AI-3016 Course Overview:

This one-day technical training equips learners with the knowledge and practical skills required to develop generative AI applications using Azure AI Foundry. As the adoption of generative AI continues to accelerate across industries, Azure AI Foundry provides a unified environment for discovering, deploying, customizing, and evaluating AI models and applications. 

Through hands-on labs and guided exercises, learners will explore model deployment from the Azure AI Foundry model catalog, develop applications using Prompt Flow, build RAG-based agents using custom organizational data, fine-tune language models, evaluate AI application performance, and apply responsible AI principles. By the end of the course, participants will have practical experience building end-to-end generative AI solutions using Azure AI Foundry.

After Completing the course, students will be able to:

  • Explore and deploy the models from the model catalog in Azure AI Foundry portal.
  • Get started with Prompt Flow to develop language model applications
  • Build a RAG-based agent with organizational and custom data
  • Fine-tune a language model with Azure AI Foundry
  • Evaluate the performance of generative AI applications
  • Fine-tune language models using Azure AI Foundry
  • Evaluate the performance of generative AI applications
  • Apply responsible AI practices during AI application development
  • Build end-to-end generative AI solutions using Azure AI Foundry

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Key Features:-

  • Guidance from Microsoft-certified Azure AI experts 

  • Interactive hands-on labs and practical demonstrations 

  • Azure AI Foundry model deployment exercises 

  • Prompt Flow implementation workshops 

  • Real-world generative AI use cases and business scenarios 

  • Enterprise-focused RAG implementation practices 

  • Model fine-tuning and evaluation techniques 

  • Integrated learner support through LMS and expert assistance 

  • Industry-aligned curriculum authored by Microsoft Learning Partner 

  • Practical learning approach focused on real-world implementation 

Who should attend this course ?

  • AI and data science enthusiasts eager to explore the world of AI solutions.
  • AI Developers and Data Scientists working with Generative AI applications
  • IT Professionals looking to leverage Azure AI Foundry capabilities
  • Students learning Artificial Intelligence and Cloud technologies
  • Technical Team Leads and Managers overseeing Generative AI initiatives
  • Professionals evaluating Azure AI Foundry for enterprise adoption

Pre-requisites of AI-3016 course:-

To enrol in this course, it is recommended to have:
  • Basic proficiency in AI solutions 
  • General awareness of AI principles 
  • Basic exposure to Generative AI concepts 

Learning objective of the AI-3016 Certification Training :

  • Understand Azure AI Foundry capabilities and core components 
  • Explore and deploy foundation models from the Azure AI Foundry model catalog 
  • Build language model applications using Prompt Flow 
  • Implement Retrieval-Augmented Generation (RAG) solutions using enterprise data 
  • Fine-tune foundation models for specific business requirements 
  • Measure and evaluate generative AI application performance 
  • Apply responsible AI principles and governance controls 
  • Develop production-ready generative AI applications using Azure AI Foundry best practices 

Why choose CloudThat as your training partner for AI-3016?

  • Trusted Microsoft Learning Partner with proven expertise in Microsoft technologies 
  • Successfully trained more than 650,000 professionals globally 
  • Delivered training solutions to over 100 corporate customers worldwide
  • Experienced, certified, and industry-recognized Azure AI instructors 
  • Practical, hands-on approach focused on real-world business scenarios
  • Industry-aligned curriculum designed to meet current market requirements 
  • Integrated LMS, learner support, and expert guidance ecosystem 
  • Post-training resources and continued learning support 

Course Outline:- Download Course Outline

Certification details:

    • Aligned with Microsoft's AI-3016: Develop Generative AI Apps in Azure AI Foundry Portal Applied Skills credential
    • Demonstrates practical knowledge of developing generative AI applications using Azure AI Foundry
    • Supports preparation for advanced Microsoft AI learning and certification paths
    • CloudThat Certificate of Completion provided after successful course completion
    • Microsoft Applied Skills credential available through Microsoft's official assessment process
    Important Note
    • Upon successfully completing the Microsoft Applied Skills assessment, learners receive the Microsoft Credential: Develop Generative AI Apps in Azure AI Foundry Portal
    • Assessment availability, format, and credential requirements are subject to Microsoft updates and should be verified through Microsoft Learn

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Course ID: 23591

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FAQs for AI-3016

One full day of instructor-led training with practical demonstrations and hands-on exercises.

AI Developers, Data Scientists, IT Professionals, Technical Leads, Students, and technology professionals interested in building Generative AI applications using Azure AI Foundry.

Yes, the course includes practical labs covering model deployment, Prompt Flow, RAG implementation, fine-tuning, and application evaluation.

Basic familiarity with AI concepts and Azure fundamentals is recommended. Advanced Azure AI expertise is not required.

Azure AI Foundry model deployment, Prompt Flow development, Retrieval-Augmented Generation (RAG), language model fine-tuning, AI application evaluation, and Responsible AI practices.

Yes. The course is aligned with the AI-3016 Applied Skills objectives for developing generative AI applications in Azure AI Foundry.

Yes. Prompt Flow development and RAG-based agent creation are core components of the course.

Course completion is based on participation and hands-on learning activities. Learners may pursue the official Microsoft Applied Skills assessment separately through Microsoft Learn.

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