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This course was developed by members of AWS Technical Field Communities (TFC), an AWS community of technical experts. The content is intended to complement our standard training curriculum and augment your AWS learning journey. We are aware some…

Data integration at scale with Azure Data Factory

Modules in this learning path:

• Integrate Data Azure Data Factory
• Petabyte Scale Ingestion Azure Data Factory
• Perform Code Free Transformation Scale Azure Data Factory
• Orchestrate Data Movement Transformation Azure Data Factory
• Execute Existing Ssis Packages Azure Data Factory
• Operationalize Your Azure Data Factory Pipelines

Products: Azure Data Factory

Roles: Data Engineer, Data Scientist

Level: Intermediate

Subjects: Data Analytics

Duration: 278 minutes

Data normalization in Microsoft Sentinel

Units in this learning path:

• Introduction
• Understand
• Use Asim Parsers
• Understand Parameterized Kql Functions
• Create Asim Parser
• Configure Azure Monitor Data Collection Rules
• Knowledge Check
• Summary Resources

Products: Azure, Microsoft Sentinel

Roles: Security Operations Analyst

Level: Intermediate

Duration: 56 minutes

Work through exercises to learn about data visualization and reports in Power BI.

Units in this learning path:

• Introduction
• Apply Conditional
• Exercise Add Logo
• Exercise Apply Custom
• Check
• Summary

Products: Power Bi

Roles: Business User, Business Analyst, Data Analyst, Developer

Level: Beginner

Subjects: Business Applications

Duration: 25 minutes

A Learning Plan pulls together training content for a particular role or solution, and organizes those assets from foundational to advanced. Use Learning Plans as a starting point to discover training that matters to you. If you are interested in…

A Learning Plan pulls together training content for a particular role or solution, and organizes those assets from foundational to advanced. Use Learning Plans as a starting point to discover training that matters to you. If you are interested in…

This course was developed by members of AWS Technical Field Communities (TFC), an AWS community of technical experts. The content is intended to complement our standard training curriculum and augment your AWS learning journey. We are aware some…

Learn about the database actions in Power Automate desktop app.

Units in this learning path:

• 1 Introduction
• 2 Database Actions
• 3 Check Knowledge
• 4 Summary

Products: Power Platform, Power Automate

Roles: Maker, Developer, Functional Consultant

Level: Intermediate

Subjects: Databases, Process Workflow

Duration: 24 minutes

Datacenter integration for Azure Stack Hub

Units in this learning path:

• Introduction
• Run Azure Datacenter
• Capacity Plan Considerations
• Identity Considerations
• Connection Models
• License Model
• Name Decisions
• Certificate Requirements
• Connect Azure Stack Hub
• Hybrid Connectivity Options
• Using Expressroute
• External Monitor
• Backup Disaster Recovery
• Knowledge Check
• Summary

Products: Azure, Azure Stack Hub

Roles: Administrator, Solution Architect

Level: Advanced

Subjects: Virtual Machine

Duration: 67 minutes

Debug C# console applications (Get started with C#, Part 6)

Modules in this learning path:

• Review Principles Code Debugging Exception Handling C Sharp
• Implement Visual Studio Code Debugging Tools
• Implement Exception Handling C Sharp
• Create Throw Exceptions C Sharp
• Guided Project Debug Handle Exceptions C Sharp Console Application
• Challenge Project Debug C Sharp Console Application

Products: Dotnet, Vs Code

Roles: Developer, Higher Ed Educator, K 12 Educator, Student

Level: Beginner

Duration: 327 minutes

Discover how to debug with Visual Studio Code and deploy your extension using RAD feature in Dynamics 365 Business Central.

Units in this learning path:

• 1 Introduction
• 2 Debug
• Recovery Failures
• 3 Attach
• 3a Snapshot
• 4 Rapid Application Development
• 5 Publish
• Resource Policy Settings
• Protect Sensitive Values
• Projects Workspaces
• Code Actions
• Generate Help
• 5a Performance Toolkit
• Database Wait Statistics
• 6 Exercise
• 7 Exercise
• 8 Check
• 9 Summary

Products: Dynamics 365, Dynamics Business Central

Roles: Developer

Level: Intermediate

Duration: 134 minutes

Debug and respond to production incidents in multi-agent AI solutions in Azure. Implement agent replay capabilities that reproduce complex multi-agent failures, apply structured root cause analysis procedures for multi-agent incident diagnosis, configure automated detection and remediation for common agent failure patterns, and establish incident response and post-mortem processes adapted to the characteristics of AI agent system failures.

Units in this learning path:

• Introduction
• Implement Agent Replay Production Debug
• Design Root Cause Analysis Agent Failures
• Configure Automated Detection Remediation
• Establish Incident Response Postmortem Processes
• Knowledge Check
• Summary

Products: Azure, Microsoft Foundry, Azure Monitor

Roles: AI Engineer, Devops Engineer, Solution Architect

Level: Advanced

Subjects: Artificial Intelligence, Devops

Duration: 40 minutes