Free Download AI-103 Azure AI Engineer Apps, Agents & Solutions 2026Published 4/2026
MP4 |
Video: h264, 1920x1080 |
Audio: AAC, 44.1 KHz, 2 Ch
Language: English |
Duration: 11h 7m |
Size: 7 GB
Build AI apps using Azure OpenAI, AI Search, RAG, Agents, and Foundry with real-world development workflows
Build AI applications using Azure OpenAI and AI services
Work with REST APIs and SDKs for AI integration
Develop solutions using Azure AI Foundry
Implement AI agents and agent workflows
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
RequirementsBasic knowledge of Azure fundamentals
Familiarity with programming (C# or Python preferred)
Understanding of REST APIs
Basic awareness of AI concepts (helpful but not mandatory)
DescriptionThis course is designed for developers and AI engineers who want to build intelligent applications and AI agents using Microsoft Azure AI services. It aligns with the AI-103: Develop AI Apps and Agents on Azure learning path and focuses on real-world implementation.
Modern applications are evolving beyond traditional software by integrating AI models, intelligent search, and agent-based architectures. In this course, you will learn how to design and develop AI-powered solutions using services such as Azure OpenAI, Azure AI Search, and Azure AI Foundry.
You will begin with the fundamentals of Azure AI services, including provisioning resources and working with REST APIs and SDKs. The course then moves into OpenAI models, where you will learn how to authenticate, execute prompts, and integrate AI into applications.
A major focus of this course is Azure AI Foundry, where you will build AI projects, deploy models, and work with agent-based systems. You will also implement knowledge mining and search solutions using Azure AI Search, including indexing, query design, and custom skillsets.
The course introduces modern AI patterns such as Retrieval-Augmented Generation (RAG) and agent-based workflows, along with practical tools like code interpreter, vector search, and file-based AI interactions.
By the end of this course, you will be able to develop production-ready AI applications and agents on Azure, making it highly relevant for enterprise environments and Udemy Business learners.
Who this course is forAI 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
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