Course
digicode: AI901
Introduction to AI in Azure – Intensive Training
Course facts
- Understanding the core concepts of Artificial Intelligence (AI)
- Exploring the fundamentals of generative AI, including large language models (LLMs), prompts, and AI agents
- Analyzing text to infer semantic meaning using natural language processing (NLP)
- Investigating the concepts behind AI speech, such as recognition and synthesis
- Applying computer vision capabilities to analyze images and generate visual content
- Extracting data values from documents, images, and other unstructured sources using AI information extraction
- Learning to build and use AI, including generative AI models and specialized services like text analysis and speech, securely and at scale with Microsoft Azure and Foundry
1 Introduction to AI concepts
Curious about artificial intelligence? Want to understand what 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 explore the fundamentals of generative AI, including large language models (LLMs), prompts, and AI agents.
3 Introduction to natural language processing concepts
Natural language processing (NLP) supports applications that can analyze text to infer semantic meaning.
4 Introduction to AI speech concepts
Imagine AI apps and agents that you can talk to. Explore the concepts behind AI speech, including speech recognition and synthesis.
5 Introduction to computer vision concepts
Introduction to computer vision concepts
6 Introduction to AI-powered information extraction concepts
AI information extraction enables you to extract data values from documents, images, and other unstructured data sources.
7 Get started with AI in Azure
Learn how Microsoft enables you to build AI with the latest technology, securely, and at scale.
8 Get started with generative AI and agents in Azure
Learn how to use generative AI models and agents with Microsoft Foundry.
9 Get started with text analysis in Azure
Explore Azure Language's text analysis features, which include sentiment analysis, key phrase extraction, named entity recognition, and language detection.
10 Get started with speech in Azure
Learn how to recognize and synthesize speech using Azure Speech in Foundry Tools.
11 Get started with computer vision in Azure
This module introduces computer vision capabilities in Foundry, focusing on how developers can analyze images and generate visual content using multimodal, image‑generation, and video‑generation models.
12 Get started with AI-powered information extraction in Azure
AI gives you the power to unlock insights from your data. Learn how to use Azure Content Understanding in Foundry Tools to extract information from content.
Digicomp Blended Learning Approach:
- Pre-Study: As soon as you book the course, you get access to official Microsoft Courseware and Added Value Content. We recommend that you work through at least the first chapter of each module before the course.
- After-Study: After the course, you will still have access to all courseware and can continue to study the topic as needed.
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.
- Familiarity with AI concepts and terminology
- Basic understanding of machine learning principles
- Consider completing Introduction to Machine Learning concepts before taking this course