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Azure AI

Azure AI provides a comprehensive set of artificial intelligence and machine learning services to build intelligent applications. With Azure Cognitive Services, developers can easily integrate vision, speech, language, and decision-making capabilities into their apps. Azure Machine Learning enables data scientists and developers to build, train, and deploy machine learning models at scale. Azure AI also includes services like Azure Bot Service and Azure Cognitive Search, allowing developers to create conversational interfaces and intelligent search experiences. By leveraging Azure AI, businesses can unlock new insights, automate processes, and create innovative solutions.

  • 4 weeks
  • 40 lessons
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Azure AI fundamentals

  •  Cognitive Services: Understanding Azure Cognitive Services, such as Computer Vision, Natural Language Processing, and Speech Services.
  • Machine Learning: Introduction to Azure Machine Learning, including building, training, and deploying machine learning models.
  •  AI Workloads: Overview of common AI workloads, such as knowledge mining, bot development, and predictive analytics.
  • Responsible AI: Understanding the importance of responsible AI practices, including fairness, transparency, and accountability.

Design and implement azure AI solutions

  •  Solution Architecture: Designing scalable and secure AI solutions using Azure services like Azure Cognitive Services, Azure Machine Learning, and Azure Kubernetes Service.
  •  Model Development: Building, training, and deploying machine learning models using Azure Machine Learning, including data preparation, feature engineering, and model evaluation.
  •  Cognitive Services Integration: Integrating Azure Cognitive Services, such as Computer Vision, Natural Language Processing, and Speech Services, into applications.
  •  Data Management: Managing data for AI solutions, including data ingestion, storage, and processing using Azure services like Azure Data Lake Storage and Azure Databricks.
  •  Security and Compliance: Ensuring the security and compliance of AI solutions, including data encryption, access controls, and regulatory compliance