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This credential earner has the advanced competencies to use statistics to make data-driven recommendations or decisions. The individual has the technical knowledge and practical skills to differentiate between common data distribution types, sample a population, calculate descriptive statistics with Microsoft Excel, and apply inferential statistical analysis to formulate data-driven recommendations. The earner has practiced essential workplace skills and explored data analytics career pathways.

This course has been created with the help of Amazon Q business expert. This course would provide a helpful overview of how Amazon Q can search for and summarize information to answer users' questions in a safe, faithful, helpful and responsible…

In this module, you'll begin to discover the opportunities for Java developers on Azure.

Units in this learning path:

• 1 Introduction
• 2 Role
• 3 App Types
• 4 Java Technologies
• 5 Deployment Opportunities
• 6 Sample Deployment
• 7 Knowledge Check
• 8 Summary

Products: Azure

Roles: Developer, Administrator

Level: Beginner

Duration: 37 minutes

In this course, you learn the basics of Kubernetes. You learn about the anatomy of a cluster, the concepts behind it, and the terminology. Finally, see these concepts in action through a demonstration of a local Kubernetes cluster. Level:…

Learn how to set up and use GitHub MCP Server in Visual Studio Code to extend GitHub Copilot and streamline your AI-assisted development workflow.

Units in this learning path:

• Introduction
• Simplify Workflow
• Configure Connect
• Use Github Copilot Chat
• Exercise Integrate Github Copilot
• Knowledge Check
• Summary

Products: Github

Roles: Devops Engineer, Administrator, Developer, Solution Architect

Level: Intermediate

Duration: 35 minutes

This digital course is designed to help business decision makers understand the fundamentals of machine learning (ML). Course level: Fundamental. Duration: 30 minutes. This course includes presentations, videos, and knowledge assessments.

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…

In this module, you'll learn about the components and features of Microsoft 365 Business Standard, including its productivity applications, cloud-based collaboration tools, and integrated solutions for communication and project management.

Units in this learning path:

• Introduction
• What Is Microsoft 365 Business Standard
• How Microsoft 365 Business Standard Works
• When to Use Microsoft 365 Business Standard
• Knowledge Check
• Summary

Products: M365 Business

Roles: Business Owner, Business User, Administrator, Technology Manager

Level: Beginner

Duration: 23 minutes

This module introduces the Microsoft 365 admin center and basic configurations for core services like Teams, Exchange, and SharePoint.

Units in this learning path:

• Introduction
• Explore Microsoft 365 Ecosystem
• Explore Microsoft 365 Admin Center
• Examine Exchange Teams Sharepoint
• Establish Security Foundations
• Assign Admin Roles
• Knowledge Check
• Summary

Products: M365, M365 Admin Center, M365 Enterprise

Roles: Administrator, Functional Consultant

Level: Beginner

Subjects: Application Management, Productivity

Duration: 63 minutes

Explore Microsoft AI agent solutions and gain clarity on when to adopt, extend, or develop custom agent solutions based on your scenario and objectives.

Units in this learning path:

• Introduction
• AI Agent Solutions Microsoft
• Microsoft 365 Copilot Copilot Chat
• Customize Extend Microsoft 365 Copilot
• Build Custom AI Agents Applications
• Choose Your Agent Solution
• Knowledge Check
• Summary

Products: Azure, Microsoft 365 Copilot, Microsoft 365 Copilot Chat, Microsoft Copilot Studio

Roles: Developer, Maker

Level: Beginner

Subjects: Generative AI

Duration: 27 minutes

Learn how Microsoft AI (MAI) models work and how to use them in your applications.

Modules in this learning path:

• Microsoft AI Models
• Microsoft AI in Foundry

Products: Microsoft Foundry

Roles: Student, AI Engineer, Developer, Data Scientist

Level: Beginner

Subjects: Artificial Intelligence

Duration: 108 minutes

Introduction to Microsoft Azure Data analytics in Azure

Modules in this learning path:

• Examine Components of Modern Data Warehouse
• Explore Fundamentals of Stream Processing
• Explore Fundamentals of Data Visualization

Products: Azure, Fabric, Power Bi, Azure Databricks, Azure Data Factory, Azure Storage, Azure Event Hubs

Roles: Data Analyst, Data Engineer, Database Administrator, Solution Architect, Student

Level: Beginner

Subjects: Data Analytics

Duration: 128 minutes