI-driven applications on Azure.

Prerequisites

Azure developer experience, basic container and API concepts, and familiarity with at least one programming language. Prior AI app experience recommended.
Recommended prior course or experience: Azure AI Developer Express for AI app and agent logic; Azure fundamentals or AZ-204-style development experience for Azure newcomers.

Course Outline

Azure AI cloud developer landscape

  • Backend and cloud roles for AI applications
  • How compute, data, messaging, and identity fit
  • AI logic vs cloud solution development
  • Reference architecture for AI apps and agents

Containerized compute for AI solutions

  • Build, store, version, and manage images
  • Azure Container Registry and build automation
  • Deploy to App Service and Container Apps
  • Environment variables, secrets, and config

Container orchestration and scaling

  • Container Apps environments, revisions, KEDA
  • AKS orientation for teams needing Kubernetes
  • Monitoring and troubleshooting containers
  • Reliability: probes, retries, and rate limits

Azure Functions and serverless APIs

  • HTTP-triggered functions and lightweight APIs
  • Triggers and bindings for queues and events
  • Functions vs containers decision matrix
  • Observability for serverless workflows

Messaging, eventing, and service integration

  • Service Bus queues, topics, and dead-letter
  • Event Grid for loosely coupled workflows
  • Retries, poison messages, and fan-out
  • Async AI workflows for docs and agent tasks

Operational and vector data services

  • Cosmos DB for NoSQL in AI applications
  • Embeddings, vector search, and change feed
  • Azure Database for PostgreSQL with pgvector
  • Chunking, indexing, cost, and retrieval perf

Caching and application performance

  • Azure Managed Redis for cache and speedup
  • Cache invalidation and AI response latency
  • Cost and performance tradeoffs
  • Protecting cached data and secrets

Configuration, secrets, and secure access

  • Key Vault, managed identities, secret rotation
  • App Configuration for flags and settings
  • Environment separation and deploy readiness
  • Handoff to Secure AI and Cloud Workloads Express

Monitoring, observability, and troubleshooting

  • Azure Monitor, App Insights, logs, and KQL
  • OpenTelemetry and distributed tracing
  • Correlation IDs across AI calls and queues
  • Incident runbooks and operational diagnostics

Production-readiness workshop

  • Map a solution to hosting, data, and security
  • Create a deployment and troubleshooting list
  • Identify handoffs for security, SOC, and data

 

View outline in Word

LXAZCL

Attend hands-on, instructor-led Express: Microsoft Azure AI Cloud Developer training classes at ONLC's nationwide locations. Not near one of our locations? Attend these same live classes from your home/office PC via our Remote Classroom Instruction (RCI) technology.

For additional training options, check out our list of Courses and select the one that's right for you.

GENERAL INFO

Class Format
Class Policies
Student Reviews

HAVE QUESTIONS?
First Name

Last Name

Company

Phone

Email

Location

Question/Comment


ONLC TRAINING CENTERS
800-288-8221
www.onlc.com
Our Classes
Why Register with ONLC
Other Information
For Companies
For Professionals
For Government
Live Classes from Home or Office
About ONLC
Other Details
Connect