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AI-3016: Develop Generative AI Apps in Azure Course

  • Duration: 8 Hours
  • Exam Voucher: Yes
  • Language: English
  • Course Delivery : E - Learning Access
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Course Overview

The AI-3016: Develop Generative AI Apps in Azure Course delivers focused training for professionals looking to create AI-powered applications using Azure’s generative AI capabilities. Participants gain a structured understanding of how to integrate large language models into applications, design effective prompts, manage data inputs and outputs, and apply responsible AI principles. The course emphasizes practical development patterns, helping learners move from experimentation to scalable, secure AI applications deployed in Azure environments.

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Course Details

  • Build practical skills in developing generative AI applications on Azure.
  • Understand how to work with Azure OpenAI models and APIs.
  • Learn prompt engineering techniques for reliable AI outputs.
  • Gain hands-on experience integrating AI into real applications.
  • Apply security, governance, and responsible AI considerations.
  • Establish a strong foundation for advanced Azure AI and generative AI roles.
  • Ideal for developers, AI engineers, and cloud professionals.
  • Recommended to have basic programming knowledge and familiarity with cloud concepts.
  • Experience with APIs or application development is beneficial.
  • No prerequisite certifications required for course participation.
  • Explain generative AI concepts and Azure OpenAI capabilities.
  • Design and implement applications that use generative AI models.
  • Create effective prompts and manage model responses.
  • Integrate generative AI services using APIs and SDKs.
  • Apply responsible AI, security, and governance best practices.
  • Deploy and manage generative AI applications in Azure environments.
  • Generative AI Fundamentals: Concepts, use cases, and application patterns.
  • Azure OpenAI Overview: Models, endpoints, and service architecture.
  • Prompt Engineering: Designing prompts for accuracy and relevance.
  • Application Integration: APIs, SDKs, and workflow integration.
  • Security and Governance: Access control and responsible AI principles.
  • Deployment Concepts: Scaling, monitoring, and operational considerations.
  • Best Practices: Performance, reliability, and cost awareness.
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What Our Corporate Clients Say

Trusted by leading organizations worldwide

James Abot
★★★★★

Much obliged to you for this course. I get know understanding and information in utilizing various types of online apparatuses which are helpful and viable. I'll utilize some of them during my exercises. Also, heaps of much obliged.

Sayali Patil
★★★★★

This was a very immersive and interesting course from NovelVista a lot of self-learning to be done on your own to really understand and put together into practice the technology into your own course and workflow.

Amit Shrivastav
★★★★★

It was truly an amazing learning session. I did have my apprehensions before signing up, but trainer made me feel so comfortable from the time we started the session till the very end of it.Thanks for this amazing experience.

Frequently Asked Questions

What is included in this course?+

Instructor-led modules covering generative AI concepts, Azure OpenAI integration, prompt engineering, application development patterns, and hands-on labs.

Is there an associated certification exam?+

This course aligns with Microsoft Azure AI learning paths and supports skill development for generative AI application roles.

Who should enroll?+

Developers, AI engineers, and IT professionals interested in building generative AI solutions on Azure.

How is the course delivered?+

Delivered through instructor-led virtual classroom sessions with structured lessons, guided labs, and real-world generative AI scenarios.

Do I need prior AI experience?+

Basic programming knowledge is recommended. Generative AI concepts are introduced progressively throughout the course.

Is hands-on practice included?+

Yes — guided labs and scenario-based exercises are included to reinforce real-world generative AI application development.