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Top 10 AI Edge Engineer Modules by Microsoft
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.
Learning objectives
In this module, you'll learn about the kinds of solutions AI can make possible and considerations for responsible AI practices.
2: Fundamentals of Azure AI services
In this module, you learn the fundamentals of how Azure AI services can be used to build applications.
Learning objectives
- Understand applications Azure AI services can be used to build
- Understand how to access Azure AI services in the Azure portal
- Understand how to use Azure AI services keys and endpoint for authentication
- Create and use an Azure AI services resource in a Content Safety Studio setting
3: 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.
Learning objectives
Learn how to read text in images with Azure AI Vision.
4: Fundamentals of Responsible Generative AI
Generative AI enables amazing creative solutions, but must be implemented responsibly to minimize the risk of harmful content generation.
Learning objectives
- By the end of this module, you'll be able to:
- Describe an overall process for responsible generative AI solution development
- Identify and prioritize potential harms relevant to a generative AI solution
- Measure the presence of harms in a generative AI solution
- Mitigate harms in a generative AI solution
- Prepare to deploy and operate a generative AI solution responsibly
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.
Learning objectives
Learn how to use Azure AI Face service to detect and analyze faces in images.
6: Introduction to prompt engineering with GitHub Copilot
Discover the essentials of creating effective prompts with GitHub Copilot. Uncover techniques to transform your coding comments into precise, actionable code, enhancing your development workflow.
Learning objectives
- By the end of this module, you'll be able to:
- Craft effective prompts that optimize GitHub Copilot's performance, ensuring precision and relevance in every code suggestion.
- Understand the intricate relationship between prompts and Copilot's responses, and utilize best practices in prompt engineering.
- Gain insights into the underlying mechanism of how GitHub Copilot handles user prompts, from secure transmission to content filtering and context analysis.
7: 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.
Learning objectives
After completing this module, you'll be able to understand how to use Azure AI Language and Azure AI Bot Service to create a bot.
8: Introduction to GitHub Copilot
GitHub Copilot uses the OpenAI Codex to suggest code and entire functions in real-time, right from your editor.
Learning objectives
- In this module, you will:
- Understand how GitHub Copilot can help you code by offering autocomplete-style suggestions.
- Comprehend the differences between GitHub Copilot Individual, Business, and Enterprise.
- Learn how to configure GitHub Copilot.
- Troubleshoot GitHub Copilot.
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.
Learning objectives
- In this module, you'll:
- Learn what conversational language understanding is.
- Learn about key features, such as intents and utterances.
- Build and publish a natural-language machine-learning model.
10: 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.
Learning objectives
Learn how to use the Azure AI Vision service to analyze images.
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