AI-103: Develop AI Apps and Agents on Azure
Build production-ready generative AI apps and intelligent agents on Azure using Microsoft Foundry, the Azure AI SDK, and multi-agent orchestration.
What's New in 2026
AI-103 is the successor to the retiring AI-102 exam (retired June 30, 2026). It reflects the full shift to agentic AI, Microsoft Foundry, and multi-agent orchestration. This is the current Microsoft AI developer certification — the credential to hold if you build AI solutions on Azure.
Course Overview
This is a Microsoft Standard Course conducted by Microsoft Certified Trainers (MCT)using the official Microsoft curriculum. The AI-103 course is Microsoft's latest AI developer certification training, replacing AI-102 which retired in June 2026. It prepares software engineers to build, deploy, and manage generative AI applications and intelligent agents using Microsoft Foundry — Microsoft's unified platform for AI development.
You will learn to create generative AI apps, build AI agents with multi-step reasoning, implement knowledge retrieval and tool connections, and handle multimodal content including vision and document understanding. This course is designed for developers already familiar with Python and REST APIs who are ready to build production-grade agentic AI solutions on Azure.
What You Will Learn:
- • Plan and manage AI resources in Microsoft Foundry
- • Build generative AI apps with the Azure AI Foundry SDK
- • Develop AI agents with multi-step reasoning
- • Implement knowledge retrieval and tool connections
- • Build multi-agent orchestration patterns
- • Process multimodal content: images, documents, audio
- • Apply responsible AI, monitoring, and evaluation
- • Deploy AI solutions with security and governance
Perfect For:
- • Software developers building AI solutions
- • AI/ML engineers moving to agentic AI
- • Solution architects designing AI platforms
- • Data scientists moving to AI engineering
- • AI-102 holders upgrading to the current credential
Training Details
Training Format:
- Live Online Training by AI-specialized MCT
- Individual Microsoft Lab Environment Access
- Real Agentic AI Application Development
- 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 (or C#)
- • Understanding of REST APIs and JSON
- • Basic knowledge of Azure services
- • Familiarity with generative AI concepts
Recommended Foundation:
Complete AI-900 (Azure AI Fundamentals) first if you're new to AI conceptsCourse Curriculum (4 Days Hands-on AI & Agent Development)
Module 1: Plan and Manage AI Resources in Microsoft Foundry
- Set up and configure Microsoft Foundry environments
- Deploy and manage AI models from the Foundry catalog
- Configure security, networking, and cost management
- Govern AI resources with policies and role-based access
Module 2: Build Generative AI Applications with the Azure AI Foundry SDK
- Create generative AI apps using the Azure AI Foundry SDK
- Implement prompt engineering and prompt flow techniques
- Add safety filters and content moderation to AI apps
- Evaluate model and app performance with built-in tooling
Module 3: Develop AI Agents with Multi-Step Reasoning
- Build AI agents using Microsoft Foundry Agent Service
- Implement multi-step reasoning and workflow automation
- Connect agents to tools, APIs, and function calls
- Orchestrate multi-agent patterns for complex workflows
Module 4: Implement Knowledge Retrieval and Tool Connections
- Ground agents with enterprise data using retrieval augmented generation (RAG)
- Integrate search indexes and vector stores
- Connect structured and unstructured data sources
- Implement citation and traceability in agent responses
Module 5: Process Multimodal Content
- Analyze images and visual content in AI apps
- Extract and understand documents with multimodal models
- Work with audio and speech in agentic applications
- Combine modalities in a single agent workflow
Module 6: Deploy, Monitor, and Govern AI Solutions
- Apply responsible AI practices and evaluation in production
- Monitor AI apps and agents with tracing and observability
- Implement security, guardrails, and governance on Azure
- Optimize performance, cost, and reliability of AI solutions
AI Career Path & Related Certifications
Build your AI expertise progressively with these Microsoft certifications:
Quick Information
AI-103 Exam Details:
• Exam AI-103: Developing AI Apps and Agents on Azure
• Passing score: 700/1000
• Duration: 120 minutes
• Format: Scenario-based multiple choice & interactive components
• Certification: Microsoft Certified: Azure AI Apps and Agents Developer Associate
Pricing
AED 6,955
AED · per participant
Group & early-bird discounts available — ask on WhatsApp
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