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.
Beyond Training | Our Learning Community in Action
We regularly host alumni meetups, expert sessions, and networking events to help professionals stay updated, connected, and industry-ready even after course completion.
“ Alumni meetups that keep professionals connected, visible, and engaged even after completing their training journey. ”
“ Learner gatherings designed to strengthen peer connections, real-world networking, and shared growth opportunities. ”
“ Expert-led sessions that help professionals stay updated with practical insights, trends, and industry perspectives. ”
“ A growing community experience built around collaboration, industry readiness, and continuous professional development. ”
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