AI-3016: Develop Generative AI Apps in Azure Certification

This 1-day instructor-led online AI-3016: Develop Generative AI Apps in Azure course in USA is aimed to help professionals understand and build generative AI applications using Microsoft Azure in a structured and practical way. The training introduces how Azure AI Foundry supports end-to-end AI d

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AI-3016: Develop Generative AI Apps in Azure Certification

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usa

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ai 3016 develop generative ai apps in azure certification

24/7 training assistance

Virtual instructor-led training (8 hours)

Official Microsoft course curriculum

Hands-on labs using Azure AI Foundry

Overview Learning Objectives Who Should Attend Prerequisite Outline Certification

Course Overview

The AI-3016 certification course in USA is designed for professionals who want to create, deploy, and manage generative AI applications using Microsoft Azure. This detailed program provides hands-on learning with Azure AI Foundry and related development tools, helping participants understand how enterprise-ready AI solutions are designed, implemented, and evaluated in real-world environments.

The course begins with an introduction to key Azure AI concepts, development components, and workflows used in generative AI application development. Participants learn how to work within the Azure AI Foundry portal, review models available in the catalog, deploy language models through secure endpoints, and configure them based on application needs. Strong focus is placed on how Azure supports scalable and reliable AI deployments suited for enterprise usage.

As the training progresses, learners gain practical experience using the Microsoft Foundry SDK and prompt flow to design and build conversational AI applications. The program also covers how to implement Retrieval Augmented Generation (RAG) by integrating AI models with enterprise datasets using Azure AI Search, enabling responses that are more accurate, grounded, and context-aware. Guided labs help participants apply these concepts through realistic development exercises aligned with business use cases.

The course further addresses model fine-tuning, evaluation methods, and responsible AI practices, including risk management, content moderation, and governance planning. Participants learn how to monitor model behavior, measure output performance, and apply safeguards to ensure solutions remain compliant and trustworthy.

By the end of the training, participants will have the practical skills required to build, deploy, and optimize generative AI applications in Azure, apply responsible AI standards, and contribute effectively to AI-driven initiatives within their organizations.

Course Objectives

Understand the fundamentals of generative AI and how Azure enables full lifecycle AI application development
Explore Azure AI tools and services used for building, deploying, and managing generative AI solutions
Learn how to choose, deploy, and tune language models through the Azure AI Foundry portal
Create generative AI chat-based applications using the Microsoft Foundry SDK and Azure workflows
Build Retrieval Augmented Generation (RAG) solutions by connecting AI models with enterprise datasets
Use prompt flow methods to design, test, track, and monitor AI application performance
Fine-tune language models to improve output accuracy, relevance, and quality for specific business needs
Evaluate generative AI applications using manual validation, benchmark testing, and automated evaluation tools
Apply responsible AI guidelines to manage risks, ensure content safety, and support ethical AI usage
Establish a strong practical base for developing scalable, secure, and enterprise-grade generative AI applications on Azure

Target Audience

Data scientists
AI engineers
Machine learning engineers
Software developers working on AI-based solutions
Cloud professionals supporting AI projects
Technical professionals exploring generative AI development using Azure

Eligibility Criteria

There are no mandatory prerequisites for enrolling in the AI-3016 course in USA. However, participants will benefit from basic knowledge of AI concepts, familiarity with cloud computing fundamentals, and some exposure to Azure services or programming concepts. This background will help learners understand the course content more easily and gain maximum value from hands-on labs and practical exercises.

Course Outline

Planning and Preparing Generative AI Solutions on Azure

Understand core AI concepts and generative AI fundamentals
Explore Azure AI Foundry tools and development workflows
Review responsible AI principles and governance considerations
Prepare an AI project using Azure development resources

Deploying and Managing Models in Azure AI Foundry

Explore the Azure AI model catalog
Deploy language models to secure endpoints
Optimize model performance and configuration
Interact with deployed models through chat interfaces

Building Generative AI Applications with Microsoft Foundry SDK

Understand the Microsoft Foundry SDK architecture
Configure project connections and AI resources
Create generative AI chat applications
Test and validate application behavior

Using Prompt Flow for Language Model Applications

Understand the lifecycle of large language model applications
Work with prompt flow components and flow types
Manage connections, variants, and runtime environments
Monitor and refine prompt-based workflows

Developing RAG-Based AI Solutions with Enterprise Data

Understand data grounding concepts
Make enterprise data searchable using Azure AI Search
Build RAG-enabled client applications
Integrate RAG into prompt flow pipelines

Fine-Tuning Language Models in Azure

Identify scenarios where fine-tuning is appropriate
Prepare datasets for model fine-tuning
Execute fine-tuning workflows in Azure AI Foundry
Evaluate fine-tuned model performance

Implementing Responsible Generative AI Solutions

Identify and map potential AI risks
Apply content filtering and safety controls
Monitor and manage responsible AI deployments
Maintain compliance and governance standards

Evaluating Generative AI Performance

Assess model outputs manually and automatically
Use evaluation metrics and benchmarks
Analyze performance trends and improvement areas

About the Certification

The AI-3016 course is part of Microsoft’s Applied Skills and role-based learning pathway and is designed to build practical capability rather than prepare learners for a traditional proctored certification exam. There is no separate mandatory exam associated with AI-3016. Participants complete Microsoft-authorized training and receive course completion recognition based on participation and achieved learning outcomes. This program also serves as a strong foundation for progressing toward advanced Microsoft Azure AI and generative AI certifications, as well as future applied skills assessments within the Microsoft ecosystem.

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FAQ’s

What is the AI-3016 course in USA about?

The AI-3016 course teaches professionals how to design, build, deploy, and evaluate generative AI applications using Microsoft Azure. Participants learn how to work with language models, build AI chat applications, implement Retrieval Augmented Generation (RAG), and apply responsible AI practices using Azure AI Foundry and related services.

Who should attend this course?

This course is suitable for AI engineers, data scientists, machine learning engineers, software developers, and cloud professionals who want to build generative AI solutions on Azure. It is also relevant for technical professionals supporting AI-driven systems in enterprise environments.

Is prior AI or machine learning experience required?

Prior knowledge of AI concepts or programming is helpful, but not mandatory. The course explains key concepts step by step, making it accessible to professionals transitioning into generative AI development.

What are the prerequisites for AI-3016?

There are no mandatory prerequisites. However, familiarity with cloud fundamentals, basic AI concepts, and Microsoft Azure services will help participants understand the course content and labs more effectively.

What skills will I gain from this training?

You will learn how to deploy and configure language models, build generative AI chat applications, implement RAG solutions using enterprise data, fine-tune models, evaluate AI performance, and apply responsible AI principles while developing Azure-based applications.

Is the AI-3016 course delivered online or in person?

The course is delivered through live virtual instructor-led training. Participants attend interactive sessions with Microsoft-certified trainers and receive real-time support during labs and discussions.

What is the duration of the AI-3016 course in USA?

The program runs for 1 full day (8 hours). It is designed as an intensive course that combines conceptual learning with hands-on implementation.

Does the course include hands-on labs?

Yes. The course includes guided labs where participants deploy models, build chat applications, implement RAG solutions, fine-tune language models, and evaluate generative AI outputs using Azure AI Foundry.

Will I receive a certificate after completing the course?

Yes. Participants who successfully complete the training receive an official Vinsys course completion certificate aligned with Microsoft-authorized course content.

How does this course support career and organizational goals?

For professionals, the course builds practical Azure generative AI development skills that support career growth in AI engineering and cloud AI roles. For organizations, it enables teams to build scalable, responsible, and enterprise-ready generative AI applications that support innovation and digital transformation.

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Reviews

The AI-3016 course at Vinsys in USA gave me a strong understanding of how generative AI applications are developed on Azure from start to finish. The training was practical and focused on real development workflows, which helped me understand model deployment, data integration, and evaluation methods. The labs were well designed and closely reflected real project scenarios. After completing the program, I feel confident working within Azure AI Foundry and applying these skills in my role.

Charlie Logan24/7 Learning Assistance Expert

Attending the AI-3016 training with Vinsys in USA was a valuable experience for anyone looking to work seriously with generative AI on Azure. The instructor explained the entire process in a clear sequence, from selecting models to building RAG-based solutions. The sessions on prompt flow and evaluation were especially useful for understanding how to improve output quality systematically. This course helped me approach enterprise AI development with better structure and clarity.

Micah River8-Hour Virtual Instructor-Led Trainer

My experience with the AI-3016 program at Vinsys in USA was highly practical and focused on real application development. The course avoided unnecessary complexity and instead concentrated on how Azure tools are actually used in enterprise environments. The exercises helped me understand how to ground AI outputs using custom data and monitor model performance effectively. By the end of the training, I felt more prepared to contribute to generative AI initiatives within my organization.

Noel CaseyMicrosoft Certified Curriculum Specialist

The AI-3016 training delivered by Vinsys in USA was well structured and strongly aligned with real-world Azure AI development requirements. The instructor ensured each concept was understood before moving to the next topic, which made the sessions easy to follow. I also appreciated the attention given to responsible AI, governance, and evaluation methods, as these areas are critical for production deployments. I would recommend this course to professionals looking to build reliable generative AI applications on Azure.

Victor PayneAzure AI Foundry Lab Specialist