Chapter 1: Introduction to AI Concepts
- Explore core AI topics including generative AI, computer vision, speech, natural language processing, and responsible AI.
Chapter 2: Introduction to Machine Learning Concepts
- Understand machine learning types, regression, classification, clustering, deep learning, and transformers.
Chapter 3: Get Started with Machine Learning in Azure
- Learn to define problems, prepare data, train models, and use Azure Machine Learning Studio.
Chapter 4: Introduction to Generative AI Concepts
- Discover how language models and transformers generate original content and apply responsible practices.
Chapter 5: Get Started with Generative AI in Azure
- Use Azure AI Foundry’s tools, model catalog, and playgrounds to build generative AI apps.
Chapter 6: Introduction to Natural Language Processing Concepts
- Learn the fundamentals of NLP, from statistical techniques to semantic models.
Chapter 7: Get Started with Natural Language Processing in Azure
- Apply Azure AI Language services for sentiment analysis, conversational AI, and translation.
Chapter 8: Get Started with Speech in Azure
- Recognize and synthesize speech with Azure AI Speech services.
Chapter 9: Introduction to Computer Vision Concepts
- Explore image processing, modern vision models, and machine learning for vision.
Chapter 10: Get Started with Computer Vision in Azure
- Use Azure AI Vision services to analyze images and detect faces.
Chapter 11: Introduction to AI-Powered Information Extraction Concepts
- Understand how to extract data from images, forms, and multimodal sources.
Chapter 12: Get Started with AI-Powered Information Extraction in Azure
- Use Azure AI services to extract insights, build knowledge mining solutions, and analyze documents.