In the Introduction to Artificial Intelligence and Machine Learning in Azure training course, you'll learn:
Introduction to Artificial Intelligence and Machine Learning in Azure
- Overview of Azure's AI and ML capabilities.
- Importance of AI and ML in modern applications.
- Introduction to Cognitive Services and custom machine learning models.
Exploring Cognitive Services
- Overview of Cognitive Services.
- Introduction to various categories of Cognitive Services.
- Natural language understanding and processing.
- Understanding images and videos.
- Speech recognition and synthesis.
- Knowledge mining and management.
- Search: Intelligent search capabilities.
- Use cases and scenarios for each category.
- Hands-on Labs: Building with Cognitive Services
Introduction to Machine Learning
- Fundamentals of machine learning.
- Overview of Azure Machine Learning service.
- Understanding supervised and unsupervised learning.
Data Science Virtual Machines
- Introduction to Data Science Virtual Machines (DSVM).
- Setting up DSVM for machine learning experimentation.
- Exploring pre-configured environments for data science and machine learning tasks.
- Creating and managing machine learning experiments.
- Training and evaluating machine learning models using drag-and-drop interface.
- Hands-on Labs: Working with Machine Learning Studio
Modeling in Machine Learning Studio
- Advanced features of Azure Machine Learning Studio.
- Building custom machine learning pipelines.
- Deploying and managing machine learning models in production.
- Monitoring and retraining models for ongoing improvement.
- Hands-on Lab: Modeling in Machine Learning Studio
