Course Description

Course Overview

The Designing and Implementing a Microsoft Azure AI Solution (AI-102) training is designed for individuals who want to become proficient in designing and implementing AI solutions using Microsoft Azure technologies. The course covers the principles, tools, and practices of AI solution development, including machine learning, natural language processing, computer vision, and conversational AI. Participants will learn how to design and implement end-to-end AI solutions in Azure, leveraging Azure Cognitive Services, Azure Machine Learning, and other related services.

Prerequisites

To get the most out of this course, participants should have a fundamental understanding of AI concepts and technologies, as well as experience with Azure administration and development. It is recommended to have knowledge of programming languages, machine learning concepts, and data handling and processing.

Methodology

The training program combines instructor-led sessions, hands-on labs, and interactive discussions to provide a comprehensive and practical 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

• Analyzing Solution Requirements
• Understanding AI solution requirements and constraints
• Analyzing data sources and data requirements
• Identifying and evaluating appropriate AI technologies and services
• Assessing ethical and compliance considerations in AI solution design
• Designing AI Solutions
• Designing data storage and processing strategies for AI solutions
• Designing models and algorithms for AI solutions
• Designing AI solution architecture and integration patterns
• Designing AI solution deployment and testing strategies
• Implementing and Monitoring AI Solutions
• Implementing data pipelines and data preparation processes
• Developing machine learning models using Azure Machine Learning
• Implementing natural language processing solutions with Azure Cognitive Services
• Implementing computer vision solutions with Azure Cognitive Services
• Monitoring and evaluating AI solution performance and accuracy
• Implementing Conversational AI Solutions
• Designing and implementing conversational AI solutions using Azure Bot Service
• Developing language understanding models with Azure Cognitive Services
• Implementing speech recognition and synthesis with Azure Cognitive Services
• Implementing custom speech recognition and synthesis models

Outcome

Upon completing this training, participants will be able to:

• Understand the requirements and constraints of AI solution development
• Analyze data sources and determine data requirements for AI solutions
• Design end-to-end AI solutions, including data storage, models, and architecture
• Implement AI solutions using Azure Machine Learning and Azure Cognitive Services
• Monitor and evaluate the performance and accuracy of AI solutions
• Design and implement conversational AI solutions using Azure Bot Service
• Develop language understanding and speech recognition/synthesis models

Labs

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

• Preparing and processing data for AI solution development
• Developing machine learning models using Azure Machine Learning
• Implementing natural language processing solutions with Azure Cognitive Services
• Implementing computer vision solutions with Azure Cognitive Services
• Monitoring and evaluating AI solution performance and accuracy
• Designing and implementing conversational AI solutions using Azure Bot Service