Learning objectives - Azure AI Services Tutorial

Contents

• Introduction Introduction

  • Introduction

    3m 17s
• 1. Identify Features of Common AI Workloads 1. Identify Features of Common AI Workloads

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    Learning objectives

    20s
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    Identify features of content moderation and personalization workloads

    3m 32s
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    Identify computer vision workloads

    1m 45s
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    Identify natural language processing workloads

    1m 51s
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    Identify knowledge mining workloads

    1m 1s
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    Identify document intelligence workloads

    1m 55s
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    Identify features of generative AI workloads

    13m 25s
• 2. Identify Guiding Principles for Responsible AI 2. Identify Guiding Principles for Responsible AI

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    Learning objectives

    19s
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    Describe considerations for fairness in an AI solution

    1m 58s
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    Describe considerations for reliability and safety in an AI solution

    1m 23s
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    Describe considerations for privacy and security in an AI solution

    1m 14s
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    Describe considerations for inclusiveness in an AI solution

    1m 8s
  • Describe considerations for transparency in an AI solution

    1m 57s
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    Describe considerations for accountability in an AI solution

    14m 3s
• 3. Identify Common Machine Learning Techniques 3. Identify Common Machine Learning Techniques

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    Learning objectives

    13s
  • Identify regression machine learning scenarios

    4m 24s
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    Identify classification machine learning scenarios

    1m 30s
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    Identify clustering machine learning scenarios

    59s
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    Identify features of deep learning techniques

    13m 37s
• 4. Describe Azure Machine Learning Capabilities 4. Describe Azure Machine Learning Capabilities

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    Learning objectives

    21s
  • Identify features and labels in a dataset for machine learning

    2m 14s
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    Describe how training and validation datasets are used in machine learning

    1m 41s
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    Describe capabilities of automated machine learning

    1m 50s
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    Describe data and compute services for data science and machine learning

    3m 4s
  • Describe model management and deployment capabilities in Azure Machine Learning

    10m 10s
• 5. Identify Common Types of Computer Vision Solutions 5. Identify Common Types of Computer Vision Solutions

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    Learning objectives

    18s
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    Identify features of image classification solutions

    1m 20s
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    Identify features of object detection solutions

    1m 56s
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    Identify features of optical character recognition solutions

    1m 9s
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    Identify features of facial detection and facial analysis solutions

    1m 45s
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    Describe capabilities of the Azure AI Vision service

    1m 42s
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    Describe capabilities of the Azure AI Face detection service

    11m 40s
• 6. Identify Features of Common NLP Workload Scenarios 6. Identify Features of Common NLP Workload Scenarios

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    Learning objectives

    20s
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    Identify features and uses for key phrase extraction

    1m 6s
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    Identify features and uses for entity recognition

    1m 50s
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    Identify features and uses for sentiment analysis

    1m 8s
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    Identify features and uses for language modeling

    1m 52s
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    Identify features and uses for speech recognition and synthesis

    58s
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    Identify features and uses for translation

    53s
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    Describe capabilities of the Azure AI language service

    2m 13s
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    Describe capabilities of the Azure AI speech service

    9m 57s
• 7. Identify Features of Generative AI Solutions 7. Identify Features of Generative AI Solutions

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    Learning objectives

    14s
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    Identify features of generative AI models

    5m 9s
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    Identify common scenarios for generative AI

    1m 43s
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    Identify responsible AI considerations for generative AI

    11m 54s
• 8. Identify Capabilities of Azure OpenAI Service 8. Identify Capabilities of Azure OpenAI Service

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    Learning objectives

    15s
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    Describe natural language generation capabilities of Azure OpenAI Service

    1m 5s
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    Describe code generation capabilities of Azure OpenAI Service

    2m 14s
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    Describe image generation capabilities of Azure OpenAI Service

    13m 49s
• Summary Summary

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    Next steps

    1m 36s