Introduction to AI in Azure (AI-901)
Official Microsoft training and certification preparation
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Machine Learning Engineer
1. Introduction to AI Concepts
Are you curious about artificial intelligence? Do you want to understand what all the buzz is about? This module introduces you to the world of AI.
2. Introduction to Generative AI and Agents
Generative AI powers applications that can create content, answer questions, and assist with tasks. In this module, you’ll learn the basics of generative AI, including large language models (LLMs), prompts, and AI agents.
3. Introduction to Concepts in Natural Language Processing
Natural Language Processing (NLP) supports applications that can analyze text to derive semantic meanings.
4. Introduction to AI Language Concepts
Imagine AI apps and agents you can talk to. Discover the concepts behind AI language, including speech recognition and synthesis.
5. Introduction to Computer Vision Concepts
Introduction to Computer Vision Concepts
6. Introduction to AI-powered information extraction
With AI-powered information extraction, you can extract data values from documents, images, and other unstructured data sources.
7. Getting Started with AI in Azure
Learn how to use Microsoft AI to develop securely and at scale with cutting-edge technology.
8. Getting Started with Generative AI and Agents in Azure
Learn how to use generative AI models and agents with Microsoft Foundry.
9. Getting Started with Text Analysis in Azure
Discover the text analysis features of Azure Language, including sentiment analysis, keyword extraction, named entity recognition, and speech recognition.
10. Getting Started with Speech in Azure
Learn how to recognize and synthesize speech using Azure Speech in Foundry Tools.
11. Getting Started with Computer Vision in Azure
This module introduces the computer vision capabilities in Foundry and focuses on how developers can analyze images and create visual content using multimodal models, image generation models, and video generation models.
12. Getting Started with AI-Powered Information Extraction in Azure
AI gives you the ability to gain insights from your data. Learn how to use Azure Content Understanding in Foundry Tools to extract information from content.
Requirements:
- Familiarity with AI concepts and terminology
- Basic understanding of the principles of machine learning
- It is recommended that you complete the "Introduction to Machine Learning Concepts" course before participating
In your online learning environment, you will find useful information, downloads and extra services for this training course once you have registered.
- Understanding the core concepts of artificial intelligence (AI)
- Exploring the fundamentals of generative AI, including large language models (LLMs), prompts, and AI agents
- Analyzing texts to derive semantic meanings using natural language processing (NLP)
- Exploring the concepts behind AI language, such as recognition and synthesis
- Using computer vision functions to analyze images and generate visual content
- Extracting data values from documents, images, and other unstructured sources using AI-powered data extraction
- Learn how to build and use AI safely and at scale, including generative AI models and specialized services such as text analysis and speech, using Microsoft Azure and Foundry
Digicomp's blended learning approach:
- Pre-Study: As soon as you book the course, you’ll gain access to the official Microsoft materials. We recommend that you work through at least the first chapter of each module before the course begins.
- Post-Course Access: After the course, you will continue to have access to all course materials and can explore the topic further as needed.
This course is designed for aspiringexperts who are just starting their careers in the development of AI solutions. Some familiarity with the Python programming language and related techniques is beneficial. In addition, knowledge of key cloud concepts is recommended, including cloud storage, cloud computing, and cloud-based authentication and authorization.
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