This course introduces fundamentals concepts related to artificial intelligence (AI), and the services in Microsoft Azure that can be used to create AI solutions. The course is not designed to teach students to become professional data scientists or software developers, but rather to build awareness of common AI workloads and the ability to identify Azure services to support them. The course is designed as a blended learning experience that combines instructor-led training with online materials on the Microsoft Learn platform (https://azure.com/learn). The hands-on exercises in the course are based on Learn modules, and students are encouraged to use the content on Learn as reference materials to reinforce what they learn in the class and to explore topics in more depth.
Original price was: $ 499.00.$ 247.00Current price is: $ 247.00.
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Course Outline
1. Introduction to AI Concepts
• Generative AI and agents
• Text and natural language
• Speech
• Computer vision
• Information extraction
• Responsible AI
• Exercise – Explore a simple AI agent
2. Get Started with Microsoft Foundry
• What is an AI application
• Components of an AI application
• Microsoft Foundry for AI
• Get started with Foundry
• Understand Azure
• Exercise – Get started with Microsoft Foundry
3. Introduction to Machine Learning Concepts
• Machine learning models
• Types of machine learning models
• Regression
• Binary classification
• Multiclass classification
• Clustering
• Deep learning
• Exercise – Explore machine learning scenarios
4. Get Started with Machine Learning in Azure
• Define the problem
• Get and prepare data
• Train the model
• Use Azure Machine Learning studio
• Integrate a model
• Exercise – Explore Automated Machine Learning in Azure Machine Learning
5. Introduction to Generative AI and Agents
• Large language models (LLMs)
• Prompts
• AI agents
• Exercise – Explore generative AI agent scenarios
6. Get Started with Generative AI and Agents in Microsoft Foundry
• Understand generative AI applications
• Understand generative AI development in Foundry
• Understand Foundry’s model catalog
• Understand Foundry capabilities
• Understand observability
• Exercise – Get started with generative AI and agents in Microsoft Foundry
7. Natural Language Processing Concepts
• Tokenization
• Statistical text analysis
• Semantic language models
• Exercise – Explore text analytics
8. Get Started with Natural Language Processing in Microsoft Foundry
• Understand natural language processing on Azure
• Understand Azure Language text analysis capabilities
• Azure Language conversational AI capabilities
• Azure Translator capabilities
• Get started in Microsoft Foundry
• Exercise – Get started with text analysis in Microsoft Foundry
9. AI Speech Concepts
• Speech-enabled solutions
• Speech recognition
• Speech synthesis
• Exercise – Explore an AI speech scenario
10. Get Started with Speech in Microsoft Foundry
• Understand speech recognition and synthesis
• Get started with speech on Azure
• Use Azure Speech
• Exercise – Get started with speech in Microsoft Foundry
11. Computer Vision Concepts
• Computer vision tasks and techniques
• Images and image processing
• Convolutional neural networks
• Vision transformers and multimodal models
• Image generation
• Exercise – Explore a computer vision scenario
12. Get Started with Computer Vision in Microsoft Foundry
• Understand Foundry tools for computer vision
• Understand Azure Vision Image Analysis capabilities
• Understand Azure Vision Face service capabilities
• Get started in Microsoft Foundry portal
• Exercise – Get started with computer vision in Microsoft Foundry
Course Details
• Familiarity with Azure and the Azure portal.
The Introduction to AI in Azure course is designed for anyone interested in learning about the types of solution 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.
For online (live) format
• Full-time: 1 day
• Night: 2 nights
Original price was: $ 499.00.$ 247.00Current price is: $ 247.00.
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