Introduction to AI in Azure (AI-901T00)
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Cloud Architect, AI Engineer
On-Site, Virtual
1 day
This course introduces fundamental concepts related to artificial intelligence (AI), and the services in Microsoft Azure that can be used to create AI solutions. It teaches a mix of AI concepts and technology skills that are considered foundational to a successful career implementing AI solutions on Microsoft Azure.
Course objectives
- Understand foundational AI concepts and responsible AI practices.
- Describe different types of machine learning and their applications.
- Explore generative AI and prompt engineering techniques.
- Learn to use Azure AI services for NLP, speech, and computer vision.
- Analyze text, speech, and image data using Azure AI Foundry.
- Understand information extraction and AI-powered search solutions.
Audience
This course is for aspiring technology professionals at the beginning of their career in AI solution development. Some knowledge of Python coding syntax and programming techniques is useful. Additionally, knowledge of core cloud concepts, including cloud storage, cloud compute, and cloud-based authentication and authorization, is recommended.
Course outline
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Introduction to AI
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Generative AI and agents
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Text and natural language
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Speech
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Computer vision
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Information extraction
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Responsible AI
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Exercise - Explore AI workloads
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Describe core concepts of generative AI
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Explain how large language models (LLMs) work
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Consider how to create effective prompts for LLMs
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Describe core concepts of agents and agentic AI solutions
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Tokenization
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Statistical text analysis
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Semantic language models
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Exercise - Explore text analytics
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Identify different scenarios for AI speech
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Describe how speech recognition works
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Describe how speech synthesis works
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Identify different types of computer vision tasks
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Describe how filters are used in image analysis
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Describe the main features of a convolutional neural network (CNN)
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Describe the main features of a vision transformer (ViT)
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Describe how generative AI can be used to create images
- Understand the key concepts of information extraction
- Describe how optical character recognition (OCR) extracts text from images
- Explain how form extraction maps extracted text to data fields
- Understand Azure
- Developing AI apps on Azure
- Microsoft Foundry for AI
- Using Microsoft Foundry endpoints
- Exercise - Get started with Microsoft Foundry
- Describe how an agent encapsulates model behavior using system instructions and tools
- Identify the right model for a task using the Foundry model catalog
- Deploy a model in the Foundry portal and replicate Playground settings in code
- Create and test an agent in the Foundry portal
- Use an agent in the Playground to validate prompts and behavior
- Call an agent from code using the Foundry Project API
- Understand text analysis in Foundry
- Create a client application that analyzes text
- Use Azure Language with an agent
- Exercise - Get started with text analysis in Microsoft Foundry
- Learn to use Azure Speech’s speech-to-text API for speech recognition
- Learn to use Azure Speech’s text-to-speech API for speech synthesis
- Learn to use Azure Speech’s Voice Live capabilities
- Learn about multimodal models for image analysis
- Understand image generation capabilities
- Understand video generation capabilities
- Identify Foundry Tools for information extraction
- Describe Azure Vision information extraction capabilities
- Describe Azure Content Understanding information extraction capabilities
- Describe Azure Document Intelligence information extraction capabilities
- Describe Azure AI Search information extraction capabilities
