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UdemyBestseller on UdemySoftware DevelopmentPaid courseIntermediate levelCertificate

Generative AI for .NET Developers with Microsoft Foundry (Udemy.com)

Build .NET AI apps with Microsoft Foundry, Azure OpenAI, RAG, agents, Microsoft Extensions AI, and deployment

4.3
1,009 reviews

Created by: Trevoir Williams

Last updated September 2026

Our take

Based on the ratings of 1,009 students, a sample of their written reviews and the syllabus, as the course stood in September 2026. No course pays to be reviewed.

Trevoir Williams' course teaches .NET developers to build generative AI apps in C# with Microsoft Foundry, Azure OpenAI, Azure AI Search and the Microsoft AI Extensions library. It runs 12.8 hours across 165 lectures and 17 sections, and it is mid-rebuild. The newer sections cover structured outputs, multimodal features and knowledge grounding. Roughly half the runtime is older material marked OLD, covering ML.NET, Cognitive Services and Azure ML. The last update was in September 2026.

Most of the 1,009 reviews are positive, with 484 five-star and 395 four-star ratings. Reviewers like the clear, step by step explanations and call it a friendly way into AI for people already working in .NET and Azure. The complaints are consistent, though. The low-star reviews describe lots of slides and theory, basic hands-on coding, and material that feels too entry level for experienced developers. One four-star reviewer wanted more complex examples that combine ML predictions with LLMs.

Despite the Intermediate label, the reviews suggest it works best as a beginner-friendly orientation rather than a deep build guide. It has five quizzes and no coding exercises. The requirements ask for basic C# and ASP.NET Core, and an Azure subscription is recommended for hands-on practice. Developers who already know Azure OpenAI may find it basic, as several low-star reviewers did. For someone new to AI on Azure it is a reasonable starting point, and the VibeCast project sections are the part to prioritize.

Best forC# developers new to AI who want a gentle, Azure-flavored introduction to Foundry, RAG and agents.
Skip it ifYou want a deep, code-heavy build of production RAG and agents, or already know Azure OpenAI well.

Pros

  • Reviewers find the explanations clear and easy to follow, step by step
  • A gentle first step into AI for people already working in C# and Azure
  • Newer sections cover Foundry, structured outputs, RAG and multimodal work
  • Rated 4.3 from 1,009 reviews, with 879 of them four or five stars

Cons

  • Low-star reviews call it slide-heavy and theory-heavy, with little hands-on coding
  • About half the runtime is older material marked OLD, including ML.NET and Azure ML
  • No coding exercises, and some reviewers found it too basic for experienced developers
Thank you, Trevor! This was the perfect introduction to AI within the Microsoft Azure environment.
David St-Onge, a student

Labeled Intermediate, but the reviews read more like beginner to lower intermediate for C# developers new to AI.

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What you will learn

  • Build production-ready generative AI applications with .NET 10, C#, ASP.NET Core, and Microsoft Foundry.
  • Use with IChatClient and IEmbeddingGenerator to create provider-flexible AI application services.
  • Connect .NET applications to Azure OpenAI-compatible model deployments using secure configuration and Azure identity patterns.
  • Design prompt assets as versioned application resources instead of hardcoded strings.
  • Generate schema-constrained structured outputs and validate them with C# records and domain rules.
  • Build Retrieval-Augmented Generation workflows using Azure AI Search, embeddings, vector indexes, hybrid search, semantic ranking, and citations.
  • Understand classic RAG, agentic retrieval, and Foundry IQ-style knowledge grounding patterns.
  • Build tool-using AI workflows with typed C# functions, authorization checks, approval gates, and safe execution boundaries.
  • Understand when to use deterministic C# code, model calls, workflows, or AI agents.
  • Build multimodal workflows for text, image, vision, speech, audio, and content extraction scenarios.
  • Secure generative AI applications against prompt injection, data leakage, unsafe tool calls, and malicious documents.
  • Evaluate, monitor, trace, containerize, and deploy .NET AI applications using OpenTelemetry, Application Insights, GitHub Actions, and Azure hosting options.

Course content

17 sections · 165 lectures · 13 hours of video 5 quizzes, 13 articles

  1. 1Introduction 1 free preview3 lectures · 9 min
  2. 2Enterprise AI Foundations for Developers8 lectures · 26 min
  3. 3Microsoft Foundry Architecture and Model Strategy8 lectures · 26 min
  4. 4Foundations of Generative AI Development With .NET12 lectures · 53 min
  5. 5Prompt Engineering, Structured Outputs, and Typed C# Tools17 lectures · 1.7 hours
  6. 6Build Multimodal AI Features with Microsoft Foundry21 lectures · 2.4 hours
  7. 7Build Knowledge-Grounded Content Generation with Foundry IQ and Azure AI Search7 lectures · 35 min
  8. 8Upcoming Sections1 lecture · 3 min
  9. 9Machine Learning Basics - OLD 1 free preview6 lectures · 15 min
  10. 10Introduction to ML.NET - OLD 2 free previews13 lectures · 43 min

Who it is for

The instructor says it suits

  • .NET developers who want to build real generative AI applications with C#, ASP.NET Core, and Azure.
  • Enterprise software developers who need practical patterns for RAG, agents, security, evaluation, and deployment.
  • Azure developers moving from basic Azure OpenAI demos to Microsoft Foundry-based application architecture.
  • AI engineers and cloud developers who want a .NET implementation path for Microsoft’s modern AI platform.
  • Developers preparing for AI-103-style skills who want practical .NET reinforcement rather than pure exam prep.
  • Technical leads and architects evaluating how to introduce generative AI into production .NET systems.

What you need before you start

  • Basic C# knowledge.
  • Basic ASP.NET Core or Web API familiarity.
  • Basic Azure familiarity is helpful but not required.
  • No machine learning or data science background required.
  • An Azure subscription is recommended for full hands-on practice.
  • Visual Studio, Visual Studio Code, or another .NET-capable IDE.

How it compares

Against the other 518 rated Udemy courses in Software Development on CourseDuck:

  • Rating4.3 out of 5higher than 17% of them
  • Reviews1,009#135 of 519 by number of reviews
  • Length12.8 hourslonger than 76% of them
  • Last updatedSeptember 2026more recently than 96% of them

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Course Description

This course is being rebuilt for the Microsoft Foundry era. It is currently being modernized to align with Microsoft Foundry, the native Microsoft AI Extensions library, Azure AI Search, RAG, agents, evaluation, security, observability, and production deployment. New lectures are being added while older Azure AI Studio, Azure ML, and legacy Azure AI Services content is being reviewed, replaced, or moved into optional refresher sections.

Generative AI development on Azure has changed significantly. Modern .NET developers now need more than basic prompt demos or simple Azure OpenAI calls. Professional AI applications require secure model access, structured outputs, Retrieval-Augmented Generation, vector search, tool calling, agents, evaluation, observability, and production deployment practices.

This course teaches .NET developers how to build production-minded generative AI applications using Microsoft Foundry, Azure OpenAI-compatible models, Azure AI Search, Microsoft AI Extensions, RAG, agents, security, evaluation, and deployment.

The main project is VibeCast, an enterprise-style multimodal AI application. Through the project, you will build practical workflows for content generation, structured summaries, image and audio processing, document grounding, tool calling, agentic orchestration, security controls, monitoring, and deployment.

This is not a generic AI theory course and not a pure certification cram course. It is a practical engineering course for developers who want to build real AI-enabled applications with C# and .NET.

You will learn how to:

  • Build modern .NET AI applications using Microsoft Foundry and Azure OpenAI-compatible model deployments.

  • Use IChatClient, and IEmbeddingGenerator to keep your code testable and provider-flexible.

  • Design prompt assets, structured outputs, C# records, validation flows, and bounded response repair.

  • Build professional RAG workflows with Azure AI Search, embeddings, vector indexes, hybrid search, semantic ranking, citations, and grounded response contracts.

  • Understand classic RAG, agentic retrieval, and Foundry IQ-style knowledge grounding.

  • Build typed tools and agent workflows with safe execution boundaries.

  • Secure AI applications against prompt injection, indirect prompt injection, data leakage, and unsafe tool execution.

  • Add evaluation datasets, red-team tests, OpenTelemetry traces, token/cost monitoring, and production dashboards.

  • Containerize and deploy .NET AI applications using Azure-ready architecture patterns.
Read More Intermediate Intermediate Level product length iconTime: 12.8h

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Instructor Details

Trevoir Williams

Trevoir Williams is a software and systems engineer, author, instructor, and technical educator specializing in .NET, Azure, SQL Server, microservices, DevOps, secure coding, and AI-powered application development. He holds a master’s degree in Computer Science with a focus on Software Development and has earned multiple Microsoft Azure certifications.

As an author and instructor, Trevoir focuses on practical, production-ready software development. He is the author of Microservices Design Patterns in .NET and Effective .NET Memory Management, and a contributor to the Azure Integration Guide for Business. His work helps developers understand modern architecture, data access, messaging, observability, security, cloud deployment, performance, and AI integration with real implementation context.

Trevoir has taught more than 500,000 learners through online courses on ASP.NET Core, Entity Framework Core, SQL Server, Microsoft Azure, microservices, DevOps, secure application development, and generative AI. He also teaches thousands more through his YouTube tutorials, articles, and practical technical content.

His teaching philosophy is simple: explain the why, build the how, and help learners develop the confidence to apply both in real systems.

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Reviews

4.3

1,009 ratings on Udemy

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By Nitin Kumar on 6/27/2026

This is what I am looking for. Course is well designed and explained well. Showing every single step clearly and so that we can go along. Thanks

By Mohd Sarfaraj on 6/15/2026

When I started, I was completely new to AI, ML.NET, and Generative APIs. Thanks to Trevoir Williams for the excellent guidance and teaching—I now have a strong understanding of these technologies.

By Kevin Hu on 3/1/2026

Too much reading from the slides and super entry level for hands-on coding sample. For example when talking about ML.NET, I can spend 5 mins to read the ML.NET overview docs to get the content in the course. The course doesn't even mention the very basic and fundamental concepts about ML and the Tools from ML.NET. DO NOT waste time for this course.

By Charly Guirao on 1/27/2026

Good content. I would have liked to see more complex examples. Perhaps an AI tool that combines the results of a machine learning prediction with LLMs and different models to solve various parts of the tool.

By Henner Hucker on 12/6/2025

Man wird in einer sehr sinnvollen Reihenfolge verständlich an das Thema herangeführt. Auch wenn man bereits Vorwissen und Erfahrung mitbringt, hat dieser Kurs auch neuen Input. Gefällt mir sehr gut.

By Gerardo Sanchez Donnadieu on 11/19/2025

Excelente curso. Muy buena explicación que abarca la mayor parte de los conceptos que se requieren para iniciar como desarrollador en IA. Gracias y felicidades

By Ravitheja Garre on 7/14/2025

It really helped me gain knowledge about Azure AI Services. One aspect I particularly liked was using the services and resources through .NET code.

By Kemar Norton on 1/23/2025

The AI Generative course was an incredible learning experience that deepened my understanding of generative AI and its real-world applications. I learned the core concepts of generative AI and how to seamlessly integrate Azure AI Services with .NET to build smarter, more intuitive applications. The hands-on sessions were especially helpful in working with Natural Language Processing (NLP) and exploring tools like Azure OpenAI Services and Azure AI Cognitive Services. I also gained valuable insights into machine learning, from training models using Azure ML to using ML Builder for local neural networks. One of the most exciting parts was implementing Retrieval-Augmented Generation (RAG) to create grounded AI applications and experimenting with powerful OpenAI models like GPT and DALL-E for text and image generation. Overall, the course gave me the confidence to develop and deploy innovative AI solutions effectively.

By Balaji Rajandran on 12/18/2024

Generate the content by human way and not AI way Exceptional Learning Experience with "Generative AI for .NET Developers with Azure AI Services" The course "Generative AI for .NET Developers with Azure AI Services" offers a comprehensive and well-structured learning experience. The author has done an excellent job of driving the course, providing clear and concise explanations for each service. The inclusion of code examples enhances the learning process, making complex concepts easier to understand and apply. The practical approach and in-depth coverage of Azure AI Services are particularly commendable, offering valuable insights for developers looking to harness the power of AI in their .NET applications. Highly recommend this course for its clarity, depth, and practical focus.

By Krešimir Wittenberg on 11/6/2024

Highly Recommended! If you haven't explored Azure AI yet, this course is a fantastic starting point! You'll learn how to integrate generative AI into your .NET projects, from text validation to complex AI solutions. What You’ll Learn: - Fundamentals of generative AI and key algorithms like neural networks and transformers - Hands-on skills with Azure OpenAI and Cognitive Services for .NET - Applying AI to real-world business scenarios, from chatbots to document generation - Secure and scalable model deployment on Azure infrastructure - Responsible AI implementation, with a focus on ethics and data privacy The course is designed for developers, team leads, and business leaders interested in understanding how AI can enhance operations. You'll gain not only technical skills but also the tools for transformation and innovation. More than just training, this course is a practical guide to the future of software development with AI. Don’t miss the chance to get ahead!

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Overall Score : 86 / 100

Generative AI for .NET Developers with Microsoft Foundry
Visit course on Udemy Write a review
  • Video Duration: icon 12.8h
  • Price: $74.99
  • Provider: icon Udemy
  • Updated: icon September 2026
  • Level: Intermediate Intermediate
  • Language: icon English
  • Certificate: icon Yes
  • Lectures:165 in 17 sections
  • Practice:5 quizzes
  • Students:7,254
  • Subtitles:13 languages
  • Udemy badge:Bestseller
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