Azure AI Cloud Developer Associate AI-200 Course

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Azure AI Cloud Developer Associate AI-200 Course in Columbia helps you learn building and deploying AI solutions using Azure cloud services. It also covers integrating AI models and managing cloud-based applications. The course builds skills to develop scalable and efficient AI systems.

Build practical skills with the Azure AI Cloud Developer Associate AI-200 Course
Understand how to develop and deploy AI solutions using Azure cloud platforms
Learn to manage, monitor, and optimise AI applications in cloud environments

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Azure AI Cloud Developer Associate AI-200 Course Overview

Course syllabus

Who it’s for

What’s included

FAQs

Azure AI Cloud Developer Associate AI-200 Course Outline

Module 1: Store and Manage Containers in Azure Container Registry

Introduction
Registries, Repositories, and Artifacts
Build and Run Images with ACR Tasks
Tag and Version Images
Exercise - Build and Manage a Container Image with ACR Tasks

Module 2: Deploy Containers to Azure App Service

Introduction
Deploy Containers to Azure App Service
Configure Container Runtime Behavior
Configure Application Settings
Observe and Troubleshoot Containerized Apps
Exercise - Deploy a Container to Azure App Service

Module 3: Deploy Containers to Azure Container Apps

Introduction
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
Exercise - Deploy a Containerized Backend API to Container Apps

Module 4: Manage Containers in Azure Container Apps

Introduction
Update Images and Manage Revisions Safely
Manage the Container App Lifecycle
Monitor Logs and Troubleshoot Issues
Configure Health Probes and Troubleshoot Failures
Optimise Container Resources and Scaling
Exercise - Diagnose and Fix a Failing Deployment

Module 5: Scale Containers in Azure Container Apps

Introduction
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
Exercise - Configure Autoscaling Using KEDA Triggers

Module 6: Deploy Applications to Azure Kubernetes Service

Introduction
Create Kubernetes Deployment Manifests
Expose Applications in Azure Kubernetes Services
Deploy Applications to Azure Kubernetes Services
Exercise - Deploy an AI Inference API to Azure Kubernetes Service

Module 7: Configure Applications on Azure Kubernetes Service

Introduction
Define ConfigMaps for Application Settings
Implement Secrets for Sensitive Data
Attach Persistent Storage to an App
Exercise - Configure Apps on Azure Kubernetes Service

Module 8: Monitor and Troubleshoot Applications on Azure Kubernetes Service

Introduction
Monitor Application Logs and Metrics
Troubleshoot Pods and Services
Verify Service Connectivity and Endpoints
Exercise - Troubleshoot Apps on Azure Kubernetes Service

Module 9: Build Queries for Azure Cosmos DB for NoSQL

Introduction
Explore Azure Cosmos DB for NoSQL
Implement the Azure Cosmos DB for NoSQL SDK
Query Azure Cosmos DB for NoSQL
Exercise - Build a RAG Document Store on Azure Cosmos DB for NoSQL

Module 10: Implement Vector Search on Azure Cosmos DB for NoSQL

Introduction
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
Exercise - Build a Semantic Search Application with Azure Cosmos DB for NoSQL

Module 11: Optimise Query Performance for Azure Cosmos DB for NoSQL

Introduction
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
Exercise - Optimise Query Performance with Vector Indexes on Azure Cosmos DB for NoSQL

Module 12: Build and Query with Azure Database for PostgreSQL

Introduction
Explore Azure Database for PostgreSQL
Connect to PostgreSQL
Create and Manage Schemas
Query Data
Integrate SDKs and Applications
Exercise - Build an Agent Tool Backend on Azure Database for PostgreSQL

Module 13: Implement Vector Search with Azure Database for PostgreSQL

Introduction
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
Exercise - Implement Vector Search on Azure Database for PostgreSQL

Module 14: Optimise Vector Search in Azure Database for PostgreSQL

Introduction
Tune PostgreSQL for pgvector
Choose and Configure Vector Indexes
Optimise Data Layout
Scale for High-Volume Workloads
Connection Optimisation
Exercise - Optimise Vector Search Performance in Azure Database for PostgreSQL

Module 15: Implement Data Operations in Azure Managed Redis

Introduction
Explore Azure Managed Redis
Client Libraries and Development Best Practices
Implement Data Operations
Exercise - Perform Data Operations in Azure Managed Redis

Module 16: Implement Event Messaging with Azure Managed Redis

Introduction
Publish and Subscribe to Events with Redis Pub/Sub
Implement Task Queues with Redis Streams
Choose Between Broadcast and Coordinated Distribution
Exercise - Publish and Subscribe to Events in Azure Managed Redis

Module 17: Implement Vector Storage in Azure Managed Redis

Introduction
Index and Query Vector Data
Choose Vector Types and Indexing Strategies
Optimise Redis Data Structures for Vector Storage
Exercise - Implement Semantic Search in Azure Managed Redis

Module 18: Queue and Process AI Operations with Azure Service Bus

Introduction
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
Exercise - Process Messages with Azure Service Bus

Module 19: Develop Event-Driven AI Workflows with Azure Event Grid

Introduction
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
Exercise - Publish and Receive Events with Azure Event Grid

Module 20: Build Serverless AI Backends with Azure Functions

Introduction
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
Exercise - Create an MCP Server with Azure Functions

Module 21: Manage Application Secrets with Azure Key Vault

Introduction
Store and Organise Secrets, Keys, and Certificates
Retrieve Secrets Using Azure SDK Client Libraries
Handle Secret Versioning and Rotation
Implement Caching Strategies to Reduce Key Vault Calls
Exercise - Manage Secrets with Azure Key Vault

Module 22: Manage Application Settings with Azure App Configuration

Introduction
Connect to App Configuration from Application Code
Organise Settings with Labels and Feature Flags
Reference Key Vault Secrets from App Configuration
Decide What to Store in App Configuration vs Key Vault
Exercise - Retrieve Settings and Secrets from Azure App Configuration

Module 23: Instrument an App with OpenTelemetry

Introduction
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
Exercise - Instrument an App with the OpenTelemetry SDK

Module 24: Analyse App Telemetry with Logs and Metrics

Introduction
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
Exercise - Query Logs with KQL

Who Should Attend This Azure AI Cloud Developer Associate AI-200 Course

This course is designed for professionals who want to build and manage AI solutions on cloud platforms using Azure. It is ideal for individuals looking to develop, deploy, and maintain AI-powered applications in real-world environments. This course is particularly beneficial for the following professionals:

AI Developers
Cloud Developers
Software Engineers
Data Professionals
Application Developers
IT Professionals

Prerequisites of the Azure AI Cloud Developer Associate AI-200 Course

There are no formal prerequisites for this course. However, a basic understanding of programming, cloud computing concepts, and familiarity with Microsoft Azure may be beneficial.

Azure AI Cloud Developer Associate AI-200 Overview

The Azure AI Cloud Developer Associate AI-200 Course provides a practical understanding of how to build and deploy AI solutions using Microsoft Azure cloud services. It introduces key concepts required to develop intelligent applications in cloud environments.

The training focuses on integrating AI services, managing deployments, and monitoring performance of AI-powered applications. Organisations can use these skills to build scalable, reliable, and efficient AI systems in the cloud.

This 5-Day course offered by The Knowledge Academy equips delegates with the knowledge and skills required to develop and manage AI solutions effectively using Azure cloud platforms. It also helps professionals understand how to design, integrate, and optimise AI applications for real-world business use cases.

Azure AI Cloud Developer Associate AI-200 Course Objectives

To understand how to build AI solutions using Azure cloud services
To develop and deploy AI applications in cloud environments
To integrate AI services into applications
To monitor and optimise AI system performance
To manage cloud-based AI solutions securely and efficiently
To apply AI development practices in real-world scenarios

Upon completing this course, delegates will be able to build, deploy, and manage AI solutions effectively using Azure cloud platforms.

What’s Included in this AI-200 Course?

World-Class Training Sessions from Experienced Instructors
Azure AI Cloud Developer Associate AI-200 Certificate
Digital Delegate Pack
Interactive Learning with 24×7 Support

Hands-On Labs: Included as part of our online instructor-led delivery, these labs provide real-world exercises in a simulated environment guided by expert instructors to enhance your practical skills.

Train Your Workforce

Looking for Azure AI Cloud Developer Associate AI-200 Course in-house or onsite training in Columbia? We specialise in corporate group training and bulk bookings for organisations of all sizes in Columbia. Our trainers deliver tailored sessions at your premises, online, or hybrid, with best price guarantee, group discounts and flexible scheduling to train your team.

Our Columbia venue

Includes..

Free Wi-Fi

To make sure you’re always connected we offer completely free and easy to access wi-fi.

Air conditioned

To keep you comfortable during your course we offer a fully air conditioned environment.

Full IT support

IT support is on hand to sort out any unforseen issues that may arise.

Video equipment

This location has full video conferencing equipment.

Columbia is a community based in Maryland, USA. It is in Howard County and has a population of around 100,000 people. It is repeatedly voted as one of the ‘best places to live in America’ by CCN Money. There are a range of public schools in Columbia, the majority of which are operated by Howard County Public School System. The high schools include Hammond High School and River Hill High School. There are no traditional universities or colleges in Columbia but there is a community college; Howard Community College and several further education establishments have facilities in the area such as University of Phoenix and American Career Institute. Howard Community College was established in 1966 and enrols around 28,000 students a year. It offers programs over a range of seven academic subjects; arts and humanities, business and computers, workforce development, languages, health sciences, mathematics, science and engineering and teacher education. The unemployment rate in Columbia is at 4.7%. This has improved slightly since last year’s rate of 5.5%.

Ways to take Azure AI Cloud Developer Associate AI-200 Course in Columbia

Online Instructor-Led Learning

Online Self-Paced Learning

Onsite Learning

Experience live, interactive learning from home with The Knowledge Academy's Online Instructor-led Azure AI Cloud Developer Associate AI-200 Course. Engage directly with expert instructors, mirroring the classroom schedule for a comprehensive learning journey. Enjoy the convenience of virtual learning without compromising on the quality of interaction.

Live classes

Join a scheduled class with a live instructor and other delegates.

Interactive

Engage in activities, and communicate with your trainer and peers.

Global Pool of the Best Trainers

We handpick from a global pool of expert trainers for our Online Instructor-led courses.

Expertise

With 10+ years of quality, instructor-led training, we equip professionals with lasting skills for success.

Scalable Training Delivery

Access Azure AI Cloud Developer Associate AI-200 Course in Columbia delivered by one of the largest training providers, with scalable instructor-led classes, accessible worldwide.

Master Azure AI Cloud Developer Associate AI-200 Course with a flexible yet structured approach that combines live, expert-led sessions and self-paced study. With Weekly one-to-one tutor support and consistently high pass rates, you’ll receive tailored guidance and achieve real results.

Structured Yet Flexible Learning

Take part in scheduled, instructor-led sessions with real-time feedback, while enjoying the freedom to study independently. Interactive resources and progress tracking tools help you stay motivated and on target.

Engaging & Interactive Training

Join dynamic live sessions featuring discussions, practical activities, and peer collaboration. Learn from Azure AI Cloud Developer Associate AI-200 Course industry experts and reinforce your knowledge with self-paced modules—plus, connect with professionals in your field.

Expert-Led Course

Gain valuable insight from experienced trainers during live sessions, and revisit course materials anytime to deepen your understanding. This method offers the ideal balance between expert guidance and independent learning.

Global Training Accessibility

Access top-quality training across time zones—anytime, anywhere. Whether at home or on the go, our expert-led sessions and flexible study materials support your goals, and help you on the journey towards the certification.

Learn Azure AI Cloud Developer Associate AI-200 Course through The Knowledge Academy’s Online Self-Paced Learning. This flexible and structured format supports your training goals and enables every professional to build skills with confidence.

Flexible Learning

Access Azure AI Cloud Developer Associate AI-200 Course resources 24/7 to maintain steady progress, complete regular assessments or tasks, and upskill effectively alongside work commitments.

Expert-Developed Content

Our Online Course content is designed by experienced trainers to ensure accuracy, relevance, and practical value.

Global Training Provider

Access Azure AI Cloud Developer Associate AI-200 Course in Columbia from a trusted global training provider delivering consistent learning to professionals worldwide.

Cost-Effective Training

Benefit from the cost-effective Azure AI Cloud Developer Associate AI-200 Course that delivers high-quality course content without compromising learning outcomes.

Interactive LMS

Track performance, download resources, and receive AI-enabled support through The Knowledge Academy’s dedicated Learning Management System.

Azure AI Cloud Developer Associate AI-200 Course Schedule in Columbia

Online Instructor-Led

Online Self-Paced

Classroom

Onsite

We’re updating the schedule!

We’re currently in the process of updating the schedule for this course. For upcoming dates and pricing, please get in touch with us. We’ll be happy to help you find the best option for your training.

Package deals for Azure AI Cloud Developer Associate AI-200 Course in Columbia

Our training experts have compiled a range of course packages on a variety of categories in Azure AI Cloud Developer Associate AI-200 Course, to boost your career. The packages consist of the best possible qualifications with Azure AI Cloud Developer Associate AI-200 Course, and allows you to purchase multiple courses at a discounted rate.

Azure AI Cloud Developer Associate AI-200 Course FAQs

What time shall I arrive at the venue?

Please arrive at the venue at 8:45am.

What are the pre-requisites?

Who should attend this course?

Do you offer support for the course?

We are able to provide support via phone & email prior to attending, during and after the course.

What is included in the course?

Delegate pack consisting of course notes and exercises, Manual, Experienced Instructor, and Refreshments

What is the duration of this course?

This course is [ ] day(s)

How long until I receive the course confirmation details?

Once your booking has been placed and confirmed, you will receive an email which contains your course location, course overview, pre-course reading material (if required), course agenda and payment receipts

Which is the best training institute/provider of Azure AI Cloud Developer Associate AI-200 Course in Columbia?

The Knowledge Academy is one of the Leading global training provider for Azure AI Cloud Developer Associate AI-200 Course.

What are the best Microsoft Azure Certification courses in Columbia?

Please see our Microsoft Azure Certification courses available in Columbia

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