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Learn to implement Bicep for infrastructure as code, including installation, template creation, deployment with Azure Pipelines and GitHub workflows, and integration with Azure Resource Manager.

Units in this learning path:

• Introduction
• What Bicep
• Install Bicep
• Exercise Create Bicep Templates
• Understand Bicep File Structure Syntax
• Exercise Deploy Bicep File Azure Pipelines
• Exercise Deploy Bicep File Github Workflows
• Azure Deployment Use Resource Manager Templates
• Knowledge Check
• Summary

Products: Azure, Azure Artifacts, Azure Boards, Azure Cloud Services, Azure Devops, Azure Pipelines, Azure Repos, Azure Test Plans, Github

Roles: Administrator, AI Engineer, Data Engineer, Developer, Devops Engineer, Platform Engineer, Security Engineer, Security Operations Analyst, Service Adoption Specialist, Solution Architect, Startup Founder, Technology Manager

Level: Advanced

Subjects: Devops

Duration: 92 minutes

Implement CI/CD for SQL Database Projects with source control, branching, schema drift detection, automated pipelines, and testing strategies using GitHub Actions and Azure DevOps.

Units in this learning path:

• Introduction
• Create Build Validate SQL Database Projects
• Configure Source Control Manage Reference Data
• Manage Branching Pull Requests Conflict Resolution
• Detect Resolve Schema Drift
• Implement Cicd Pipelines
• Design Implement Testing Strategy
• Exercise Implement Cicd SQL Database Projects
• Knowledge Check
• Summary

Products: Azure, Azure SQL Database, SQL Server

Roles: Database Administrator, Developer, Data Engineer

Level: Intermediate

Subjects: Databases, Devops

Duration: 116 minutes

This module implements CICD pipeline for edge devices.

Units in this learning path:

• Introduction
• Design Cicd Pipeline Iot Edge
• How Create Ci Pipeline Iot Edge
• Exercise Create Ci Pipeline Iot Edge
• How Create Release Pipeline Iot Edge
• Exercise Create Release Pipeline Iot Edge
• Knowledge Check
• Summary

Products: Azure Iot Edge

Roles: AI Edge Engineer

Level: Intermediate

Subjects: Iot, Devops

Duration: 54 minutes

Implement CI/CD workflows in Azure Databricks

Units in this learning path:

• Introduction
• Version Control
• Testing
• Environments
• Rollback Rollforward
• Exercise
• Knowledge Check
• Summary

Products: Azure Databricks

Roles: Data Engineer

Level: Intermediate

Duration: 64 minutes

Implement DNS for Windows Server IaaS VMs

Units in this learning path:

• Introduction
• Understand Azure Dns
• Implement Azure Dns
• Create an Azure Dns Zone Record Using Azure Portal
• Implement Dns Azure Iaas Virtual Machines
• Implement Split Horizon Dns Azure
• Troubleshoot Dns
• Knowledge Check
• Summary

Products: Azure, Azure Cloud Shell, Azure Portal, Azure Virtual Machines

Roles: Administrator, Solution Architect, Technology Manager

Level: Intermediate

Subjects: Networking, Cloud Computing

Duration: 50 minutes

Learn to implement Desired State Configuration (DSC) with Azure Automation, including configuration drift management, DSC configurations, Linux automation, and hybrid management strategies.

Units in this learning path:

• Introduction
• Understand Configuration Drift
• Explore Desired State Configuration Dsc
• Explore Azure Automation
• Examine Dsc Configuration File
• Implement Dsc Linux Automation Azure
• Knowledge Check
• Summary

Products: Azure, Azure Artifacts, Azure Boards, Azure Cloud Services, Azure Devops, Azure Pipelines, Azure Repos, Azure Test Plans, Github

Roles: Administrator, AI Engineer, Data Engineer, Developer, Devops Engineer, Platform Engineer, Security Engineer, Security Operations Analyst, Service Adoption Specialist, Solution Architect, Startup Founder, Technology Manager

Level: Advanced

Subjects: Devops

Duration: 28 minutes

This module focuses on enabling developers to independently manage their resources and workflows, fostering agility and innovation. Learners will understand the importance of combining flexibility with robust governance to ensure security, compliance, and operational consistency. The module also covers best practices for implementing and managing self-service capabilities within an organization.

Units in this learning path:

• Introduction
• Introduction Developer Self Service
• Developer Self Service Platform Architecture
• Governance Security Self Service Workflows
• Developer Coding Environments
• Automation Self Service Tools
• Monitor Audit Developer Activities
• Implement Microsoft Dev Box
• Knowledge Check
• Summary

Products: Azure, Azure Devops, Github

Roles: Administrator, AI Engineer, Developer, Devops Engineer, Network Engineer, Security Engineer, Solution Architect, Startup Founder

Level: Advanced

Subjects: App Development, Architecture, Asset Management, Automation, Cloud Computing, Cloud Security, Containers, Custom App Development, Devops, Infrastructure, It Management Monitoring, Product Lifecycle Management, Productivity, Site Reliability Engineering

Duration: 121 minutes

As you implement Dynamics 365 solutions, you have many considerations. These include designing for users, sharing solutions and progress with stakeholders, testing and documenting the solutions, and participating in application lifecycle management that your team has put in place.

Modules in this learning path:

• Design Dynamics 365 Deployment
• Present Business Applications Designs
• Document Dynamics 365 Solution Customer
• Test Dynamics 365 Implementation
• Application Lifecycle Management Dynamics 365

Products: Dynamics 365, Dynamics Finance, Dynamics Sales, Customer Insights Journeys, Dynamics Scm, Dynamics Business Central, Dynamics Field Service, Dynamics Customer Service, Dynamics Project Operations, Dynamics Human Resources, Dynamics Iom, Power Apps, Power Automate, Dataverse

Roles: Business Analyst, Functional Consultant, Student, Business User, Maker

Level: Beginner

Subjects: Business Applications

Duration: 388 minutes

Generative Artificial Intelligence (AI) engineering with Azure Databricks uses the platform's capabilities to explore, fine-tune, evaluate, and integrate advanced language models. By using Apache Spark's scalability and Azure Databricks' collaborative environment, you can design complex AI systems.

Modules in this learning path:

• Introduction Language Models Databricks
• Retrieval Augmented Generation Azure Databricks
• Multistage Reasoning Azure Databricks
• Fine Tune Azure Databricks
• Evaluate Language Models Azure Databricks
• Responsible Language Models Azure Databricks
• Implement Llmops Azure Databricks

Products: Azure Databricks

Roles: Data Scientist, AI Engineer

Level: Intermediate

Subjects: Artificial Intelligence, Machine Learning

Duration: 417 minutes

GitHub Actions is a powerful CI/CD platform that allows developers to automate their software development workflows. Learn how GitHub actions are implemented, how workflow files are structured, and how to control workflow execution.

Units in this learning path:

• Introduction
• Explore Github Actions
• Examine Workflow File
• Implement Variables Scripts
• Explore Github Contexts Expressions
• Manage Github Secrets
• Exercise Github Actions
• Knowledge Check
• Summary

Products: Github

Roles: Developer

Level: Intermediate

Subjects: Automation

Duration: 60 minutes

Learn how to use GitHub Actions for Azure in your workflows and configure Azure with the necessary security principals to automate software development workflows between GitHub and Azure.

Units in this learning path:

• Introduction
• Explore Github Actions Azure
• Discover Actions Azure Authentication
• Exercise Github Actions Azure
• Knowledge Check
• Summary

Products: Azure App Service, Github

Roles: Developer

Level: Intermediate

Subjects: Automation

Duration: 61 minutes

Implement Group Policy Objects

Units in this learning path:

• Introduction
• Define Gpos
• Implement Gpo Scope Inheritance
• Define Domain Based Gpos
• Create Configure Domain Based Gpo
• Define Gpo Storage
• Define Administrative Templates
• Knowledge Check
• Summary

Products: Windows Server

Roles: Administrator, Solution Architect, Technology Manager

Level: Intermediate

Subjects: Cloud Computing, Data Management

Duration: 55 minutes