Azure AI-102 Course in Hyderabad | Best Microsoft Azure AI

1
Key Features of Azure Cognitive Services

• Subtitle Unlocking AI Capabilities for
  Intelligent Applications

2
Introduction to Azure Cognitive Services

• Definition A suite of AI-powered APIs by
  Microsoft for building intelligent applications.
• Purpose Enables developers to integrate vision,
  speech, language, decision-making, and search
  capabilities into applications.
• Key Benefit No need for deep AI expertisesimple
  API integration for AI-powered solutions.

3
Categories of Azure Cognitive Services

• Vision Image and video analysis, face
  recognition.
• Speech Speech recognition, synthesis, and
  translation.
• Language Text analytics, translation,
  conversational AI.
• Decision AI-driven recommendations and anomaly
  detection.
• Search AI-powered search with Bing APIs.

4
Vision Services

• Computer Vision Extracts information from images
  and videos.
• Face API Detects, identifies, and analyzes human
  faces.
• Custom Vision Trains custom models for specific
  image recognition tasks.
• Form Recognizer Extracts data from documents
  like invoices and receipts.

5
Speech Services

• Speech-to-Text Converts spoken language into
  text.
• Text-to-Speech Generates natural-sounding speech
  from text.
• Speech Translation Translates speech into
  multiple languages in real time.
• Speaker Recognition Identifies and verifies
  individual speakers.

6
Language Services

• Text Analytics Detects sentiment, key phrases,
  and named entities.
• Translator Provides real-time language
  translation.
• QnA Maker Creates AI-powered question-and-answer
  bots.
• Language Understanding (LUIS) Develops natural
  language models for applications.

7
Decision Search Services

• Decision Services
• Anomaly Detector Identifies irregular patterns
  in data.
• Personalizer Delivers personalized
  recommendations using AI.
• Search Services
• Bing Search APIs Enables intelligent web
  searches.
• Azure Cognitive Search AI-driven search
  capabilities for applications.

8
Benefits of Azure Cognitive Services

• Pre-Built AI Models No AI expertise needed for
  implementation.
• Seamless Integration Works with various
  programming languages and platforms.
• Scalability Performance Supports large-scale
  applications with cloud-based AI.
• Security Compliance Ensures data privacy and
  adheres to global regulations.
• Multi-Language Support Enables AI-driven
  communication across languages.

9
Conclusion Next Steps

• Azure Cognitive Services empower businesses with
  AI-driven capabilities.
• Helps developers build intelligent applications
  with minimal effort.
• Next Steps Explore services via Azure Portal,
  test APIs, or integrate AI into your projects.
• QA session.

10
Thank You
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