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Azure AI Engineer Associate Certification

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This certification validates your ability to design, build, and manage end-to-end AI solutions on Azure, leveraging cognitive services, conversational AI, knowledge mining, and generative AI with responsible, scalable practices.

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What is Azure AI Engineer Associate Certification Training about?

The Azure AI Engineer Associate certification validates your ability to design, build, manage, and deploy AI-powered applications on Microsoft Azure using services like Azure Cognitive Services, Azure OpenAI, and Azure Machine Learning. This role-based certification is ideal for professionals building AI-driven solutions that include natural language processing (NLP), computer vision, speech recognition, knowledge mining, and generative AI.

With a strong focus on real-world application, the course emphasizes responsible AI practices, scalability, and operationalization of models using modern tools like MLflow, Prompt Flow, and LLMOps. Learners will also explore agentic AI design, implementing intelligent systems that can reason, orchestrate, and adapt.

By earning this certification, you demonstrate that you can deliver secure, efficient, and ethical AI solutions using the Microsoft Azure ecosystem.

What are the objectives of Azure AI Engineer Associate Certification Training ?

  • Apply responsible AI practices
  • Build computer vision solutions (image, video, OCR)
  • Create NLP and conversational AI experiences
  • Extract insights using knowledge mining and document intelligence
  • Secure and monitor AI workloads
  • Deploy and operationalize models with CI/CD and MLflow

Who is Azure AI Engineer Associate Certification Training for?

  • AI engineers developing end-to-end solutions using Python or C#
  • Professionals integrating Azure Cognitive Services for vision, speech, NLP, knowledge mining, and generative AI
  • Those aiming to design, deploy, monitor, and secure AI applications at scale on Azure

What are the prerequisites for Azure AI Engineer Associate Certification Training?

  • Proficiency in at least one programming language such as Python or C#
  • Understanding of machine learning concepts and basic data science principles
  • Familiarity with Azure services, especially those related to AI and data processing
  • Experience in using REST APIs and SDKs
  • Some knowledge of natural language processing (NLP), computer vision, or speech processing is helpful