Easier AI Allows Everyone to Build Smart Apps

Overview

Learn to leverage Microsoft cognitive services for AI-powered applications, including Computer Vision, Language Understanding, and Speech, without extensive data science expertise.

Syllabus

• Introduction to AI and Microsoft Cognitive Services
Understanding AI and its impact
Overview of Microsoft Cognitive Services
Setup and prerequisites for using Microsoft Cognitive Services
• Computer Vision
Introduction to Computer Vision API
Image recognition and analysis
Practical applications and use cases
Hands-on lab: Building an image classification app
• Language Understanding (LUIS)
Introduction to Language Understanding
Designing and training language models
Practical applications and use cases
Hands-on lab: Building a conversational chatbot
• Speech Services
Introduction to Speech API
Speech recognition and synthesis
Practical applications and use cases
Hands-on lab: Implementing speech-to-text and text-to-speech
• Integrating Cognitive Services into Applications
API integration techniques
Best practices for AI-powered apps
Hands-on lab: Creating a smart application using multiple services
• Ethical Considerations and Responsible AI
Understanding AI ethics and bias
Guidelines for responsible AI development
Ensuring privacy and security in AI applications
• Conclusion and Next Steps
Summary of key concepts
Resources for further learning
Opportunities for AI innovation and careers

Subjects

Conference Talks