40577-G: Microsoft Cloud Workshop: Innovate and modernize apps with Data and AI Course Overview

Certainly! To ensure that participants are well-prepared and can gain the most from the 40577-G: Microsoft Cloud Workshop: Innovate and modernize apps with Data and AI course, the following prerequisites are recommended:

• A basic understanding of cloud computing concepts, particularly within the Microsoft Azure ecosystem.
• Familiarity with Azure services such as Azure Functions, Cosmos DB, Azure Machine Learning, and Power BI.
• Experience with programming languages commonly used in data science and application development, like Python or C#.
• Knowledge of database concepts and experience with SQL, particularly with PostgreSQL or similar relational database systems.
• An understanding of machine learning concepts and how machine learning models are trained and deployed.
• Familiarity with software architecture patterns such as event sourcing and Command Query Responsibility Segregation (CQRS).
• Ability to navigate and use the Azure portal to create and manage resources.

These prerequisites are intended to provide a foundation for the course material and activities. Even if you are not fully proficient in all these areas, a willingness to learn and engage with the course content will help you succeed.

Target Audience for 40577-G: Microsoft Cloud Workshop: Innovate and modernize apps with Data and AI

The course 40577-G trains professionals in modernizing apps using Azure Data and AI services, focusing on practical and design skills.

• Data Scientists
• AI Developers
• Azure Developers
• Cloud Solutions Architects
• DevOps Engineers
• IT Professionals with a focus on cloud computing and data solutions
• Application Engineers looking to implement AI features into existing applications
• Technical Team Leads overseeing innovation projects
• Software Engineers interested in data-driven application development
• System Integrators specializing in cloud solutions
• Business Intelligence Professionals seeking to leverage Azure for analytics and AI

Learning Objectives - What you will Learn in this 40577-G: Microsoft Cloud Workshop: Innovate and modernize apps with Data and AI?

Introduction to Learning Outcomes:

This course aims to provide a comprehensive understanding of how to integrate Data and AI capabilities in app modernization. Students will learn to deploy AI models and utilize Azure services for real-time analytics.

Learning Objectives and Outcomes:

• Understand the challenges and requirements of modernizing applications with AI and data services through a customer case study.
• Design a scalable, AI-infused proof of concept solution that addresses real-world business problems.
• Gain hands-on experience deploying a simulated data environment using Azure to model industrial operations.
• Learn to use Azure Machine Learning to develop, train, and deploy a predictive maintenance model.
• Create and implement Azure Functions to process and route event telemetry data to Cosmos DB.
• Integrate predictive maintenance insights into event streams to enhance telemetry data.
• Apply automated anomaly detection to improve the accuracy and value of the telemetry data.
• Practice transferring enhanced telemetry data to a PostgreSQL database for further analysis and storage.
• Modernize application architectures with event sourcing and Command Query Responsibility Segregation (CQRS) patterns.
• Develop skills to visualize and interpret operational data using Power BI for informed decision-making and reporting.