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Machine Learning Engineer
This three-day course serves as an introduction to the development of generative AI solutions with Microsoft Azure. It is part of the preparation for the Microsoft exam "Develop AI Solutions in Azure (AI-102)".
Please note that the modules AI-3016 and AI-3026 are only included in this course as summaries. For admission to and preparation for the exam "Develop AI Solutions in Azure (AI-102)", they must be booked separately as stand-alone courses.
1. development of generative AI apps in Azure (summary of AI-3016)
Generative Artificial Intelligence (GenAI) is becoming easier to implement thanks to comprehensive development platforms such as Azure AI Foundry. Learn how to create generative AI applications and use language models.
2. development of AI agents on Azure (summary of AI-3026)
AI agents are a key component in the development of generative AI solutions. In this module, you will learn to understand AI agents, including when to use them and how to create them using the Azure AI Foundry Agent Service and the Semantic Kernel Agent Framework.
3. development of natural language solutions in Azure (AI-3003)
Natural language solutions use language models to interpret the semantic meaning of written and spoken language to control processes and execute automations. You can use the language service to create language models for your applications and use generative language models with Azure AI Foundry.
4. development of computer vision solutions in Azure (AI-3004)
Computer vision is an area of artificial intelligence that deals with visual perception and image recognition. Azure AI includes several services that support common computer vision scenarios. In this module, you will learn how to read and classify image data and refine computer vision models.
5. development of AI information extraction solutions in Azure (AI-3002)
Use Azure AI to scrape and extract data and use it for automation - for example for data capture, business process automation, meeting summarization and analysis, digital asset management (DAM) and knowledge mining. In this module, you will get to know all the tools available to you in Azure.
In this official Microsoft training course, you will get to know all the tools and services in Azure AI and learn how to use them to develop your own generative AI solutions:
- Azure AI Document Intelligence: Learn how to automatically capture and analyze business and custom forms and seamlessly transfer the extracted content to Azure Cognitive Search as a custom skill, making it instantly searchable.
- Azure AI Language: You will learn how to build multi-level Q&A and chat bots with active learning, how intents and entities control dialogs in a structured way and how to develop your own text classification projects to precisely evaluate language content.
- Azure AI Translator: The focus is on real-time language recognition, translation and transliteration. You will learn how to adapt technical terms or corporate wording using custom translations so that translations match your company's terminology exactly.
- Azure AI Speech: Implement reliable speech-to-text recognition and natural-sounding text-to-speech output, configure audio formats, voices and SSML properties, and use Speech Translation to instantly convert spoken language into text or audio translations.
- Azure AI Vision: The course teaches you how to train your own models for image classification and object recognition, analyze faces and use OCR to read printed or handwritten text from images and PDFs in order to integrate the information obtained into apps via SDKs or REST APIs.
- Azure Video Indexer: You will learn to automatically analyze videos, extract valuable metadata and individual insights and embed the results directly into your systems via widgets or APIs.
After the course, you will know exactly which Azure service offers which added value, how to configure it, train it and integrate it into production systems - so that you can confidently implement AI-supported solutions from documents to videos.
This course is part of the preparation for the exam: "AI-102: Develop AI Solutions in Azure" for the "Microsoft Certified Azure AI Engineer Associate" certification.
The following modules from the official Microsoft training curriculum are integrated into this course:
- AI-3002: Develop AI Information Extraction Solutions in Azure
- AI-3003: Develop Natural Language Solutions in Azure
- AI-3004: Develop Computer Vision Solutions in Azure
The modules "AI-3016: Develop Generative AI Apps in Azure" and "AI-3026: Develop AI Agents on Azure" are only treated as a summary and can be booked as stand-alone courses. They must be booked separately for admission and preparation for the exam.
This course is aimed at engineers engineers who are involved in the creation, management and deployment of AI solutions using the Azure AI Foundry and other Azure AI services.
Knowledge of C# or Python and REST-based APIs and SDKs to create generative AI, computer vision, speech analytics and information extraction solutions on Azure is required.
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