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Developing AI Cloud Solutions on Azure (AI-200) Course

Item: Developing AI Cloud Solutions on Azure (AI-200) Course
Rating: 10
Author: Johan Andersson

This course teaches developers how to create, monitor, and troubleshoot AI solutions on Microsoft Azure.

course: Microsoft Azure AI Cloud Developer (AI-200)

Duration: 5 days

Format: Virtual or Classroom

Prepares for Exam: Microsoft Azure AI Cloud Developer AI-200

Prepares for Certification: Microsoft Certified: Azure AI Cloud Developer Associate Certification

Attend this and 60+ other Microsoft courses for FREE with Unlimited Microsoft Training

Overview

Students will learn how to implement Azure compute and containerization patterns to host applications, build serverless APIs with Azure Functions, and integrate services using event driven and message based architectures such as Azure Service Bus and Event Grid. The course also covers working with Azure data services that support AI workloads, including designing and querying solutions with Cosmos DB for NoSQL, Azure Database for PostgreSQL with pgvector, and Azure Managed Redis for caching, streaming, and vector search. By the end of the course, developers will be able to connect services, orchestrate AI workflows, and build secure, scalable, and observable AI driven applications on Azure.

This course includes

Instructor-led training
Practice test
Pre-reading
Personal Learning Path
Certification Guarantee
Email, chat and phone support

Who is the Developing AI Cloud Solutions on Azure (AI-200) training course for?

This course is designed for developers who build backend and AI driven applications on Azure and need practical skills in containerized compute, data services for AI, event driven workflows, and application security and monitoring.

Curriculum

What you will learn during our Developing AI Cloud Solutions on Azure (AI-200) course.

Implement container application hosting on Azure

Store and manage containers in Azure Container Registry
Deploy containers to Azure App Service

Deploy and manage apps on Azure Container Apps

Deploy containers to Azure Container Apps
Manage containers in Azure Container Apps
Scale containers in Azure Container Apps

Deploy and monitor applications on Azure Kubernetes Service

Deploy applications to Azure Kubernetes Service
Configure applications on Azure Kubernetes Service
Monitor and troubleshoot applications on Azure Kubernetes Service

Develop AI solutions with Azure Cosmos DB for NoSQL

Build queries for Azure Cosmos DB for NoSQL
Implement vector search on Azure Cosmos DB for NoSQL
Optimize query performance for Azure Cosmos DB for NoSQL

Develop AI solutions with Azure Database for PostgreSQL

Build and query with Azure Database for PostgreSQL
Implement vector search with Azure Database for PostgreSQL
Optimize vector search in Azure Database for PostgreSQL

Enhance AI solutions with Azure Managed Redis

Implement data operations in Azure Managed Redis
Implement event messaging with Azure Managed Redis
Implement vector storage in Azure Managed Redis

Integrate backend services for AI solutions

Queue and process AI operations with Azure Service Bus
Develop eventdriven AI workflows with Azure Event Grid
Build serverless AI backends with Azure Functions

Manage application secrets and configuration for AI solutions

Manage application secrets with Azure Key Vault
Manage application settings with Azure App Configuration

Observe and troubleshoot apps on Azure

Instrument an app with OpenTelemetry
Analyze app telemetry with logs and metrics

Preparation

At Readynez, we provide many resources and have experienced experts in the field. That is why we are also very successful with many satisfied customers. You can therefore safely take your course with us. While there are no strict entry requirements, certain foundational knowledge may enhance your learning experience. Any recommended prerequisites specific to this course are detailed below.

Programming experience with languages such as Python, JavaScript, or C#.
Basic understanding of Azure services and cloud computing concepts.
Basic understanding of message queuing patterns and when to use them for decoupling services.
Understanding of machine learning concepts including embeddings and similarity search.
Knowledge of caching concepts and data structures.
Familiarity with command-line tools including Azure CLI.
Familiarity with containerization and Kubernetes fundamentals.
Familiarity with JSON document structures.
Familiarity with relational databases and SQL fundamentals.
Familiarity with AI embeddings and vector similarity concepts.
Familiarity with distributed systems concepts and event-driven architectures.
Familiarity with REST APIs and asynchronous messaging patterns.
Familiarity with distributed application architectures.
Access to Azure Kubernetes Service and related tools for practical exercises.
Access to Azure Managed Redis and related tools for hands-on practice.

Meet our instructors

Meet some of the Readynez Instructors you can meet on your course. They are experts, passionate about what they do, and dedicated to give back to their industry, their field, and those who want to learn, explore, and advance in their careers.

Tiago Costa

With a long-standing reputation as a Microsoft MVP and MCT, Tiago Costa delivers LIVE training that blends expert knowledge with real-world application. His courses help professionals build hands-on cloud skills and prepare effectively for Microsoft certifications.

Meet the Instructor: Tiago Costa

At Readynez, we believe world-class training starts with world-class instructors - and Tiago Costa is a prime example.

With over 20 years of experience delivering Microsoft Cloud & AI solutions (including to Fortune 500 companies), Tiago brings a rare combination of deep technical expertise and real-world perspective to every course.

50+ Microsoft certifications.
Microsoft MVP since 2016 & Microsoft Certified Trainer since 2006. 
Speaker, architect, and trusted advisor to global enterprises.

As a dedicated community leader, an independent contractor and founder of the Azure & AI Portugal User Group, Tiago is passionate about helping others grow their careers through knowledge sharing and practical skills.

When you train with Tiago, you’re not just learning from certified professionals...
You’re learning from a global leader.

Find your next Microsoft course with Tiago Costa here.

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Wilson Tsui Sie Min

Wilson Tsui Sie Min, an experienced Azure and cloud instructor delivers LIVE IT training and certification courses at Readynez. With nearly two decades of global training and infrastructure experience, Wilson helps IT professionals prepare for Azure exams, strengthen cloud skills, and apply practical knowledge through expert-led training.

Meet Wilson Tsui Sie Min – an Azure specialist and globally experienced IT trainer in the Readynez instructor community.

Based in Kuala Lumpur, Wilson brings nearly two decades of experience across enterprise infrastructure, consulting, and international technical training. His background spans everything from system administration and networking to cloud technologies, virtualization, and modern development.

Wilson has worked as a certified trainer for major technology vendors including Microsoft, Citrix, IBM and Huawei, and has delivered training programs to IT professionals across Europe, Africa, Asia and Oceania. Over the years, he has also contributed to enterprise infrastructure projects ranging from Active Directory migrations and storage infrastructure deployments to data center transformations.

Today, Wilson specializes in Microsoft Azure, cloud infrastructure, virtualization and modern development technologies, helping professionals translate complex technical concepts into practical, real-world solutions.

Beyond training, Wilson is passionate about exploring emerging technologies such as AI, cloud computing, and software development, continuously experimenting with new tools and platforms to stay at the forefront of innovation.

Explore upcoming Azure and cloud courses with Wilson at Readynez.

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FAQ

FAQs for the Developing AI Cloud Solutions on Azure (AI-200) course.

What is Microsoft AI-200 certification?

The Microsoft AI-200 certification validates your ability to develop, deploy, integrate, monitor, and secure AI-powered cloud applications on Microsoft Azure.

Who should take the AI-200 course?

This course is designed for developers, cloud engineers, AI engineers, backend developers, and IT professionals who want to build AI applications using Microsoft Azure.

What prerequisites are required for AI-200?

Learners should have basic Azure knowledge, software development experience, and familiarity with APIs, cloud computing, and programming concepts.

Does this course include hands-on labs?

Yes. The course includes practical labs, real-world scenarios, AI integrations, deployment exercises, and cloud-native development projects.

Which Azure services are covered in this course?

The course covers Azure AI Services, Azure OpenAI, Azure Functions, Azure Kubernetes Service (AKS), Cosmos DB, Event Grid, Service Bus, Azure PostgreSQL, and more.

Is AI-200 suitable for beginners?

AI-200 is an intermediate-level course. Basic Azure and programming experience is recommended before enrolling.

What programming languages are used in the course?

Examples may include Python, C#, JavaScript, and REST APIs depending on the learning modules and labs.

Will I receive a certificate after completing the course?

Yes. Learners receive a course completion certificate, and the training prepares candidates for the Microsoft AI-200 certification exam.

What career opportunities are available after AI-200 certification?

AI-200 certification can help professionals pursue roles such as Azure AI Developer, AI Engineer, Cloud Developer, AI Solutions Architect, Backend AI Developer, and Cloud Application Engineer.

Is Azure OpenAI included in the AI-200 course?

Yes. The course includes Azure OpenAI concepts, integrations, and AI application development workflows.

Does the course cover Generative AI and RAG?

Yes. Learners explore modern AI development topics including Generative AI applications, Retrieval-Augmented Generation (RAG), embeddings, vector search, and AI orchestration patterns.

Can this course help prepare for enterprise AI projects?

Absolutely. The course focuses on enterprise-grade AI cloud architecture, observability, scalability, deployment, security, and operational best practices.

Reviews

Feedback from our Microsoft Certified Azure AI Engineer delegates.

Stephen Ridgway

Readynez is the best training provider I've used for many years. Their customer service is first class, prices are very competitive and instruction excellent.