5640 courses available
Microsoft
Database handling in Power Automate desktop app
Data ScienceUnits 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
Microsoft
Datacenter integration for Azure Stack Hub
Software DevelopmentUnits 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
Microsoft
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
Microsoft
Debug and deploy your extension 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
Microsoft
Debug and respond to production multi-agent incidents in Azure
Artificial IntelligenceUnits 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
Amazon Web Services
Decarbonization with AWS Introduction
Amazon Web Services
Decision Maker Learning Plan
Software DevelopmentAmazon Web Services
Deep Dive on Container Security
Cyber SecurityAmazon Web Services
Deep Dive with Security: AWS Identity and Access Management (IAM)
Cyber SecurityAmazon Web Services
Deep Dive: Amazon Elastic Block Store (Amazon EBS) Cost Optimization
Data ScienceAmazon Web Services
Deep Dive: Amazon Elastic Block Store (Amazon EBS) Performance Optimization
Amazon Web Services
Deep Dive: Architecting with Amazon Elastic Block Store (Amazon EBS)
Data ScienceViewing 1549-1560 of 5640