Microsoft Azure AI Fundamentals

Course ID: AI-900
Exam Code: -
Duration: 1 Day
Training Fee: HK$2,800
Private in-house training
Apart from public, instructor-led classes, we also offer private in-house trainings for organizations based on their needs. Call us at +852 2116 3328 or email us at [email protected] for more details.
Objectives
  • Describe core concepts of machine learning
  • Identify different types of machine learning
  • Describe considerations for training and evaluating machine learning models
  • Describe core concepts of deep learning
  • Use automated machine learning in Azure Machine Learning service
  • Understand applications Azure AI services can be used to build
  • Understand how to access Azure AI services in the Azure portal
  • Understand how to use Azure AI services keys and endpoint for authentication
  • Create and use an Azure AI services resource in a Content Safety Studio setting
  • Learn how to use the Azure AI Vision service to analyze images.
  • Learn how to use Azure AI Face service to detect and analyze faces in images.
  • Learn how to read text in images with Azure AI Vision.
  • Learn how to use Azure AI Language for text analysis
  • After completing this module, you’ll be able to understand how to use Azure AI Language and Azure AI Bot Service to create a bot.
  • Learn what conversational language understanding is.
  • Learn about key features, such as intents and utterances.
  • Build and publish a natural-language machine-learning model.
  • Learn about speech recognition and synthesis
  • Learn how to use Azure AI Speech
  • Learn how to use the prebuilt receipt processing capabilities of Azure AI Document Intelligence.
  • Explore Azure AI Search
  • Create an Azure AI Search index
  • Import data to the index
  • Query the Azure AI Search index
  • Understand generative AI’s place in the development of artificial intelligence
  • Understand large language models and their role in intelligent applications
  • Describe how Azure OpenAI supports intelligent application creation
  • Describe examples of copilots and good prompts
  • Describe Azure OpenAI workloads and access the Azure OpenAI Service
  • Understand generative AI models
  • Understand Azure OpenAI’s language, code, and image capabilities
  • Understand Azure OpenAI’s responsible AI practices and limited access policies
  • Describe an overall process for responsible generative AI solution development
  • Identify and prioritize potential harms relevant to a generative AI solution
  • Measure the presence of harms in a generative AI solution
  • Mitigate harms in a generative AI solution
  • Prepare to deploy and operate a generative AI solution responsibly
Prerequisites

Please review the prerequisites listed for each module in the course content and click on the provided links for more information.

Audience

This course is designed for anyone interested in learning about the types of solutions artificial intelligence (AI) makes possible, and the services on Microsoft Azure that you can use to create them. You don’t need to have any experience of using Microsoft Azure before taking this course, but a basic level of familiarity with computer technology and the Internet is assumed. Some of the concepts covered in the course require a basic understanding of mathematics, such as the ability to interpret charts. The course includes hands-on activities that involve working with data and running code, so a knowledge of fundamental programming principles will be helpful.

Course Outline

1. Fundamental AI Concepts

With AI, we can build solutions that seemed like science fiction a short time ago; enabling incredible advances in health care, financial management, environmental protection, and other areas to make a better world for everyone.

Click here to know more

2. Fundamentals of machine learning

Machine learning is the basis for most modern artificial intelligence solutions. A familiarity with the core concepts on which machine learning is based is an important foundation for understanding AI.

Click here to know more

3. Fundamentals of Azure AI services

In this module, you learn the fundamentals of how Azure AI services can be used to build applications.

Click here to know more

4. Fundamentals of Computer Vision

Azure AI Vision service enables software engineers to create intelligent solutions that extract information from images; a common task in many artificial intelligence (AI) scenarios.

Click here to know more

5. Fundamentals of Facial Recognition

Face detection, analysis, and recognition are important capabilities for artificial intelligence (AI) solutions. Azure AI Face service in Azure makes it easy integrate these capabilities into your applications.

Click here to know more

6. 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.

Click here to know more

7. 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.

Click here to know more

8. Fundamentals of question answering with the Language Service

Create a custom question answering knowledge base with Azure AI Language and create a bot with Azure AI Bot Service that answers user questions.

Click here to know more

9. 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.

Click here to know more

10. Fundamentals of Azure AI Speech

Learn how to recognize and synthesize speech by using Azure AI Speech.

Click here to know more

11. 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.

Click here to know more

12. Fundamentals of Knowledge Mining and Azure AI Search

Use Azure AI Search to make your data searchable.

Click here to know more

13. Fundamentals of Generative AI

In this module you’ll explore the way in which large language models (LLMs) enable AI applications and services to generate original content based on natural language input. You’ll also learn how generative AI enables the creation of AI-powered copilots that can assist humans in creative tasks.

Click here to know more

14. Fundamentals of Azure OpenAI Service

Get to know the connection between artificial intelligence (AI), Responsible AI, and text, code, and image generation. Understand how you can use Azure OpenAI to build solutions against AI models within Azure.

Click here to know more

15. Fundamentals of Responsible Generative AI

Generative AI enables amazing creative solutions, but must be implemented responsibly to minimize the risk of harmful content generation.

Click here to know more

Search for a course