
Explore what agents are and how to build, deploy, and scale them with Microsoft Foundry Agent Service using prompt, workflow, and hosted agents to autonomously reason with LLMs and tools.
Explore Azure AI language service basics, including pre-built text capabilities like language detection, named entity extraction, sentiment, summarization, and PII, plus fine-tuning for custom tasks and programmatic usage.
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.