

Azure AI Essentials
Overview:
Introduction:
This training program is designed to provide participants with a comprehensive understanding of the fundamentals of Artificial Intelligence (AI) using Azure AI services. It covers core concepts, tools, and best practices for developing AI solutions on the Azure platform, enabling participants to leverage AI to solve real-world problems.
Program Objectives:
By the end of this program, participants will be able to:
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Understand key AI concepts and terminology.
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Navigate and utilize Azure AI services effectively.
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Implement machine learning models using Azure.
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Develop and deploy AI solutions in Azure.
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Apply best practices for ethical AI and data management.
Target Audience:
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Data scientists and analysts.
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Software developers interested in AI.
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IT professionals looking to expand their knowledge in Azure AI.
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Business analysts seeking to leverage AI in decision-making.
Program Outline:
Unit 1:
Introduction to AI and Azure AI:
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Overview of Artificial Intelligence: Definitions and types (Narrow AI vs. General AI).
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Key concepts in AI: Machine Learning, Deep Learning, and Natural Language Processing (NLP).
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Introduction to Azure AI: Overview of available services and tools.
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Benefits of using Azure for AI solutions.
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Understanding the AI lifecycle and project workflow.
Unit 2:
Azure Machine Learning:
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Introduction to Azure Machine Learning: Features and capabilities.
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Creating an Azure Machine Learning workspace.
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Understanding data preparation and exploration using Azure ML Studio.
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Training and evaluating machine learning models.
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Deploying models as web services in Azure.
Unit 3:
Natural Language Processing with Azure:
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Overview of Natural Language Processing and its applications.
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Introduction to Azure Cognitive Services for NLP.
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Implementing text analytics using Azure Text Analytics API.
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Building chatbots with Azure Bot Services.
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Ethical considerations in NLP applications.
Unit 4:
Computer Vision with Azure:
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Introduction to computer vision concepts and applications.
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Overview of Azure Computer Vision services.
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Implementing image recognition and object detection using Azure.
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Analyzing video content with Azure Video Analyzer.
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Best practices for data privacy in computer vision projects.