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Current
Intermediate
AI Tutor Pick

Develop Generative AI Apps in Azure

Microsoft Learn (AI & Azure AI) · Microsoft · Updated

AI Tutor Rating

8.8/10

Duration

5 hours 17 minutes

Classes

18

Build generative AI applications using Azure OpenAI Service. Learn prompt engineering, RAG patterns, and deployment best practices.

Develop Generative AI Apps in Azure is a free, 5-hour 17-minute course on Microsoft Learn's AI and Azure AI platform. Authored by Microsoft, it teaches developers how to build generative AI applications using the Azure OpenAI Service. The curriculum covers Azure OpenAI fundamentals, prompt engineering for applications, implementing Retrieval-Augmented Generation (RAG) patterns, and deployment and monitoring best practices. This course serves developers and cloud practitioners who want to move from conceptual AI knowledge to building and deploying practical, production-ready applications on Azure.

What you'll learn in Develop Generative AI Apps in Azure

Build generative AI apps with Azure OpenAI
Implement RAG patterns for grounded responses
Design effective prompts for production apps
Deploy and monitor GenAI applications

Our Review of Develop Generative AI Apps in Azure

Develop Generative AI Apps in Azure is a tightly structured, practitioner-focused course that delivers on its promise to teach the core skills for building production generative AI apps. The 18-lecture curriculum is logically sequenced, moving from Azure OpenAI fundamentals through to deployment, which mirrors a real-world development workflow. The teaching format is the standard Microsoft Learn module-based approach, which is text-heavy and interactive, relying on hands-on exercises within the Azure environment. This format is effective for learners who prefer learning by doing, though it may lack the narrative cohesion of a video-led course.

The depth is appropriate for its stated goal of application development, focusing on implementable patterns like RAG and prompt engineering for apps rather than deep theoretical AI concepts. The prerequisite of basic Azure knowledge sets a realistic difficulty level, ensuring learners can focus on the AI-specific content without getting bogged down in cloud navigation. The learning outcomes suggest a learner who completes this course will be able to build a functional generative AI application using Azure OpenAI, implement a RAG system to ground responses in external data, and understand the considerations for deploying and monitoring such an app in production.

The course's free price point and included certificate significantly boost its value proposition. It removes financial barriers, making it an accessible entry point for upskilling. The certificate provides tangible proof of skill acquisition, which is valuable for professional development and validating one's practical knowledge to employers or clients in the Azure ecosystem.

Pros and cons of Develop Generative AI Apps in Azure

Pros

  • Free of charge, removing financial barriers to entry.
  • Includes a certificate of completion for professional validation.
  • Focuses on practical, production-ready patterns like RAG and deployment.
  • Authored directly by Microsoft, ensuring alignment with Azure platform best practices.
  • Structured curriculum that logically progresses from fundamentals to deployment.

Things to consider

  • Requires basic Azure knowledge, which is a barrier for absolute cloud beginners.
  • Relies solely on Microsoft Learn's text and exercise format, which may not suit visual or auditory learners.
  • The 5-hour duration, while concise, means it provides a focused introduction rather than exhaustive, deep-dive coverage.

Who should take Develop Generative AI Apps in Azure?

This course is best for Azure developers, cloud engineers, or software developers with basic Azure experience who need to quickly learn how to implement practical generative AI applications using Microsoft's official tools and services. It fits those aiming to build and deploy production apps with RAG and proper monitoring, not just experiment with prompts.

Course curriculum for Develop Generative AI Apps in Azure

Develop Generative AI Apps in Azure at a glance

Key facts about Develop Generative AI Apps in Azure on Microsoft Learn (AI & Azure AI)
ProviderMicrosoft Learn (AI & Azure AI)
InstructorMicrosoft
LevelIntermediate
Time to complete5 hours 17 minutes
PricingFree
CertificateCertificate
PrerequisitesBasic Azure knowledge

Fit

Best for

Developers
AI Engineers
Data Scientists
Technical Builders

Not ideal for

Learners seeking only entry-level overviews
Growth Leverage: Completing this course positions individuals for roles such as AI Developer, Machine Learning Engineer, or Cloud Solutions Architect, particularly in firms utilizing Azure. It also opens pathways for Azure certifications, enhancing credibility in generative AI applications and expanding career opportunities in tech and data science fields.
Skills Value: The practical skills gained can command salaries premium in the tech industry, with AI Developer roles averaging $120,000 annually. Employers value expertise in creating generative AI applications as businesses increasingly seek innovative solutions powered by AI to enhance customer engagement and automate processes.
Azure OpenAI
Generative AI
RAG
Prompt Engineering
Microsoft

The bottom line on Develop Generative AI Apps in Azure

Develop Generative AI Apps in Azure is a high-value, zero-cost primer that effectively equips Azure practitioners with the core skills to build and deploy generative AI applications. Its practical focus on RAG and deployment, combined with a Microsoft-issued certificate, makes it a compelling starting point for professional development, though newcomers to Azure will need foundational knowledge first.

Develop Generative AI Apps in Azure: frequently asked questions

What exactly does the Develop Generative AI Apps in Azure course teach you to build?

The Develop Generative AI Apps in Azure course teaches you to build production-ready generative AI applications using Azure OpenAI Service, specifically focusing on implementing Retrieval-Augmented Generation (RAG) patterns, designing effective prompts for apps, and deploying and monitoring these applications.

How much prior Azure experience do I need before taking this generative AI course?

You need basic Azure knowledge as a prerequisite for the Develop Generative AI Apps in Azure course. The course focuses on AI development and assumes you are already comfortable navigating and using core Azure services.

Is the certificate for the Develop Generative AI Apps in Azure course free and recognized?

Yes, the certificate for Develop Generative AI Apps in Azure is free. As a Microsoft Learn credential, it is recognized as proof of skill acquisition within the Microsoft and Azure ecosystem, which is valuable for professional profiles.

How does this Microsoft Learn course compare to other introductory generative AI courses?

Compared to general introductory AI courses, Develop Generative AI Apps in Azure is uniquely platform-specific, focusing entirely on building apps within Azure using Azure OpenAI Service and Microsoft's recommended patterns like RAG, rather than covering multiple AI models or cloud platforms.

What's the best way to get the most out of this Azure AI development course?

To get the most from Develop Generative AI Apps in Azure, ensure you meet the basic Azure prerequisite and actively follow along with all the hands-on exercises in the Microsoft Learn modules, as the practical application is central to the course's value.

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