Easier AI Allows Everyone to Build Smart Apps

Overview

Discover how to leverage Microsoft's Cognitive Services to build smart apps with AI capabilities, including computer vision, language understanding, and speech recognition.

Syllabus

• Introduction to AI in Applications
Overview of AI and its impact on app development
Introduction to Microsoft's Cognitive Services
• Getting Started with Cognitive Services
Setting up an Azure account
Overview of Cognitive Services APIs
• Computer Vision
Introduction to Computer Vision capabilities
Implementing image analysis in apps
Building apps with object and facial recognition
• Natural Language Processing (NLP)
Understanding language understanding APIs
Sentiment analysis and text analytics
Building apps with language translation capabilities
• Speech Recognition and Synthesis
Overview of speech-to-text and text-to-speech services
Integrating speech recognition into apps
Creating voice-controlled interfaces
• Practical Application Integration
Designing user-friendly smart app interfaces
Case studies of successful AI-powered apps
Best practices for integrating AI into existing applications
• Security and Ethical Considerations in AI Apps
Addressing privacy and data security concerns
Ethical implications of using AI technologies
• Future Trends in AI and App Development
Emerging AI technologies and their impact
Preparing for future advancements in AI-driven applications
• Final Project
Developing a smart app using Cognitive Services
Presentation and peer review of final projects
• Course Wrap-Up
Review of key concepts
Resources for continued learning in AI application development

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Subjects

Conference Talks