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Starts 3 June 2025 22:47

Ends 3 June 2025

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Azure AI Services: Introduction

You'll learn the fundamentals of Microsoft's Azure AI Services. This includes understanding the range of AI capabilities offered, such as computer vision, language processing, and machine learning, and how they can be applied in various solutions.
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Microsoft

500 Courses


2 weeks, 2-3 hours a week

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Overview

This course is designed to provide a comprehensive introduction to Microsoft's Azure AI Services. It serves as a starting point for understanding the broad spectrum of artificial intelligence capabilities that Azure offers.

You will gain foundational knowledge about the various AI services available, learning what each one is intended for and the types of AI functionalities they provide. Expect to explore key areas such as computer vision, which enables machines to "see" and interpret images, natural language processing, which allows computers to understand and generate human language, and machine learning, which empowers systems to learn from data and make predictions.

The content will give you a sense of how these services can be applied in real-world scenarios, helping you grasp the potential of Azure AI for solving various problems and enhancing applications. Essentially, you'll walk away with a solid overview of the Azure AI landscape, ready to dive deeper into specific services as needed.

Syllabus

  • Course Introduction
  • Overview of Azure AI Services
    Learning Objectives
  • Introduction to Azure
  • Basics of Microsoft Azure
    Navigating the Azure Portal
  • Understanding Azure AI Capabilities
  • Overview of AI Services
    Key Areas of Azure AI
  • Computer Vision with Azure
  • Introduction to Azure Computer Vision
    Basic Concepts: Image Analysis and Processing
    Real-world Applications and Use Cases
  • Natural Language Processing (NLP) in Azure
  • Understanding Azure Cognitive Services for NLP
    Text Analytics and Language Understanding
    Applications of NLP in Industry
  • Machine Learning with Azure
  • Introduction to Azure Machine Learning
    Creating and Training Machine Learning Models
    Deployment and Maintenance of ML Solutions
  • Integrating Azure AI Services
  • Overview of Azure AI Integration Options
    Combining Multiple AI Services
    Best Practices and Strategies
  • Practical Application and Case Studies
  • Real-world Scenarios and Problem Solving
    Case Studies: Successful Implementations of Azure AI
  • Conclusion and Next Steps
  • Summary of Key Learnings
    Resources for Further Study
    Certification Pathways and Career Opportunities in Azure AI
  • Q&A and Course Wrap-up

Subjects

Programming