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Microsoft Foundry A-Z Agents, RAG, Workflows & Evaluation
Published 9/2026
Created by Start-Tech Trainings, Start-Tech Academy
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 19 Lectures ( 4h 39m ) | Size: 2.5 GB
No-Code/Low-Code - Build AI Solutions Using Microsoft Foundry, RAG, Workflows, and Azure AI Services
What you'll learn
Build AI applications in Microsoft Foundry by understanding its core capabilities and Azure AI ecosystem Select appropriate AI models and configure system and custom instructions to control AI application behavior Build RAG solutions using Azure AI Search and Knowledge Bases to connect AI applications with relevant information Create structured and predictable AI outputs using JSON Schema for practical application development Design and implement AI workflows in Microsoft Foundry to orchestrate models, tools, and different application tasks Evaluate AI applications and implement guardrails to improve their quality, reliability, safety, and responsible AI behaviorRequirements
No prior experience with Microsoft Foundry is required-just a computer, an internet connection, and a willingness to learn.Description
Are you an AI Engineer, Data Scientist, Developer, Solution Architect, IT Professional, Business Analyst, or someone who wants to learn how to build AI applications using Microsoft Foundry?
Imagine discovering and deploying the right AI models, building Retrieval-Augmented Generation (RAG) applications, connecting AI systems to enterprise knowledge bases, generating structured outputs using JSON Schema, creating intelligent workflows, and evaluating AI systems for quality and safety-all from a single platform.
Microsoft Foundry is one of the most powerful platforms for building, deploying, and managing AI applications. It provides organizations with access to cutting-edge AI models, orchestration tools, knowledge integration capabilities, workflow automation, evaluation frameworks, and responsible AI guardrails. As AI adoption continues to grow across industries, professionals who understand how to use Microsoft Foundry are becoming increasingly valuable.
In this course, you will learn Microsoft Foundry from scratch through a practical, hands-on approach. You will begin by understanding the Azure ecosystem and Microsoft Foundry fundamentals before moving into model selection, system instructions, custom instructions, Retrieval-Augmented Generation (RAG), Azure AI Search, Knowledge Bases, JSON Schema, Workflows, Evaluations, and Guardrails.
What You Will Learn
Understand the Azure AI ecosystem and Microsoft Foundry platform Explore and select the right AI models for different use cases Configure System Instructions for better AI responses Create Custom Instructions to control model behavior Understand the fundamentals of Retrieval-Augmented Generation (RAG) Build RAG-based AI applications step by step Integrate Azure AI Search into RAG solutions Create and manage Knowledge Bases for AI applications Generate structured outputs using JSON Schema Implement practical JSON Schema use cases Understand workflow concepts in Microsoft Foundry Build and manage AI workflows Evaluate AI application performance and quality Measure model effectiveness using evaluation frameworks Implement Guardrails for responsible and secure AI solutions Build production-ready AI applications using Microsoft FoundryWhy This Course Is Important
Organizations are rapidly adopting Generative AI to improve productivity, automate business processes, and create intelligent applications. However, building reliable AI systems requires more than simply connecting to a language model. Modern AI applications need retrieval systems, structured outputs, orchestration workflows, evaluation mechanisms, and safety controls.
Microsoft Foundry provides an end-to-end platform for building enterprise-grade AI solutions. Companies are increasingly looking for professionals who understand how to design, deploy, evaluate, and manage AI applications using modern AI platforms.
Learning Microsoft Foundry can help you build practical AI solutions, improve your AI development skills, and prepare for real-world AI implementation projects across industries.
Whether you are developing AI copilots, knowledge assistants, customer support systems, internal productivity tools, or enterprise AI applications, Microsoft Foundry provides the capabilities needed to build scalable and reliable solutions.
What Makes This Course Unique
This course is focused on practical implementation rather than theory alone. Every concept is explained through hands-on demonstrations and real-world examples that show how AI applications are built using Microsoft Foundry.
You will learn how to select models, configure instructions, build RAG systems, connect AI Search, create Knowledge Bases, generate structured outputs using JSON Schema, build workflows, and evaluate AI solutions using industry best practices.
The course is designed in a beginner-friendly format with concepts explained in a clear and practical manner. Even if you have never worked with Microsoft Foundry before, you will be able to follow along and start building AI applications confidently.
The curriculum follows a logical progression from foundational concepts to advanced implementation topics, helping you gain both conceptual understanding and practical experience.
Start Your Microsoft Foundry Journey
AI applications are becoming a critical part of modern business operations, and organizations need professionals who can build secure, scalable, and reliable AI solutions.
In this course, you will learn how to use Microsoft Foundry to build AI applications, implement RAG architectures, integrate enterprise knowledge sources, create structured AI outputs, orchestrate workflows, evaluate performance, and apply responsible AI guardrails.
If you want to develop in-demand AI skills, build practical AI solutions, and learn how to use Microsoft Foundry effectively, enroll now and start your Microsoft Foundry journey today.
Who this course is for
AI Developers and Software Developers who want to learn how to build AI applications using Microsoft Foundry. AI Engineers and Machine Learning Professionals who want to work with AI models, RAG, evaluation, workflows, and guardrails. Azure Developers and Cloud Professionals who want to expand their skills into Generative AI and Microsoft Foundry. Data Scientists and Data Engineers who want to build AI solutions that can work with enterprise data and knowledge sources. Professionals exploring Generative AI who want hands-on experience with RAG, Azure AI Search, Knowledge Bases, JSON Schema, workflows, evaluation, and guardrails. Students and AI enthusiasts who have a basic understanding of AI concepts and want to develop practical Microsoft Foundry skills for real-world applications.Homepage
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