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AI-3016: Develop Generative AI Apps in Azure India

online AI-3016: Develop Generative AI Apps in Azure course

This 1-day instructor-led online AI-3016: Develop Generative AI Apps in Azure course in India provides a structured introduction to building generative AI applications using Microsoft Azure. Participants gain insight into how Azure AI Foundry enables generative AI development, examine the model c

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AI-3016: Develop Generative AI Apps in Azure

training

Domain / Vendor

develop generative ai apps in azure ai 3016 certification

Led by Microsoft-certified trainers

Hands-on labs using Azure AI Foundry

Official Microsoft course curriculum

Virtual instructor-led training

Overview Learning Objectives Who Should Attend Prerequisite Outline Certification

AI-3016 certification course overview

The AI-3016 certification course in India is designed for professionals who want to design, build, and manage generative AI applications using Microsoft Azure. This in-depth program provides hands-on exposure to Azure AI Foundry and related tools, helping learners understand how modern AI solutions are created, deployed, and evaluated in real enterprise environments.
The course begins by introducing core Azure AI concepts, development tools, and workflows required for building generative AI applications. Participants learn how to navigate the Azure AI Foundry portal, explore the model catalog, deploy language models to secure endpoints, and fine-tune performance based on application requirements. Emphasis is placed on understanding how Azure supports scalability, reliability, and enterprise-grade AI deployments.
As the training progresses, learners gain practical experience using the Microsoft Foundry SDK and prompt flow to design conversational AI applications. They explore how to implement Retrieval Augmented Generation (RAG) by connecting AI models to their own datasets using Azure AI Search, enabling more accurate and context-aware responses. Guided labs help translate these concepts into working solutions that reflect real business use cases.
The program also covers model fine-tuning, performance evaluation techniques, and responsible AI practices, including risk assessment, content moderation, and governance planning. Participants learn how to monitor model behavior, assess output quality, and apply safeguards to ensure AI solutions are ethical and compliant.
By the end of the course, participants will be equipped with the practical knowledge and skills required to build, deploy, and optimize generative AI applications on Azure, apply responsible AI principles, and confidently contribute to AI-driven projects within their organizations.

Course Objectives

Understand the core concepts of generative AI and how Azure supports end-to-end AI application development.
Explore Azure AI services and tools used to design, deploy, and manage generative AI solutions.
Learn how to select, deploy, and optimize language models using the Azure AI Foundry portal.
Build generative AI chat applications using the Microsoft Foundry SDK and Azure-based workflows.
Implement Retrieval Augmented Generation (RAG) solutions by integrating AI models with custom enterprise data.
Apply prompt flow techniques to manage, test, and monitor language model applications effectively.
Fine-tune language models to improve response quality, relevance, and performance for specific use cases.
Evaluate generative AI applications using manual reviews, benchmarks, and automated evaluation methods.
Apply responsible AI principles to identify risks, manage content safety, and ensure ethical AI usage.
Develop a practical foundation for building scalable, secure, and enterprise-ready generative AI applications on Azure.

Target Audience

Data Scientists
AI Engineers
Machine Learning Engineers
Software Developers working with AI solutions
Cloud Professionals involved in AI projects
Technical Professionals exploring generative AI on Azure

Eligibility Criteria

There are no strict prerequisites for enrolling in the AI-3016 course in India. However, familiarity with basic AI concepts, an understanding of cloud computing fundamentals, and prior experience with Azure or programming concepts will help participants grasp the course content more easily and gain maximum benefit from the 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

AI-3016: Develop Generative AI Apps in Azure Certification

The AI-3016 course is part of Microsoft’s Applied Skills and role-based learning pathway and focuses on practical skill development rather than a traditional proctored certification exam. There is no standalone mandatory exam associated with AI-3016. Participants complete the official Microsoft training and receive course completion recognition based on participation and learning outcomes. This course also prepares learners for more advanced Microsoft Azure AI and generative AI certifications and applied skills assessments within the Microsoft ecosystem.

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FAQ’s

What is the AI-3016 course in India about?

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

Who should attend this course?

This course is ideal for AI engineers, data scientists, machine learning engineers, developers, and cloud professionals who want to build generative AI solutions on Azure. It is also suitable for technical professionals involved in designing or supporting AI-driven applications.

Is prior AI or machine learning experience required?

While the course is designed at an intermediate level, prior exposure to AI concepts, cloud platforms, or programming will be helpful. However, the training explains 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. Basic familiarity with cloud computing, AI concepts, and Microsoft Azure services is recommended to better understand the course content and hands-on labs.

What skills will I gain from this training?

You will learn how to deploy and optimize language models, build generative AI chat applications, implement RAG using your own data, fine-tune models, evaluate AI performance, and apply responsible AI principles within Azure-based solutions.

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

The course is delivered as virtual instructor-led training. Participants attend live sessions led by Microsoft-certified trainers and receive real-time guidance and support.

What is the duration of the AI-3016 program in India?

The course duration is 1 day (8 hours). It is designed as an intensive, hands-on program that covers both conceptual understanding and practical implementation.

Does the course include hands-on labs or practical exercises?

Yes. The AI-3016 course includes multiple guided labs that allow participants to deploy models, build chat applications, implement RAG solutions, fine-tune models, and evaluate generative AI performance using Azure AI Foundry.

Will I receive a certificate after completing the course?

Yes. Upon successful completion of the training, participants receive an official course completion certificate from Vinsys, aligned with Microsoft’s authorized course curriculum.

How does this course support career growth or organizational goals?

This course equips professionals with practical skills to build and manage generative AI solutions on Azure, supporting career growth in AI engineering and cloud AI roles. For organizations, it enables teams to develop scalable, responsible, and data-driven AI applications that support innovation and digital transformation initiatives.

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