Course Prerequisites
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.
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.
