Machine Learning Fundamentals
In this section, we dive into the fundamentals of machine learning. You will learn about various types of machine learning, including both supervised and unsupervised learning, and see practical examples such as regression, classification, and clustering. You’ll also gain hands-on experience with model training, explore deep learning techniques, and discover how Azure Machine Learning simplifies the development and deployment of AI/ML solutions.Azure AI Services
Next, we introduce the suite of Azure AI tools and services designed to empower you to quickly incorporate intelligence into your applications. In this module, you’ll also explore the essentials of Azure AI. This includes critical components such as Subscription, Resource Group, as well as various Azure compute services.Computer Vision with Azure
Step into the world of computer vision, where you’ll learn everything from the basics of image processing to advanced techniques using Convolutional Neural Networks. Azure’s computer vision capabilities will enable you to analyze and interpret visual data effectively. This module covers a range of features from face detection to optical character recognition (OCR) and includes hands-on experience with Vision Studio for testing and deploying vision-based applications.Natural Language Processing (NLP)
In the Natural Language Processing (NLP) section, you’ll explore techniques for text analytics and conversational AI. Learn how to harness Azure NLP services—including Language Studio and Speech Studio—to build applications that understand and respond to human language. Additionally, this module covers Azure AI Document Intelligence, which provides tools for document analysis and automated data extraction. Using Azure Document Intelligence, you can extract valuable insights from forms, contracts, and other documents.Azure AI Search and Generative AI
Learn how Azure AI Search enhances information retrieval through advanced knowledge mining and data enrichment techniques, making it easier to locate and use data efficiently. Generative AI, a revolutionary breakthrough in technology, is also a key focus of this course. You’ll explore how to train language models, integrate Microsoft Copilot services, and leverage Azure Generative AI tools to create and enhance applications with custom prompts and models. Azure OpenAI plays a central role by supporting advanced models and integrating seamlessly with the Azure ecosystem.Responsible Generative AI
This section underscores the importance of ethical AI practices. Tools like content filters help ensure that your AI solutions are safe, fair, and aligned with industry standards.
Useful Resources
- Microsoft Azure AI Fundamentals (AI-900)
- Azure Machine Learning
- Vision Studio
- Language Studio
- Microsoft Copilot