Learn AI Fundamentals | Program Overview
Prerequisites:
Open to all the students of age 13+ years. No prior experience in AI or coding required — this is a beginner-friendly program designed for newcomers.
Technical Requirements:
Laptop or PC with a stable internet connection.
A minimum screen resolution of 1920 x 1080 is recommended, and a stable internet connection with a download speed of at least 10 Mbps per workstation is required.
Prepare to embark on an exciting journey into the world of AI — no prior knowledge needed!
Learning Outcomes
This program introduces students to the basics of AI and machine learning, helping them understand how intelligent systems solve real-world problems. They'll also explore how powerful platforms like Azure AI are used to create innovative solutions.
Designed for all students, from beginners to those with some experience, this program offers a fun and engaging way to build skills in technology, problem-solving, and critical thinking.
Let’s dive into the world of AI!
After completing this course, students will be able to:
• Describe Artificial Intelligence workloads and considerations
• Describe fundamental principles of machine learning on Azure
• Describe features of computer vision workloads on Azure
• Describe features of Natural Language Processing (NLP) workloads on Azure
• Describe features of generative AI workloads on Azure
Microsoft Azure AI Fundamentals
Program Modules
Module 1: AI Overview
Fundamental AI Concepts
In this module, you'll learn about the kinds of solutions AI can make possible and considerations for responsible AI practices.
Fundamentals of Machine Learning
Machine learning is the basis for most modern artificial intelligence solutions and is an important foundation for understanding AI.
Fundamentals of Azure AI Services
In this module, you will learn the fundamentals of how Azure AI services can be used to build applications, making it easier to leverage AI and machine learning in practical environments.
Module 2: Computer Vision
Fundamentals of Computer Vision
In this chapter, we dive into the basics of Computer Vision, an area of AI that enables machines to interpret and understand visual information from the world.
Fundamentals of Facial Recognition
Face detection and analysis are important capabilities for artificial intelligence (AI) solutions. Azure AI Face service makes it easy integrate these capabilities into your applications.
Fundamentals of optical character recognition
Optical character recognition (OCR) enables artificial intelligence (AI) systems to read text in images, enabling applications to extract information from photographs, scanned documents, and other sources of digitized text.
Module 3: Natural Language Processing (NLP)
Fundamentals of Text Analysis with the Language Service
Explore Azure AI Language's natural language processing (NLP) features, which include sentiment analysis, key phrase extraction, named entity recognition, and language detection.
Fundamentals of question answering with the Language Service
Create a custom question answering knowledge base with Azure AI Language.
Fundamentals of conversational language understanding
In this module, we introduce you to conversational language understanding, and show how to create applications that understand language with Azure AI Language.
Fundamentals of Azure AI Speech
Learn how to recognize and synthesize speech by using Azure AI Speech.
Fundamentals of language translation
Automated translation capabilities in an AI solution enable closer collaboration by removing language barriers.
Module 4: Document Intelligence and Knowledge Mining
Fundamentals of Azure AI Document Intelligence
Document processing is a common task in many business scenarios. Organizations can use Azure AI Document Intelligence to automate data extraction across document types, such as receipts, invoices, and more.
Fundamentals of Knowledge Mining and Azure AI Search
Use Azure AI Search to make your data searchable.
Module 5: Generative AI
Fundamentals of Generative AI
In this module, you explore the way in which language models enable AI applications and services to generate original content based on natural language input. You also learn how generative AI enables the creation of agents that can assist humans in creative tasks.
Plan and prepare to develop AI solutions on Azure
Microsoft Azure offers multiple services that enable developers to build amazing AI-powered solutions. Proper planning and preparation involves identifying the services you'll use and creating an optimal working environment for your development team.
Responsible generative AI
Generative AI enables amazing creative solutions, but must be implemented responsibly to minimize the risk of harmful content generation.
Fundamentals of AI agents on Azure
AI agents represent the next generation of intelligent applications. Learn how they can be developed and used on Microsoft Azure.
