Azure AI Engineer Associate Badge

Certification Overview

  • Name: Microsoft Certified: Azure AI Engineer Associate (AZ-102)
  • Date Obtained: March 2024
  • Expiration Date: March 2025
  • Issuer: Microsoft
  • Credential ID: 3E4CFDCB0CDCFD54
  • Verification URL: Verify

Certification Summary

The Microsoft Certified: Azure AI Engineer Associate certification demonstrates advanced knowledge of Azure AI services and the ability to build, manage, and deploy AI solutions using Microsoft Azure. This certification focuses on designing and implementing AI solutions that use machine learning models, natural language processing, computer vision, and other Azure AI services.

Skills & Knowledge Acquired

  • AI Solution Development:

    • Ability to design and implement AI solutions using services like Azure Machine Learning, Azure Cognitive Services, and Azure Bot Services.
    • Expertise in creating, training, and deploying machine learning models in Azure environments.
  • Machine Learning & AI Models:

    • Proficiency in building and operationalizing machine learning models.
    • Knowledge of supervised and unsupervised learning, model selection, and performance evaluation.
  • Azure AI Services Integration:

    • Strong understanding of integrating Azure AI services such as Cognitive Services for speech, vision, and language processing.
    • Utilizing Azure services to build AI-driven applications like chatbots, image recognition, and natural language understanding systems.
  • AI Lifecycle Management:

    • Experience with managing the lifecycle of AI solutions, from data preparation and model development to deployment and monitoring in Azure.
    • Familiarity with AI model versioning, scaling, and maintenance in production environments.

What the Certification Demonstrates

This certification validates that the individual:

  • Has advanced proficiency in designing, implementing, and deploying AI and machine learning solutions using Azure.
  • Can build AI models and integrate Azureโ€™s Cognitive Services for real-world applications.
  • Is capable of managing AI solutions throughout their lifecycle, including scaling and monitoring in Azure.

For more details, visit the Microsoft Azure AI Engineer Associate Certification Page.