Please review the prerequisites listed for each module in the course content and click on the provided links for more information.
This course is designed for anyone interested in learning about the types of solutions artificial intelligence (AI) makes possible, and the services on Microsoft Azure that you can use to create them. You don’t need to have any experience of using Microsoft Azure before taking this course, but a basic level of familiarity with computer technology and the Internet is assumed. Some of the concepts covered in the course require a basic understanding of mathematics, such as the ability to interpret charts. The course includes hands-on activities that involve working with data and running code, so a knowledge of fundamental programming principles will be helpful.
1. Fundamental AI Concepts
With AI, we can build solutions that seemed like science fiction a short time ago; enabling incredible advances in health care, financial management, environmental protection, and other areas to make a better world for everyone.
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2. Fundamentals of machine learning
Machine learning is the basis for most modern artificial intelligence solutions. A familiarity with the core concepts on which machine learning is based is an important foundation for understanding AI.
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3. Fundamentals of Azure AI services
In this module, you learn the fundamentals of how Azure AI services can be used to build applications.
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4. Fundamentals of Computer Vision
Azure AI Vision service enables software engineers to create intelligent solutions that extract information from images; a common task in many artificial intelligence (AI) scenarios.
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5. Fundamentals of Facial Recognition
Face detection, analysis, and recognition are important capabilities for artificial intelligence (AI) solutions. Azure AI Face service in Azure makes it easy integrate these capabilities into your applications.
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6. Fundamentals of optical character recognition
Optical character recognition (OCR) enables artificial intelligence (AI) systems to read text in images, enabling applications to extract information from photographs, scanned documents, and other sources of digitized text.
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7. Fundamentals of Text Analysis with the Language Service
Explore Azure AI Language’s natural language processing (NLP) features, which include sentiment analysis, key phrase extraction, named entity recognition, and language detection.
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8. Fundamentals of question answering with the Language Service
Create a custom question answering knowledge base with Azure AI Language and create a bot with Azure AI Bot Service that answers user questions.
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9. Fundamentals of conversational language understanding
In this module, we introduce you to conversational language understanding, and show how to create applications that understand language with Azure AI Language.
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10. Fundamentals of Azure AI Speech
Learn how to recognize and synthesize speech by using Azure AI Speech.
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11. Fundamentals of Azure AI Document Intelligence
Document processing is a common task in many business scenarios. Organizations can use Azure AI Document Intelligence to automate data extraction across document types, such as receipts, invoices, and more.
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12. Fundamentals of Knowledge Mining and Azure AI Search
Use Azure AI Search to make your data searchable.
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13. Fundamentals of Generative AI
In this module you’ll explore the way in which large language models (LLMs) enable AI applications and services to generate original content based on natural language input. You’ll also learn how generative AI enables the creation of AI-powered copilots that can assist humans in creative tasks.
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14. Fundamentals of Azure OpenAI Service
Get to know the connection between artificial intelligence (AI), Responsible AI, and text, code, and image generation. Understand how you can use Azure OpenAI to build solutions against AI models within Azure.
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15. Fundamentals of Responsible Generative AI
Generative AI enables amazing creative solutions, but must be implemented responsibly to minimize the risk of harmful content generation.
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