Machine Learning for Muggles

Overview

Explore Azure Machine Learning and Cognitive Services APIs to implement AI capabilities in applications through simple REST calls, making AI more accessible to developers.

Syllabus

• Introduction to Machine Learning
Overview of Machine Learning concepts
Types of machine learning: supervised, unsupervised, reinforcement
• Introduction to Azure Machine Learning
Setting up an Azure account
Navigating the Azure Machine Learning workspace
• Understanding and Utilizing Azure Cognitive Services
Overview of Cognitive Services
Introduction to key Cognitive Services APIs: Vision, Speech, Language, and Decision
• Implementing AI with REST APIs
Basics of RESTful services
Making API calls using tools like Postman
• Hands-On with Azure Cognitive Services APIs
Setting up an environment to test APIs
Vision API: Image analysis and recognition
Speech API: Speech-to-text and text-to-speech
Language API: Text analytics and understanding
Decision API: Recommendations and personalization
• Integrating Azure ML Capabilities into Applications
Building simple applications using REST calls
Case studies: Adding AI capabilities to everyday applications
• Best Practices and Ethical Considerations in AI
Security and privacy in AI
Ethical considerations when deploying AI solutions
• Final Project
Designing and implementing a small AI-enhanced application
Demonstration and presentation of key learnings and outcomes

Subjects

Conference Talks