Introduction to AI in Azure
Course number: CGIAIF40 - 1 Day (weekdays or on-demand)
This course provides a fast-paced, one-day introduction to AI fundamentals and Microsoft Azure AI services. This course is designed to provide a solid understanding of common AI workloads, key concepts like generative AI and machine learning, and the Azure tools available to support them.
Students will gain practical experience working with Azure AI services for natural language processing, computer vision, speech, and information extraction, while also learning about responsible AI practices.
Course Objectives:
- Describe common AI workloads and use cases
- Gain a knowledge of machine learning concepts including classification, regression, clustering, and deep learning
- Explore generative AI concepts, language models, and prompt engineering basics
- Work with Azure AI services for natural language processing, speech, vision, and information extraction
- Apply responsible AI principles when designing AI solutions
- Navigate Azure AI Foundry and leverage model catalogs and observability tools
Prerequisites
Prerequisite certification is not required before taking this course. Successful Azure AI Fundamental students start with some basic awareness of computing and internet concepts, and an interest in using Azure AI services; specifically:
- Experience using computers and the internet
- Interest in AI workloads and applications
- A basic understanding of math (interpreting charts, simple probability)
- Familiarity with fundamental programming concepts (helpful but not required)
Target Audience
This course is ideal for:
- Business and technical professionals who want to understand AI fundamentals
- IT staff exploring AI opportunities within Azure
- Project managers, consultants, and decision-makers who need to evaluate AI capabilities
- Developers or analysts interested in Azure AI but not yet specializing in data science or machine learning
Certification
Microsoft Certified: Azure AI Fundamentals
Exam
Microsoft AI-900 exam
Accreditation
Post course completion, students may appear for the Microsoft AI-900 exam.
Course Content
1. Introduction to AI Concepts
- Generative AI
- Computer vision
- Speech
- Natural language processing
- Extract data and insights
- Responsible AI
- Module assessment
2. Introduction to Machine Learning Concepts
- What is machine learning?
- Types of machine learning
- Regression
- Binary classification
- Multiclass classification
- Clustering
- Deep learning
- Transformers
- Module assessment
3. Design a Machine Learning Model Training Solution
- Define the problem
- Get and prepare data
- Train the model
- Integrate a model
- Monitor the model
- Module assessment
4. Introduction to Generative AI Concepts
- What is generative AI?
- How do language models work?
- Understand how transformers advance language models
- Understand differences in language models
- Improve prompt results
- Create responsible generative AI solutions
- Module assessment
5. Get Started with Generative AI on Azure
- Understand generative AI applications
- Understand tools to develop generative AI
- Understand Azure AI Foundry’s model catalog
- Understand Azure AI Foundry capabilities
- Understand observability
- Module assessment
6. Introduction to Natural Language Processing Concepts
- Understand how language is processed
- Understand statistical techniques for NLP
- Understand semantic language models
- Module assessment
7. Get Started with Natural Language Processing on Azure
- Understand natural language processing on Azure
- Understand Azure AI Language’s text analysis capabilities
- Azure AI Language’s conversational AI capabilities
- Azure AI Translator capabilities
- Get started in Azure AI Foundry
- Module assessment
8. Get Started with Speech on Azure
- Understand speech recognition and synthesis
- Get started with speech on Azure
- Use Azure AI Speech
- Module assessment
9. Introduction to Computer Vision Concepts
- Overview
- Understand image processing
- Machine learning for computer vision
- Understand modern vision models
- Module assessment
10. Get Started with Computer Vision on Azure
- Understand Azure AI services for computer vision
- Understand Azure AI Vision Image Analysis capabilities
- Understand Azure AI Vision’s Face service capabilities
- Get started in Azure AI Foundry portal
- Module assessment
11. Introduction to AI-Powered Information Extraction Concepts
- Overview
- Understand the extraction of data from images
- Understand the extraction of data from forms
- Understand multimodal data extraction
- Understand data extraction for knowledge mining
- Module assessment
12. Get Started with AI-Powered Information Extraction on Azure
- Azure AI services for information extraction
- Extract information with Azure AI Vision
- Extract multimodal information with Azure AI Content Understanding
- Extract information from forms with Azure AI Document Intelligence
- Create a knowledge mining solution with Azure AI Search
- Module assessment
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