Course Description

Course Overview

The Microsoft Azure AI Fundamentals (AI-900) course is designed to provide participants with a foundational understanding of artificial intelligence (AI) and its applications in Azure. Participants will learn about the core AI concepts, machine learning, computer vision, natural language processing, and conversational AI. The course covers various Azure AI services and tools, enabling participants to explore and leverage AI capabilities in their applications and solutions.

Prerequisites

No prerequisites are required for this course. It is designed for individuals who have little or no experience with AI or Azure AI services.

Methodology

The training program combines instructor-led sessions, demonstrations, and interactive discussions to ensure a comprehensive and engaging learning experience. Participants will have access to Azure AI services and tools throughout the training to reinforce their understanding and gain hands-on experience.

Course Outline

• Introduction to AI
• Understanding the basics of AI
• Exploring the different types of AI
• Introduction to machine learning and its components
• Overview of deep learning and neural networks
• Ethical considerations and responsible AI practices
• Azure AI Services
• Introduction to Azure AI services and solutions
• Exploring Azure Cognitive Services
• Understanding Azure Machine Learning service
• Implementing computer vision using Azure Cognitive Services
• Utilizing natural language processing with Azure Cognitive Services
• Machine Learning and AI Workloads
• Introduction to machine learning concepts
• Understanding supervised and unsupervised learning
• Evaluating and improving machine learning models
• Exploring AI workloads and scenarios
• Utilizing Azure Machine Learning service for model training and deployment
• Conversational AI
• Introduction to conversational AI and chatbots
• Understanding language understanding and speech recognition
• Implementing chatbots using Azure Bot Service
• Integrating chatbots with Azure Cognitive Services
• Designing and deploying conversational AI solutions

Outcome

Upon completing this training, participants will be able to:

• Understand key AI concepts and terminologies
• Identify and differentiate between various types of AI and machine learning
• Describe and utilize core Azure AI services and solutions
• Implement computer vision and natural language processing using Azure Cognitive Services
• Develop and deploy machine learning models using Azure Machine Learning service
• Design and deploy conversational AI solutions using Azure Bot Service

Labs

The training includes hands-on labs to provide participants with practical experience working with Azure AI services. These labs may include exercises such as:

• Implementing image recognition using Azure Cognitive Services
• Developing a natural language processing application with Azure Cognitive Services
• Training and deploying a machine learning model with Azure Machine Learning service
• Designing and deploying a chatbot using Azure Bot Service
• Integrating Azure Cognitive Services with custom AI applications
• Implementing responsible AI practices and addressing ethical considerations