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Microsoft Foundry Training (AI-3016)

Microsoft Foundry Training

The AI-3016: Develop Generative AI Apps in Azure course focuses on Microsoft Foundry Training and focuses on the complete lifecycle of generative AI app development from planning and model selection to deployment, optimization, and responsible AI implementation. Participants learn how to work with foundation models from the Microsoft Foundry model catalog, deploy models to secure endpoints, and integrate them into applications using the Microsoft Foundry SDK. The course goes beyond basic prompting and shows how to build production-ready AI solutions.


AI-3016: Develop Generative AI Apps in Azure is an intermediate-level, hands-on course designed to help developers, AI engineers, and solution architects build real-world generative AI applications using Microsoft Foundry. You will explore strategies to optimize model performance through prompt refinement, fine-tuning, and evaluation techniques ensuring consistent, reliable, and measurable AI behavior. By the end of this Microsoft Foundry training, participants will be equipped with the skills to confidently design, build, optimize, and evaluate generative AI applications on Azure.


  • Build and deploy generative AI applications using Microsoft Foundry
  • Select, evaluate, and optimize foundation models from the model catalog
  • Design chat and agent experiences using prompts, tools, and RAG
  • Improve AI output quality through prompt engineering and fine-tuning
  • Implement responsible and governance‑ready generative AI solutions
Advance Your Skills with Flexmind (Microsoft Partner)

Who should attend the AI-3016: Develop generative AI apps in Microsoft Foundry portal course ?

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For Professionals

The course is most appropriate for professionals who actively build, integrate, or design AI-powered applications using Azure services and modern development frameworks. Ideal job roles include AI Engineer, Software Developer / Application Developer, Data Scientist, Machine Learning Engineer, Cloud Solution Architect, DevOps or Platform Engineers

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For Businesses

From an organization’s standpoint, this training is a high-impact investment for teams responsible for building AI features, copilots, or intelligent applications on Azure.

Prerequisites for the "AI-3016: Develop generative AI apps in Microsoft Foundry portal" Course

Before starting this course, students should be familiar with fundamental AI concepts and services in Azure. They should also be proficient in coding with Python or C#.

Key Features of Flexmind's "AI-3016: Develop generative AI apps in Microsoft Foundry portal" Training

This training is delivered by Flexmind through flexible online and offline formats and is designed to align with the most current certification exam requirements. The key features of this training are as follows:

1 Day · 8-Hour
Microsoft Certified Trainer
Microsoft Official curriculum
Cloud Lab Access
Applied Workshop

Course Duration

The course has a total duration of 8 hours and is completed over 4 days.

Instructor-Led Training

Delivered by a Senior Microsoft Certified Trainer with real-world, enterprise-scale experience in Microsoft Foundry based implementations.

Microsoft Official curriculum

Delivered by Flexmind using official Microsoft curriculum, this program blends study material, hands-on labs, and applied workshops with instructor-led guidance throughout.

Cloud Lab Access

The course will be covered using cloud lab access.

Course Completion Certificate


Course completion includes certification, formally validating the skills gained and reinforcing professional credibility.

Course Outline - AI-3016: Develop generative AI apps in Azure AI Foundry portal

Module 1: Plan and prepare to develop AI solutions on Azure

  • Microsoft Foundry
  • Foundry Tools
  • Developer tools and SDKs
  • Principles of responsible AI
  • Lab - Prepare for an AI development project

Module 2: Select, deploy, and evaluate Microsoft Foundry Models

  • Explore the model catalog
  • Select models using benchmarks
  • Deploy models to endpoints
  • Evaluate model performance
  • Lab - Explore and compare models

Module 3: Develop a generative AI chat app with Microsoft Foundry

  • Explore with the model playground
  • Choosing an endpoint and SDK
  • Compare ChatCompletions with Responses API
  • Compare per-turn code pattern
  • Using the Responses API
  • Using the ChatCompletions API
  • Lab - Create a generative AI chat app

Module 4: Develop generative AI apps that use tools

  • What are tools?
  • Using the code_interpreter tool
  • Using the web_search tool
  • Using the file_search tool
  • Using the function tool
  • Using the ChatCompletions API
  • Lab - Create a generative AI app that uses tools

Module 5: Optimize generative AI model performance with Microsoft Foundry

  • Optimizing model performance
  • Prompt engineering
  • Ground your model with Retrieval Augmented Generation
  • Fine-tune a model for consistent behavior
  • Lab - Fine-tune a language model

Module 6: Implement a responsible generative AI solution in Microsoft Foundry

  • Plan a responsible generative AI solution
  • Guardrails
  • Lab - Apply guardrails to prevent the output of harmful content

Module 7: Develop AI agents with Microsoft Foundry and Visual Studio Code

  • Understand AI agents
  • Why agents are useful
  • AI agent use cases
  • Typical development workflow
  • Choose your development approach
Class Schedule

Instructor‑Led Training

  • 8-Hour of Instructor‑Led Training
  • One‑to‑one doubt‑resolution sessions
  • Microsoft Official Lab Access

Learning Objectives - AI-3016: Develop generative AI apps in Azure AI Foundry portal

After completing the AI-3016: Develop generative AI apps in Microsoft Foundry portal course, learners will be able to:


  • Plan and prepare generative AI solutions on Azure by selecting appropriate Azure AI services, tools, and development approaches using Microsoft Foundry.
  • Select, deploy, and evaluate language models from the Microsoft Foundry model catalog, using benchmarks and evaluation techniques to identify the best fit for specific use cases.
  • Build generative AI applications using the Microsoft Foundry SDK, including chat-based and tool-enabled AI apps that interact intelligently with users.
  • Optimize generative AI responses using prompt engineering, RAG, and fine-tuning techniques, ensuring grounded, accurate, and consistent AI behavior.
  • Implement and evaluate responsible generative AI solutions, applying safety controls, content filters, and performance evaluation practices within the Microsoft Foundry portal.

About AI-3016 Applied Skills


To help you understand the assessment better, here are a few important details about the exam.


Applied Skills assessment lab AI-3016: Develop generative AI apps by using Azure AI Foundry portal
Who should Apply AI Engineer, Data Scientist
Duration of Exam 2 Hours
Fees Free
Level of Difficulty Intermediate
Type of Credential Microsoft Applied Skills
Languages English, Japanese, Chinese (Simplified), German, French, Spanish, Portuguese (Brazil), Arabic (Saudi Arabia)
Exam Retake Exam retake allowed after 24 hours
Quality Check during Assessment Self-Proctored

FAQ's About AI-3016: Develop generative AI apps in Azure AI Foundry portal Course

AI‑3016 is a Microsoft Applied Skills–aligned training that teaches developers how to design, build, and evaluate generative AI applications using language models and development tools available in the Azure AI Foundry portal.

This course is ideal for software developers, AI engineers, data scientists, and cloud professionals who want to build generative AI apps such as chatbots, copilots, and AI assistants on Microsoft Azure.

Participants should have programming experience (Python or C# recommended) and a basic understanding of AI concepts and Azure services. Prior experience with large language models is helpful but not mandatory.

This course is not intended for absolute beginners. It is best suited for professionals who already understand basic AI concepts and want hands‑on experience developing production‑ready generative AI solutions.

The course covers planning generative AI solutions, selecting and deploying models from the model catalog, building AI apps using the Foundry SDK, prompt flow development, Retrieval‑Augmented Generation (RAG), model fine‑tuning, responsible AI practices, and performance evaluation.

The AI‑3016 training is delivered as a 1‑day instructor‑led program, focused on practical, hands‑on learning with real‑world scenarios.

The course is delivered by a Microsoft Certified Trainer (MCT) with real‑world experience in developing and deploying generative AI applications on Azure.

Yes. The course is aligned to the Microsoft Applied Skills: Develop generative AI apps in Microsoft Foundry and follows the official Microsoft Learn curriculum.

Yes. You will learn how to design generative AI chat experiences, integrate tools, and ground responses using your own data with RAG techniques in Azure AI Foundry.

Yes. The training includes guidance on implementing responsible generative AI, including content filtering, risk mitigation, and evaluation using Microsoft Foundry tools.

You will work with Azure AI Foundry portal, the model catalog, Azure AI Foundry SDK, prompt flow, and evaluation tools for generative AI applications.

Yes. Participants receive a Flexmind course completion certificate after attending the full 1‑day training. The Applied Skill assessment can be taken separately through Microsoft.

AI‑3016 focuses on building custom generative AI applications using Azure AI Foundry, while GitHub Copilot and Copilot Studio focus on developer productivity and low‑code copilots respectively.

Yes. The course is highly relevant for teams building AI‑enabled products, internal copilots, knowledge assistants, and customer‑facing AI applications on Azure.

The training enables teams to move from AI experimentation to scalable, responsible, and production‑ready generative AI solutions using Microsoft’s recommended architecture and tools.
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