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AI-103 Azure AI Complete: Agents, RAG & MCP - 30 Yrs Exp...
Rating: 4.5 out of 5(69 ratings)
667 students

AI-103 Azure AI Complete: Agents, RAG & MCP - 30 Yrs Exp...

Build real Azure AI agents using Foundry, RAG, MCP & Microsoft Agent Framework — from an instructor who trained 500,000+
Created bySandeep Soni
Last updated 6/2026
English
English [Auto],

What you'll learn

  • Build production-ready AI applications on Azure using OpenAI models, AI Foundry, Language, Speech, and Vision services
  • Architect and deploy AI Agents — Prompt, File Search, and Custom Tool — with real Python and C# code
  • Implement complete RAG pipelines from scratch: vectorization, Azure AI Search, agentic retrieval, and knowledge bases
  • Create enterprise-grade AI workflows — Sequential, Human-in-the-Loop, and For-Each — that automate real business tasks
  • Get Started with Microsoft Agent Framework (MAF): Providers, provider-agnostic architecture, and multi-tool integration
  • Integrate MCP (Model Context Protocol) servers into live agents — a 2026 skill that sets you apart in the job market
  • Use every major AI Tool: Function Calling, Code Interpreter, Web Search, and File Search with Vector Stores
  • Program Azure AI Language and Speech: NLP, sentiment analysis, STT/TTS, SSML, and cross-language speech translation
  • Evaluate AI model performance, apply Responsible AI principles, and deploy with enterprise-grade confidence
  • Pass the Microsoft AI-103 certification exam with genuine skills — not memorized answers

Course content

12 sections72 lectures21h 40m total length
  • Azure AI Introduction13:46
  • Azure AI Services17:00
  • Provisioning AI Services24:21
  • AI Services RESTFul API19:35

Requirements

  • An Azure subscription — the free tier gets you through most labs, and we show you exactly what you need from day one
  • Basic familiarity with the Azure portal and cloud concepts
  • Experience with Python or C#
  • A developer mindset: ready to engage with real code, real architecture, and real Azure services from the start

Description

The AI-103 certification is Microsoft's way of saying: you can actually build this.

This is the most complete hands-on AI-103 course on Udemy — built by an instructor with 30 years of corporate training experience, 20+ Microsoft certifications, and a career record of training over 500,000 IT professionals at enterprises across the USA, UK, Australia, and the Middle East.

Every lecture is designed the way enterprise training should be: clear first principles, live code, real Azure environments — and explanations that make complex things genuinely stick.

Most AI-103 courses hand you slides. This course hands you architecture plus working code — so you don't just know what Azure AI services are, you know how to wire them together the way a production team actually does it.

You will go deep on every major exam domain:

Azure AI Foundry Microsoft's unified AI development platform. You'll provision AI Hub resources, create Foundry Projects, deploy GPT models, use the playground, build and interact with agents, evaluate model performance, and apply Responsible AI principles — inside a real environment, not a simulation.

Retrieval-Augmented Generation (RAG) Built from first principles. You'll implement vectorization, semantic search, agentic retrieval, and query knowledge bases step by step in code — so you understand the why behind every design decision, not just the what.

AI Agents and Agentic Workflows The heart of the AI-103 exam and the future of enterprise automation. You'll build Prompt Agents, File Search Agents, and Custom Tool Agents — then orchestrate them into Sequential Workflows, Human-in-the-Loop Workflows, and For-Each Workflows that solve real business problems.

Microsoft Agent Framework (MAF) Covered with the architectural clarity that official documentation alone cannot give you. You'll understand what Providers are, how the provider-agnostic design works, and how to integrate custom enterprise tools at the framework level.

MCP (Model Context Protocol) You'll connect MCP servers to live agents using the Azure AI Language MCP Server — a hands-on capability that very few courses even attempt to cover, and one that the 2026 job market is starting to demand.

AI Tools — All of Them Code Interpreter, Web Search, File Search with Vector Stores, single function calling, multiple function calling, calling the same function multiple times — all written in code, all clearly explained, all yours to reuse.

Azure AI Language and Speech Named entity recognition, sentiment analysis, key phrase extraction, language detection, REST API + Python SDK integration, Speech-to-Text, Text-to-Speech, SSML markup, and cross-language speech-to-speech translation. Thorough coverage that goes far beyond the basics.

Vision and Content Understanding Vision-enabled generative AI applications, image generation, content analysis on images, and document analysis — the multimodal skills that modern enterprise AI development requires.

Why learn from Sandeep Soni?

Sandeep has been delivering corporate technology training since before Azure existed. His philosophy is decision training, not tool training — you won't just be shown where to click. You'll be shown why the architecture works the way it does, so you can make intelligent decisions when real problems appear at work.

30+ years of teaching. 20+ Microsoft certifications. Clients across four continents. And a genuine commitment to making sure every student walks away with understanding, not just completion certificates.

This is what it looks like when experience meets passion.

What you'll be able to do when you finish

By the end of 19 hours of structured, hands-on instruction, you will be able to design and build Azure AI applications from scratch, architect multi-agent systems using Microsoft Agent Framework, implement RAG pipelines with agentic retrieval, and walk into your AI-103 exam knowing you have built — not just read about — the things the exam describes.

Enroll today. The AI-103 certification window is now, and this is the course designed to get you there with skills that outlast the exam.

Who this course is for:

  • Developers preparing for the Microsoft AI-103 certification who want real skills — not just enough to pass and forget
  • Azure developers and cloud engineers moving into AI and agentic application development in 2026
  • Software engineers who want to build production-ready AI agents, RAG systems, and intelligent workflows
  • Technology professionals transitioning from AI-102 (Azure AI Engineer) to the AI-103 certification era
  • IT leads and architects who need to understand Microsoft Agent Framework and MCP at an architectural level
  • Learners who prefer structured, instructor-led training from an experienced educator over documentation-only self-study