Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
22 Hour(s) 13 Minute(s)
Language
English
Taught by
Kuljot Singh Bakshi
Rating
Course Overview
Work with Azure AI Foundry, Azure OpenAI, RAG, Build multi-agentic systems with Semantic Kernel SDK, Azure AI Agents
Are you ready to harness the power of Azure AI Agent Service to build intelligent, scalable, and efficient AI-driven solutions? This comprehensive Udemy course is designed to take you from the fundamentals to advanced implementation, enabling you to develop AI agents that automate tasks, enhance decision-making, and integrate seamlessly into business workflows.
What You Will Learn
Introduction to Azure AI Agent Service – Understand the core capabilities and architecture of Azure’s AI Agent Service.
Building AI-Powered Agents – Learn how to design, develop, and deploy AI agents for various use cases.
Integration with Azure AI Services – Leverage services like Azure OpenAI, Cognitive Services, and Machine Learning for enhanced AI capabilities.
Agent Orchestration & Automation – Implement AI-driven workflows using Azure AI Studio and orchestration tools.
Conversational AI & NLP – Develop AI agents with natural language understanding and conversational capabilities.
Security, Compliance & Best Practices – Ensure your AI agents meet security standards and ethical AI principles.
Real-World Use Cases – Work on hands-on projects for customer support, business automation, and intelligent decision-making.
Why Take This Course?
Azure AI Agent Service is revolutionizing AI application development by providing a powerful, scalable platform for creating intelligent agents. Whether you're a developer, data scientist, or IT professional, this course will give you the expertise to leverage Azure AI Agent Service effectively.
By the end of this course, you will have the knowledge and hands-on experience to deploy AI agents that automate workflows, enhance user interactions, and integrate AI into enterprise solutions.
Who This Course is For
Developers looking to integrate AI-powered agents into applications.
AI & ML engineers who want to leverage Azure AI for automation.
IT professionals and solution architects exploring AI-driven automation.
Business professionals and entrepreneurs interested in AI applications.
Prerequisites
Basic understanding of cloud computing and Azure services.
Some experience with Python programming languages is helpful.
Enthusiasm to explore AI-driven automation!
Join this course today and start building intelligent AI agents with Azure AI Agent Service!
Course Content
- 21 section(s)
- 116 lecture(s)
- Section 1 Introduction
- Section 2 Join the Discord Server!
- Section 3 GenAI Primer (GA-101)
- Section 4 Introduction to Azure AI Foundry
- Section 5 Introduction to Azure AI Agents (AAI-101)
- Section 6 Building a Bing WebSearcher Agent
- Section 7 Building an Agent with Function Calling
- Section 8 Building an Agent with OpenAPI specified Tools
- Section 9 Building a RAG Agent
- Section 10 Building a Code Interpreter Agent
- Section 11 Multiple Tools With a Single Agent
- Section 12 Model Context Protocol (MCP)
- Section 13 Working with the Semantic Kernel SDK (Multi-Agentic Systems)
- Section 14 Semantic Kernel Agent Framework
- Section 15 Microsoft Agent Framework with Microsoft Foundry
- Section 16 AI Foundry Local: Local LLMs for the Win!
- Section 17 Evaluating Our Agent
- Section 18 Azure Virtual Networking: Securing our AI Agent
- Section 19 Azure AI Content Understanding - Multi-Modal RAG
- Section 20 Capstone Project 1: Building a Search Engine with Vector Embeddings
- Section 21 Capstone Project 2: Building a Video Generation Multi-Agent System
What You’ll Learn
- Build Agents with Azure AI Agent Service, Learn About Azure OpenAI and GenAI, Learn About Azure AI Foundry, Work with Azure AI Foundry SDK
Skills covered in this course
Reviews
-
EEmad El Din Hosni
Very good
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AAlexander Szarka
great course!
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JJoel Weinfeld
I noticed a minor error on section 113 coffee lowest price on details showed 22.89 instead of 2.89 You could shorten the course by 1-2 hours by having a section on env vars and not doing it on every lab by just adding new settings
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AAravind Sridharan
It was a great course that helped me understand the capabilities of Azure AI Foundry. The hands-on labs were useful in reinforcing all these concepts. I look forward to other courses kuljot will come out with in the future.
