MCA Azure AI Cloud Developer Certification (AI-200) Boot Camp

Upcoming Sessions

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Date

Location / Format

Price

Sep 28 – Oct 2, 2026

Sarasota, FL · Onsite

$3,295.00

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Oct 5–9, 2026

Sarasota, FL · Onsite

$3,295.00

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Nov 16–20, 2026

Sarasota, FL · Onsite

$3,295.00

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Dec 7–11, 2026

Sarasota, FL · Onsite

$3,295.00

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Jan 18–22, 2027

Sarasota, FL · Onsite

$3,295.00

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Feb 22–26, 2027

Sarasota, FL · Onsite

$3,295.00

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Mar 22–26, 2027

Sarasota, FL · Onsite

$3,295.00

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Training a team? Get a customized Team Quote Volume pricing available for groups and corporate training.

Upcoming Sessions Azure AI Cloud Developer

Sep 28 – Oct 2, 2026
Oct 5–9, 2026
Nov 16–20, 2026
Dec 7–11, 2026
Jan 18–22, 2027
Feb 22–26, 2027
Mar 22–26, 2027

Get Quote

Course Details

MCA Azure AI Cloud Developer Certification (AI-200) Boot Camp

Duration

5 Days

Exams Covered

AI-200

Delivery

Classroom Live
Remote Live

Included

Vouchers + Retake + Official Labs

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Get access to training from 10+ established certification training providers, giving you more options to find the right course, schedule, delivery format, and training solution for your certification goals.

Live Certified Instructors

Learn directly from experienced certified instructors—not prerecorded videos or self-paced material.

Official Training

Train with authorized, official courseware and curriculum from leading technology certification providers. Get the same industry-recognized training designed to prepare professionals for today’s most in-demand certifications and technology roles.

Course Description

Description

Master the architecture, deployment, and optimization of enterprise-grade AI solutions. This intensive, 5-day boot camp is engineered specifically for backend developers, DevOps professionals, and software engineers tasked with building the high-performance infrastructure that drives modern AI workloads.

Through hands-on labs and expert instruction, you will learn to implement robust Azure compute and containerization patterns, deploy serverless APIs using Azure Functions, and architect resilient, event-driven messaging pipelines. You’ll also gain deep expertise in managing the underlying data layer for AI applications, including designing, scaling, and querying high-velocity databases using Cosmos DB for NoSQL and Azure Database for PostgreSQL.

EXAMS INCLUDED

AI-200: Develop AI Cloud Solutions on Azure

Prerequisites

Experience developing software applications
Familiarity with Python or C#
Basic understanding of cloud computing concepts
Basic familiarity with Azure services
Understanding of REST APIs and JSON recommended

Microsoft Gold Learning Partner

Career Camps has developed a comprehensive training / delivery format which focuses on learning beyond the core content accessible to any Microsoft training provider. Our program incorporates interactive demonstrations with explanations which go beyond the content of the book. Additional content, videos, labs & demonstrations are provided to expand on advanced topics – providing additional insight and perspective.

Career Camps training is not the typical book & PowerPoint presentation found at any local training center.

As a Microsoft Certified Partner with Gold Learning Competency – we adhere to the strict guidelines, standards and requirements to use Microsoft’s exclusive curriculum. More over – our standards go beyond the “minimum requirements” set forth by Microsoft Learning.

We leverage our partnership benefits of courseware customization to build end to end technology training solutions. Students gain practical skills which can be implemented immediately.

At most training centers – learning starts on the first day of class and ends on the last day. Our boot camp training program is designed to offer resources before, during and after.

Microsoft Azure Certifications

Microsoft Job Role-based Azure Certifications

Microsoft has aligned Azure certifications and training to job roles – focusing on Admin, Dev or Architect.
Each certification requires 2 exams and no certification has any prerequisite certification requirements.

What You'll Learn

Implement container application hosting on Azure
Deploy and manage apps on Azure Container Apps
Deploy and monitor applications on Azure Kubernetes Service
Develop AI solutions with Azure Cosmos DB for NoSQL
Develop AI solutions with Azure Database for PostgreSQL
Enhance AI solutions with Azure Managed Redis
Integrate backend services for AI solutions
Manage application secrets and configuration for AI solutions
Observe and troubleshoot apps on Azure

Course Outline

Store and manage containers in Azure Container Registry

Registries, repositories, and artifacts
Build and run images with ACR Tasks
Tag and version images

Deploy containers to Azure App Service

Deploy containers to Azure App Service
Configure container runtime behavior
Configure application settings
Observe and troubleshoot containerized apps

Deploy containers to Azure Container Apps

Explore Container Apps environments
Deploy a container app using the Azure CLI and YAML
Configure runtime settings with environment variables and secrets
Configure image pull authentication for private registries
Verify deployments with logs and status

Manage containers in Azure Container Apps

Update images and manage revisions safely
Manage the container app lifecycle
Monitor logs and troubleshoot issues
Configure health probes and troubleshoot failures
Optimize container resources and scaling

Scale containers in Azure Container Apps

Configure scale rules
Implement event-driven scaling with KEDA
Apply KEDA scalers for custom workloads
Select compute resources for performance and cost
Choose and apply revision modes

Deploy applications to Azure Kubernetes Service

Create Kubernetes deployment manifests
Expose applications in Azure Kubernetes Services
Deploy applications to Azure Kubernetes Services

Configure applications on Azure Kubernetes Service

Define ConfigMaps for application settings
Implement secrets for sensitive data
Attach persistent storage to an app

Monitor and troubleshoot applications on Azure Kubernetes Service

Monitor application logs and metrics
Troubleshoot pods and services
Verify service connectivity and endpoints

Build queries for Azure Cosmos DB for NoSQL

Explore Azure Cosmos DB for NoSQL
Implement the Azure Cosmos DB for NoSQL SDK
Query Azure Cosmos DB for NoSQL

Implement vector search on Azure Cosmos DB for NoSQL

Store and retrieve embeddings in Azure Cosmos DB
Execute vector similarity queries for semantic search
Combine vector similarity results with metadata filtering
Use the change feed to trigger embedding refresh

Optimize query performance for Azure Cosmos DB for NoSQL

Understand indexes in Azure Cosmos DB
Configure range and composite indexes
Tune vector indexes for embedding workloads
Reduce RU costs with strategic indexing
Choose consistency levels for optimal performance

Build and query with Azure Database for PostgreSQL

Explore Azure Database for PostgreSQL
Connect to PostgreSQL
Create and manage schemas
Query data
Integrate SDKs and applications

Implement vector search with Azure Database for PostgreSQL

Store and query embeddings with pgvector
Perform fast vector similarity search
Manage index lifecycle and embedding updates
Run vector similarity search for semantic retrieval
Implement retrieval patterns for RAG pipelines

Optimize vector search in Azure Database for PostgreSQL

Tune PostgreSQL for pgvector
Choose and configure vector indexes
Optimize data layout
Scale for high-volume workloads
Connection optimization

Implement data operations in Azure Managed Redis

Explore Azure Managed Redis
Client libraries and development best practices
Implement data operations

Implement event messaging with Azure Managed Redis

Publish and subscribe to events with Redis pub/sub
Implement task queues with Redis Streams
Choose between broadcast and coordinated distribution

Implement vector storage in Azure Managed Redis

Index and query vector data
Choose vector types and indexing strategies
Optimize Redis data structures for vector storage

Queue and process AI operations with Azure Service Bus

Explore Azure Service Bus concepts and messaging in AI architectures
Choose between queues and topics with subscriptions
Structure messages for AI workloads
Process messages reliably

Develop event-driven AI workflows with Azure Event Grid

Understand Azure Event Grid concepts and event-driven patterns for AI solutions
Work with event schemas and properties
Configure delivery and retry policies for reliable event processing
Publish custom events from AI applications

Build serverless AI backends with Azure Functions

Understand Azure Functions hosting and scaling for AI workloads
Set up the local development environment for Functions
Create triggers and bindings for AI integration patterns
Manage secrets and configuration in Functions
Configure identity and access for Functions

Manage application secrets with Azure Key Vault

Store and organize secrets, keys, and certificates
Retrieve secrets using Azure SDK client libraries
Handle secret versioning and rotation
Implement caching strategies to reduce Key Vault calls

Manage application settings with Azure App Configuration

Connect to App Configuration from application code
Organize settings with labels and feature flags
Reference Key Vault secrets from App Configuration
Decide what to store in App Configuration vs Key Vault

Instrument an app with OpenTelemetry

Explore OpenTelemetry and its role in observability
Add the OpenTelemetry SDK to an application
Configure spans and traces
Export telemetry to Azure Monitor
Debug distributed flows with trace data

Analyze app telemetry with logs and metrics

Write basic KQL queries
Explore logs for errors and performance
Build dashboards for app telemetry
Create workbooks for interactive analysis
Set alerts for app failures and anomalies

Frequently Asked Questions

What is the Microsoft Azure AI Cloud Developer Certification (AI-200) Boot Camp?

The MCA Azure AI Cloud Developer Certification (AI-200) Boot Camp is an intensive instructor-led training program designed to help developers and IT professionals build skills in Microsoft Azure cloud development and artificial intelligence (AI). The course focuses on developing, deploying, integrating, and managing cloud-based AI solutions using Microsoft Azure technologies.

Who should take Azure AI-200 training?

The course is designed for Azure developers, software developers, cloud developers, AI developers, DevOps professionals, and IT professionals who want to develop applications and AI-powered solutions on Microsoft Azure.

Do I need previous Azure experience to take the AI-200 Boot Camp?

Some experience with software development, cloud computing, Azure services, or programming is recommended. Participants with prior Azure development experience will generally be better prepared for the technical concepts covered in an advanced Azure AI development course.

Is the Microsoft AI-200 exam difficult?

The AI-200 exam is intended for professionals with technical Azure and development knowledge. It can be challenging because candidates must understand how to apply Azure technologies and development concepts to real-world scenarios rather than simply memorize terminology.

What programming skills should I have before taking Azure AI-200 training?

A working knowledge of software development and programming is recommended. Familiarity with application development concepts, APIs, cloud services, data, and development tools can also help participants get the most from the course.

Is this Azure AI certification training good for beginners?

The AI-200 Boot Camp is better suited to participants who already have some experience with software development, Azure, cloud computing, or related IT technologies. Those completely new to Azure or programming may want to establish foundational skills before taking an advanced Azure AI developer course.