Microsoft AI

Overview: This course covers the Microsoft AI ecosystem, focusing on Azure AI services, cognitive services, and how to build intelligent applications with Microsoft’s tools.

Module 1: Introduction to Microsoft AI

• What is Microsoft AI?
  • Overview of Microsoft’s AI and its cloud services.
  • Understanding Azure AI and its components.
• Azure Machine Learning
  • Setting up and using Azure Machine Learning.
  • Understanding pipelines, datasets, and models.
  • Deploying machine learning models in the cloud.

Module 2: Cognitive Services

• Overview of Cognitive Services
  • Introduction to APIs for vision, speech, language, and decision-making.
  • Key cognitive services: Computer Vision, Text Analytics, Speech API, Translator, and Custom Vision.
• Working with Language APIs
  • Sentiment analysis, language detection, and translation.
  • Text summarization and keyword extraction.
  • Using the QnA Maker for building intelligent bots.

Module 3: Building Intelligent Applications

• Building Chatbots with Azure Bot Service
  • Introduction to the Bot Framework and Azure Bot Services.
  • Building a simple customer support chatbot.
  • Integrating NLP and decision models.
• AI in Productivity
  • Using AI to enhance Office 365 tools.
  • Power BI integration for AI-powered insights.
  • Customizing business processes with AI.

Module 4: Deep Learning and Neural Networks

• Deep Learning with Azure
  • Building deep learning models using TensorFlow and PyTorch.
  • Leveraging Azure Machine Learning for neural networks.
  • Customizing pre-trained models.

Module 5: Real-World Applications and Case Studies

• AI in Healthcare
  • Analyzing medical images using Azure AI.
  • Predictive analytics for patient care.
• AI for Business and Automation
  • Automating customer service with AI.
  • Intelligent decision-making with AI-powered insights.

Module 6: Deployment and Best Practices

• Deploying AI Models
  • Using Azure Kubernetes Service (AKS) for model deployment.
  • Continuous integration and continuous deployment (CI/CD) for AI models.
  • Ensuring AI model security and governance.