Why Learn Microsoft Foundry Essentials for RAG & AI Agents

Organizations are increasingly adopting AI-powered solutions that require more than simply accessing a foundation model. Modern AI applications often combine retrieval systems, custom model adaptation, agent-based workflows, and scalable deployment architectures.

This course helps learners understand how these components work together within the Microsoft ecosystem. It provides practical exposure to Microsoft’s latest AI development tools and demonstrates how to move from experimentation to real-world implementation.

Whether you are building enterprise chatbots, knowledge assistants, AI copilots, or intelligent automation solutions, this course provides the foundational skills needed to design and deploy modern AI applications.

Microsoft Foundry Essentials Course Modules: RAG, Fine-Tuning & AI Agents

Module 1: Microsoft Foundry Portal and AI Model Fine-Tuning
Explore the Microsoft Foundry environment and learn how modern AI applications are built using foundation models, RAG architectures, and model customization techniques.
Module 2: Fine-Tuned Model Deployment and Testing in Azure ML
Learn how customized AI models are evaluated, deployed, and managed using Azure Machine Learning services.
Module 3: Microsoft Foundry Projects, AI Agents, and SDK Integration
Build intelligent AI agents and integrate them into applications using Microsoft Foundry services and SDKs.

Recommended Skills for Microsoft Foundry Essentials Course

To get the most from this course, learners should have:

Basic understanding of cloud computing concepts
Familiarity with AI and machine learning fundamentals
Introductory knowledge of Microsoft Azure services
Basic programming knowledge is helpful but not mandatory

Prerequisites for Microsoft Foundry Essentials: RAG & AI Agents

There are no strict prerequisites for this course. However, prior exposure to:

Generative AI concepts
Azure fundamentals
REST APIs or application development concepts

Hands-On Labs: Microsoft Foundry, RAG & AI Agents

Throughout the course, learners will observe practical demonstrations that showcase:

Microsoft Foundry Portal navigation
RAG solution design concepts
Model fine-tuning workflows
Azure AI Search configuration
Azure ML deployment processes
AI Agent creation and testing
SDK integration scenarios
End-to-end AI application workflows

These demonstrations help learners connect theoretical concepts with practical implementation approaches used in real-world AI projects.

What You Will Learn in Microsoft Foundry Essentials: RAG & AI Agents

By completing this course, you will be able to:

Navigate and work within the Microsoft Foundry Portal.
Understand the architecture and use cases of Retrieval-Augmented Generation (RAG).
Compare RAG and fine-tuning approaches and identify appropriate implementation scenarios.
Create playground environments for testing and evaluating AI models.
Fine-tune foundation models using Microsoft Foundry.
Evaluate and validate fine-tuned model performance.
Deploy and manage fine-tuned models using Azure Machine Learning.
Build and configure Azure AI Search indexes for retrieval-based AI applications.
Create and test AI Agents using Microsoft Foundry Agent Service.
Integrate AI agents into applications using Microsoft Foundry SDKs.
Understand end-to-end AI application development workflows within the Microsoft AI ecosystem.

Who Should Learn Microsoft Foundry Essentials: RAG & AI Agents

This course is ideal for:

AI Engineers
Cloud Engineers
Azure Developers
Software Developers
Solution Architects
Data Professionals
Technical Consultants
Generative AI Practitioners
IT Professionals exploring Agentic AI solutions

Career Opportunities After Microsoft Foundry Essentials Course

After completing this course, learners can apply their skills in roles such as:

AI Engineer
Generative AI Developer
Azure AI Engineer
AI Application Developer
Cloud Solutions Engineer
Intelligent Automation Developer
AI Solutions Architect
Agentic AI Developer

Key Benefits of Microsoft Foundry Essentials: RAG & AI Agents

Learn Microsoft’s modern AI development ecosystem.
Understand practical applications of RAG and fine-tuning.
Explore AI Agent development workflows.
Gain exposure to Azure AI Search and Azure ML services.
Follow an end-to-end AI application lifecycle.
Build knowledge aligned with emerging enterprise AI adoption trends.

Skills You Gain in Microsoft Foundry Essentials: RAG & AI Agents

Azure Machine Learning
Generative AI Development
RAG & AI Model Fine-Tuning
Microsoft Foundry
Azure AI Search
Agentic AI
AI Agent Development
Prompt Engineering Fundamentals
Model Evaluation & AI Application Deployment
SDK Integration & Enterprise AI Architecture