Microsoft Foundry Essentials: RAG, Fine-Tuning and AI Agents

О курсе

The Microsoft Foundry Essentials: RAG, Fine-Tuning, and AI Agents course is designed for AI developers, machine learning engineers, software developers, data professionals, and cloud practitioners who want to build practical skills in developing, customizing, and deploying generative AI applications using Microsoft Foundry and Azure Machine Learning. This course introduces learners to the end-to-end lifecycle of foundation model customization, Retrieval-Augmented Generation (RAG), and AI agent development using Microsoft Foundry. You will explore how to prepare datasets, fine-tune foundation models, evaluate model performance, deploy models to managed endpoints, and validate deployments in Azure Machine Learning. You’ll also learn how Microsoft Foundry simplifies generative AI development through its unified portal, model catalog, playgrounds, evaluation capabilities, governance features, and model optimization workflows. The course covers Retrieval-Augmented Generation (RAG), application design strategies, and the process of creating and testing customized AI models using Microsoft Foundry. Finally, you’ll explore Microsoft Foundry projects, hubs, Azure AI Search integration, Agent Service, and the Microsoft Foundry SDK to build, test, and integrate AI agents into real-world applications. Through a combination of conceptual explanations, guided demonstrations, and hands-on implementation, you’ll gain practical experience building production-ready AI solutions using Microsoft’s AI development platform. The course delivers approximately 5+ hours of structured video content, organized into three modules. Each module includes quizzes and knowledge checks to reinforce learning and validate understanding. Enroll in this course to build a strong foundation in Retrieval-Augmented Generation (RAG), model fine-tuning, and AI agent development, and confidently create intelligent applications using Microsoft Foundry and Azure Machine Learning. Course Modules: Module 1: Fine-Tuned Model Deployment and Testing in Azure ML Module 2: Microsoft Foundry Portal and AI Model Fine-Tuning Module 3: Microsoft Foundry Projects, Agents, and SDK Integration By the End of This Course, You Will Be Able To: - Understand the end-to-end lifecycle of foundation model fine-tuning. - Prepare datasets for model customization in Azure Machine Learning. - Deploy, evaluate, and validate fine-tuned foundation models. - Navigate Microsoft Foundry Portal and use the Model Catalog effectively. - Build Retrieval-Augmented Generation (RAG) solutions using Microsoft Foundry. - Compare fine-tuning and RAG strategies for different AI application scenarios. - Configure projects, hubs, quotas, and resources within Microsoft Foundry. - Integrate Azure AI Search into generative AI applications. - Create, test, and deploy AI agents using Microsoft Foundry Agent Service. - Build and integrate AI-powered applications using the Microsoft Foundry SDK.

Навыки, которые вы освоите

Учитесь у экспертов

Whizlabs Instructor

Преподаватель курса