• views: 178
• date: 4 July 2026
• posted by: voska89

Prepare for the AI-103 certification exam with a structured learning path that includes clear explanations, practical demos, quizzes, and hands-on Azure labs.
Build agentic AI solutions using Azure AI Foundry agents, tools, and workflows for real-world automation scenarios.
Design end-to-end Azure AI applications that combine models, prompts, orchestration, business logic, and enterprise data sources into usable solutions.
Create AI agents that can follow instructions, call tools, access knowledge, and support multi-step business tasks in modern Azure AI environments.
Develop practical Python applications that interact with Azure AI services, deployed models, AI projects, and agent workflows.
Work with Azure AI capabilities for language, vision, speech, and multimodal scenarios to build intelligent applications beyond basic chatbot examples.
Extract value from documents and unstructured content using OCR, document intelligence, content understanding, and information extraction pipelines.
Apply responsible AI, evaluation, monitoring, and security practices to make AI apps and agents more reliable, governable, and production-ready.

Requirements

No advanced experience is required, but a basic understanding of cloud computing concepts will be helpful.
Curiosity to explore how AI apps, intelligent agents, RAG systems, and Azure AI services are designed and implemented in practice.
Basic programming knowledge is recommended, with Python experience being an advantage.

Description

This course is built for developers preparing for theAI-103 Exam - Azure AI Apps and Agents Developer Associate and for professionals who want practical, job-ready Azure AI skills. It is aligned with the latest AI-103 exam objectives and focuses on building modern AI applications usingAzure AI Foundry,Azure AI services,MCP, andAgentic Solution.
Skills You'll Build
- Plan and manage Azure AI solutions using the right Azure services, models, security options, and deployment strategies
- Buildgenerative AI applications with prompts, model deployments, grounding techniques, and orchestration patterns
- Createagentic AI solutions using Azure AI Foundry agents, tools, knowledge sources, MCP, and workflows
- ImplementRAG solutions with Azure AI Search, embeddings, vector search, and grounded responses
- Work withAzure AI Vision, Language, Speech, and multimodal capabilities for intelligent app development
- Buildinformation extraction and document processing solutions using Azure AI services for real-world scenarios
- Applyresponsible AI, monitoring, evaluation, and security practices for production-ready AI apps and agents.
Why take this course?
This course is designed to help you go beyond theory. Through structured lessons, practical demos, quizzes, and hands-on labs, you'll build the skills needed to bothpass the AI-103 exam anddevelop real Azure AI solutions with confidence.
Whether you're aiming for certification, building enterprise AI applications, or expanding your Azure AI expertise, this course gives you a clear, modern, and implementation-focused learning path.

Who this course is for

Professionals preparing for the Microsoft Certified Azure AI Apps and Agents Developer Associate (AI-103) exam who want structured, exam-focused learning with hands-on practice.
Anyone interested in modern Azure AI development who wants hands-on exposure to real-world AI apps, Azure AI services, and practical implementation scenarios.
Developers and cloud engineers who want to build AI-powered applications, agents, and intelligent solutions using Azure AI services and Python.
AI engineers, solution architects, and technical professionals looking to gain practical experience with generative AI, RAG, prompt engineering, and agent-based applications on Azure.




   
   
   

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