What You'll Learn

  • Build AI applications using Azure OpenAI and AI Services
  • Work with REST APIs and SDKs for AI integration
  • Develop solution using Azure AI Foundry
  • Implement AI gents and agent workslows
  • Build intelligent search systems using Azure AI Search
  • Implement RAG (Retrieval-Augmented Generation) architectures
  • Use vector search and knowledge bases
  • Work with AI tools like code interpreter and file search
  • Design real-world AI-powered applications
  • Understand performance evaluation and responsible AI

Requirements

  • Basic knowledge of Azure fundamentals
  • Familiarity with programming (C# or Python preferred)
  • Understanding of REST APIs
  • Basic awareness of AI concepts (helpful but not mandatory)

Description

This comprehensive AI-103 course is designed to help you build real-world AI applications using Microsoft Azure AI Services, Azure OpenAI, Azure AI Foundry, RAG architectures, AI Agents, Workflows, Vision, Search, Language, and Speech services.

Instead of focusing only on certification theory, this course provides a practical, hands-on learning experience where you will work with modern AI development tools, SDKs, APIs, and enterprise AI workflows used in today’s industry.

You will begin with the fundamentals of Azure AI Services, including provisioning resources, working with REST APIs, and understanding how Azure AI solutions are built and managed.

The course then dives deep into Azure OpenAI, where you will learn:

• Working with OpenAI Models in Azure
• Azure OpenAI SDK
• Entra ID Authentication
• Model Integration in Applications

A major focus of this course is Azure AI Foundry and modern Agentic AI development. You will learn how to:

• Create and manage Foundry Projects
• Work with AI Models in Code
• Build AI Agents
• Evaluate AI Performance
• Apply Responsible AI Principles

You will also gain strong practical knowledge in Azure AI Search and Retrieval-Augmented Generation (RAG), including:

• Indexing and Search Architecture
• Search Explorer and Search Clients
• Knowledge Bases and Knowledge Sources
• Agentic Retrieval
• Vector Search and File Search

The course further covers powerful AI tools and advanced AI application development techniques such as:

• Code Interpreter Tool
• Web Search Tool
• File Processing and Vector Stores
• Function Calling
• Structured Outputs
• Custom Tool Integration

A dedicated section on AI Agents and Agent Workflows will help you build intelligent enterprise-grade AI systems using:

• Prompt Agents
• File Search Agents
• Custom Tool Agents
• Sequential Agentic Workflows
• Human-in-the-Loop Workflows
• For-Each Agent Workflows

In addition, the course includes Azure AI Language and Speech Services, where you will learn:

• NLP and Language Services
• REST API and Python SDK Integration
• MCP Server Integration
• Speech-to-Text
• Text-to-Speech

By the end of this course, you will not only be prepared for the Microsoft AI-103 certification, but you will also have the practical skills required to build scalable, production-ready AI applications using the latest Microsoft AI ecosystem and Azure AI technologies.

Who this course is for:

  • AI Engineers
  • Cloud Developers
  • Azure Developers
  • Software Engineers building AI applications
  • Professionals working on AI-powered solutions
  • Learners preparing for AI-103 or advanced AI roles
AI-103: Azure AI Apps and Agent Developer-Complete Course

Course Includes:

  • Price: FREE
  • Enrolled: 163 students
  • Language: English
  • Certificate: Yes
  • Difficulty: Beginner
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