Learning objectives - Azure Tutorial

Contents

• Introduction Introduction

  • Exam AI-102: Introduction

    5m 30s
• 1. Plan Azure AI Solutions 1. Plan Azure AI Solutions

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    Learning objectives

    39s
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    Identify appropriate Azure AI services for business scenarios

    7m 13s
  • Evaluate solution constraints (cost, compliance, scalability)

    17m 22s
• 2. Design AI Architectures 2. Design AI Architectures

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    Learning objectives

    39s
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    Plan AI solution architecture to meet business requirements

    3m 43s
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    Configure services for optimal performance

    14m 7s
• 3. Manage and Secure AI Solutions 3. Manage and Secure AI Solutions

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    Learning objectives

    37s
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    Implement monitoring and logging for AI services

    6m 13s
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    Apply security best practices to Azure AI workloads

    15m 19s
• 4. Moderate Text Content 4. Moderate Text Content

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    Learning objectives

    37s
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    Use Azure AI Content Safety for text moderation

    2m 26s
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    Automate workflows for compliance reviews

    14m 13s
• 5. Moderate Image Content 5. Moderate Image Content

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    Learning objectives

    37s
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    Implement image moderation using Azure AI services

    2m 26s
  • Optimize visual content review processes

    16m 37s
• 6. Analyze Images with Prebuilt Models 6. Analyze Images with Prebuilt Models

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    Learning objectives

    38s
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    Use Azure AI Vision for object detection and analysis

    2m 22s
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    Detect objects and generate image tags with Azure AI Vision

    15m
• 7. Create Custom Computer Vision Models 7. Create Custom Computer Vision Models

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    Learning objectives

    37s
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    Train and deploy custom vision models

    5m 11s
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    Test and optimize models for domain-specific tasks

    14m 6s
• 8. Analyze Video Content 8. Analyze Video Content

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    Learning objectives

    39s
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    Implement video indexing and analysis using Azure services

    4m 40s
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    Extract actionable insights from video content

    15m 18s
• 9. Process Text with Azure AI Language 9. Process Text with Azure AI Language

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    Learning objectives

    39s
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    Perform sentiment analysis and extract key phrases

    4m 15s
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    Perform text analysis with sentiment, key phrases, and more

    17m 59s
• 10. Build Conversational AI with Bots 10. Build Conversational AI with Bots

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    Learning objectives

    37s
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    Deploy bots using Azure Bot Service

    7m 28s
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    Integrate question answering and custom intent models

    18m 29s
• 11. Implement Speech-to-Text Solutions 11. Implement Speech-to-Text Solutions

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    Learning objectives

    39s
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    Use Azure Speech to convert speech to text

    3m 39s
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    Optimize transcription models for accuracy

    14m 44s
• 12. Deploy Text-to-Speech Solutions 12. Deploy Text-to-Speech Solutions

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    Learning objectives

    39s
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    Implement text-to-speech solutions for multilingual applications

    4m 27s
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    Customize voice synthesis using Azure Speech and SSML

    16m
• 13. Translate and Localize Content 13. Translate and Localize Content

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    Learning objectives

    37s
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    Use Azure Translator for multilingual scenarios

    2m 10s
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    Integrate translation services into applications

    17m 59s
• 14. Deploy Knowledge-Mining Solutions 14. Deploy Knowledge-Mining Solutions

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    Learning objectives

    36s
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    Configure Azure Cognitive Search for knowledge discovery

    4m 59s
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    Optimize search indexing and relevance

    17m 38s
• 15. Extract Data from Documents 15. Extract Data from Documents

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    Learning objectives

    37s
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    Use Azure Form Recognizer for structured data extraction

    4m 11s
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    Automate document processing and integrate document intelligence

    12m 9s
• 16. Leverage Azure OpenAI Services 16. Leverage Azure OpenAI Services

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    Learning objectives

    43s
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    Use GPT models for text generation and summarization

    5m 43s
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    Use Azure OpenAI Service models for text, code, and image generation

    2m 32s
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    Use Azure OpenAI Assistant and Azure AI Agent Service

    19m 56s
• 17. Optimize Generative AI Models 17. Optimize Generative AI Models

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    Learning objectives

    35s
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    Customize pre-trained models for unique use cases

    4m 18s
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    Integrate generative AI into applications

    2m 42s
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    Use Semantic Kernel and Autogen in agent workflows

    14m 43s
• 18. Implement Responsible AI Practices 18. Implement Responsible AI Practices

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    Learning objectives

    38s
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    Ensure fairness and transparency in AI solutions

    5m 12s
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    Meet compliance requirements with privacy and security measures

    10m
• 19. Monitor and Optimize Azure AI Solutions 19. Monitor and Optimize Azure AI Solutions

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    Learning objectives

    45s
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    Instrument services with diagnostics

    5m 24s
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    Govern cost with workbooks and alerts

    2m 30s
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    Auto-scale and update container deployments

    2m 59s
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    Trace, collect feedback, and reflect models

    12m 18s
• 20. Prepare for the AI-102 Exam 20. Prepare for the AI-102 Exam

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    Learning objectives

    38s
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    Use Microsoft Learn, practice tests, and sandboxes

    4m 36s
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    Study tips and common pitfalls

    7m 15s
• Conclusion Conclusion

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    Exam AI-102 summary

    2m 34s