This course runs for a duration of 1 Day.
The class will run daily from 8:00 AM CST to 4:00 PM CST.
Class Location: Virtual LIVE Instructor Led - Virtual Live Classroom.
Artificial Intelligence is one of the most in-demand skill areas today. According to LinkedIn’s 2024 Jobs on the Rise report, AI-related roles are growing at a 21% annual rate, making foundational skills in this field more valuable than ever.
The AI-900T00: Introduction to AI in Azure course provides a fast-paced, one-day introduction to AI fundamentals and Microsoft Azure AI services. This course is not designed to turn you into a professional data scientist or developer, but rather to give you a solid understanding of common AI workloads, key concepts like generative AI and machine learning, and the Azure tools available to support them.
Through expert-led instruction and hands-on labs built on Microsoft Learn modules, you’ll 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.
After completing this course, you will be able to:
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
Who Should Attend?
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
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
No prior Azure experience is required, just basic computer and internet familiarity and an interest in AI use cases.
There are no required prerequisites. Success in this course is supported by:
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)
