COURSE PREVIEWAbout this course
Prepare for the Microsoft AI-103 certification and learn how to design, build, deploy, and manage modern AI applications and intelligent agents on Microsoft Azure.
This comprehensive course is designed for developers, AI engineers, cloud architects, and technology professionals who want to master Azure AI services and gain practical experience building enterprise-grade AI solutions. Whether you are preparing for the AI-103 exam or looking to expand your skills in Generative AI, this course provides the knowledge and hands-on experience needed to succeed.
Throughout the course, you will explore Azure AI Foundry, Azure OpenAI Service, Azure AI Search, Prompt Flow, Retrieval-Augmented Generation (RAG), vector search, and intelligent agent development. You will learn how to create AI-powered applications that can reason, retrieve information, automate workflows, and interact with users through advanced conversational experiences.
The course includes real-world demonstrations, practical labs, architecture discussions, best practices, and certification-focused content aligned with the latest Microsoft AI-103 objectives. You will also learn how to evaluate, monitor, secure, and optimize AI solutions for production environments.
By the end of this course, you will be able to:
• Build AI applications using Azure AI Foundry and Azure OpenAI.
• Develop intelligent agents with tool calling and orchestration capabilities.
• Implement RAG solutions using Azure AI Search and vector databases.
• Design secure, scalable, and responsible AI architectures.
• Evaluate and optimize AI models and applications.
• Prepare confidently for the Microsoft AI-103 certification exam.
If you want to become proficient in Azure AI development and stay ahead in the rapidly evolving world of artificial intelligence, this course is for you.
What you'll learn
- Build and deploy AI applications using Azure AI Foundry, Azure OpenAI, and Azure AI Services.
- Develop intelligent agents capable of reasoning, tool calling, and workflow automation.
- Implement Retrieval-Augmented Generation (RAG) solutions using Azure AI Search and vector databases
- Monitor, evaluate, secure, and optimize AI applications following Microsoft AI-103 best practices.
Before you begin
- Basic knowledge of cloud computing and Azure fundamentals is recommended, but all AI-103 concepts will be explained step-by-step.
- Familiarity with Python programming will be helpful for completing hands-on labs and exercises.
- An Azure subscription is recommended to practice deploying AI applications and agents.
- No prior experience with Azure AI Services or Azure OpenAI is required.
Who this is for
- Azure developers, AI engineers, cloud architects, and IT professionals preparing for the Microsoft AI-103 certification.
- Software developers who want to build generative AI applications and intelligent agents on Azure.
- Data professionals looking to implement RAG, AI automation, and enterprise AI solutions.
- Students and technology enthusiasts interested in learning modern AI application development with Microsoft Azur
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