Microsoft Cognitive Services - Making AI Easy

Overview

Explore 20+ Cognitive Services APIs for AI-powered applications, including object recognition, speech processing, and language understanding. Learn implementation techniques and gain inspiration for intelligent app development.

Syllabus

• Introduction to Microsoft Cognitive Services
Overview of Cognitive Services
Benefits of using Cognitive Services in applications
• Vision APIs
Computer Vision API
Object and image recognition
Image analysis and tagging
Face API
Face detection and verification
Emotion recognition
Video Indexer
Video processing and annotation
• Speech APIs
Speech-to-Text
Real-time transcription
Speech recognition customization
Text-to-Speech
Generating natural-sounding speech
Voice customization
Speaker Recognition
Identifying individual speakers
• Language APIs
Text Analytics
Sentiment analysis
Language detection and key phrase extraction
Translator
Real-time translation
Multiple language support
Language Understanding (LUIS)
Building custom language models
Intent and entity recognition
• Decision APIs
Personalizer
Contextual experiences
Real-time decision-making
Content Moderator
Text, image, and video moderation
Filtering inappropriate content
Anomaly Detector
Detecting anomalies in time-series data
• Implementation Techniques
Integrating with applications
Handling API calls and responses
Managing API keys and authentication
• Application Development
Designing AI-powered applications
Best practices in AI integration
Case studies and real-world examples
• Inspiration and Future Trends
Emerging trends in AI and Cognitive Services
Innovative use cases and project ideas
• Conclusion and Next Steps
Resources for further learning
Building a project portfolio with Cognitive Services

Subjects

Conference Talks