AI-200: Azure AI Cloud Developer Associate
Build the cloud back end behind AI apps on Azure: containers, AI-ready data services, events, messaging and serverless APIs.
About AI-200
AI-200 is an associate-level exam for developers who build and run the back end of AI solutions on Azure. It focuses on hosting, data, integration, security and monitoring rather than on the models themselves. Check the latest exam objectives on Microsoft Learn.
Course Overview
This is a Microsoft Standard Course conducted by Microsoft Certified Trainers (MCT) using the official Microsoft curriculum.
This course is led by a Microsoft Certified Trainer (MCT) and follows the official skills measured for Exam AI-200. It prepares developers to host, connect and operate the services that AI applications depend on.
You will work with containers, Azure data services that support vector search, event- and message-driven designs and Azure Functions, then secure and monitor what you build.
What You Will Learn:
- • Host applications in containers on Azure
- • Run container-orchestrated workloads
- • Build AI data layers with Azure Cosmos DB for NoSQL
- • Use Azure Database for PostgreSQL with vector search
- • Add Azure Managed Redis for caching and vector scenarios
- • Build event- and message-based AI workflows
- • Develop and deploy Azure Functions
- • Secure, monitor and troubleshoot Azure solutions
Perfect For:
- • Back-end and cloud developers adding AI to applications
- • Python developers moving into Azure
- • Azure developers updating their skills for AI workloads
- • Developers working alongside AI engineers
- • Platform engineers supporting AI services
Training Details
Training Format:
- Live instructor-led training by a Microsoft Certified Trainer
- Online or on-site delivery
- Hands-on labs throughout the course
- Small Cohort · Personalised Attention
What's Included:
- Official Microsoft Courseware & Slides
- Microsoft Digital Achievement Badge
- Exam Preparation Support & Tips
- WhatsApp Community & Post-training Support
Prerequisites & Recommendations
Technical Prerequisites:
- • Programming experience in Python
- • Understanding of REST APIs and JSON
- • Familiarity with Azure services and the Azure CLI
- • Basic understanding of containers
Recommended Foundation:
Course Curriculum (5 days Hands-on Training)
Module 1: Containerised Solutions on Azure
- Package applications as container images and use registries
- Host containers on Azure container services
- Run orchestrated workloads, including Kubernetes
- Scale and configure hosting for AI services
Module 2: AI Data with Azure Cosmos DB for NoSQL
- Model and query data for AI applications
- Store and search vector embeddings
- Read and write data with the SDKs
- Design for performance and cost
Module 3: PostgreSQL and Redis for AI Workloads
- Use Azure Database for PostgreSQL with vector extensions
- Run similarity and hybrid search queries
- Use Azure Managed Redis for caching and session state
- Apply Redis to vector search and streaming
Module 4: Event- and Message-Based AI Solutions
- Choose between events and messages
- Build with Azure eventing and messaging services
- Decouple AI processing steps
- Handle retries and failures safely
Module 5: Azure Functions and Service Integration
- Build serverless APIs
- Use triggers and bindings
- Call AI and data services from functions
- Connect services with Azure SDKs
Module 6: Secure, Monitor and Troubleshoot
- Use managed identities and Azure Key Vault
- Secure APIs and network access
- Monitor applications with Azure Monitor and Application Insights
- Diagnose and fix common issues
AI Career Path & Related Certifications
Build your AI expertise progressively with these Microsoft certifications:
Frequently Asked Questions
How is AI-200 different from AI-103?
AI-103 focuses on building AI apps and agents with Microsoft Foundry. AI-200 focuses on the cloud back end those apps run on: containers, data services, messaging, serverless functions, security and monitoring.
Do I need AI-901 first?
It is not required, but AI-901 is a helpful starting point if you are new to AI on Azure.
Which programming language is used?
Labs use Python together with the Azure SDKs and the Azure CLI.
How is the training delivered?
Live and instructor-led by a Microsoft Certified Trainer (MCT), online or on-site, with hands-on labs throughout. You can ask questions in real time and get post-training support on WhatsApp.
When is the next batch?
Contact us on WhatsApp for upcoming dates. We share current batch options, group pricing and on-site availability for your team.
Quick Information
AI-200 Exam Details:
• Exam AI-200: Developing AI Cloud Solutions on Azure
• Passing score: 700
• Certification: Microsoft Certified: Azure AI Cloud Developer Associate
• Check the latest exam objectives on Microsoft Learn.
Pricing
AED 8,425
AED · per participant
Group & early-bird discounts available — ask on WhatsApp
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