Explore digital courses

Collaborate with OneNote Staff Notebooks, a personal workspace for staff and teachers, a content library for shared information, and a collaboration space.

Units in this learning path:

• Introduction
• Get Started Onenote Staff Notebook
• Set Up Onenote Staff Notebook
• Get Most Out Staff Notebooks
• Knowledge Check
• Summary

Products: Office Teams, Office Onenote, M365 Education

Roles: K 12 Educator, School Leader

Level: Intermediate

Duration: 48 minutes

Create lesson plans, assessments, and learning activities with OneNote tools, OneNote Class Notebook, and OneNote Staff Notebook.

Modules in this learning path:

• Get Started with Onenote
• Onenote Class Notebook Teacher All in One Notebook
• Onenote Staff Notebook
• Independent Learning Math Tools Onenote

Products: Office Onenote, M365 Education

Roles: K 12 Educator, School Leader

Level: Intermediate

Duration: 213 minutes

Machine learning (ML) and Artificial Intelligence (AI) are becoming mainstream. In this course, you will spend a day in the life of a data scientist so that you can collaborate efficiently with data scientists and build applications that integrate…

In this course, you will learn how to use Amazon EKS to manage and orchestrate containers with Kubernetes. With Amazon EKS you can run Kubernetes on AWS without needing to install, operate, and maintain your own Kubernetes control plane. You will…

This credential earner has foundational knowledge in hybrid cloud computing, artificial intelligence (AI) ethics, and open source technologies. This earner know the differences between private and public clouds, the attributes of hybrid cloud, the role of data containers; the types of human ethical behavior, how they relate to AI ethics, how AI ethics can fail, and ways to reduce the resulting harm; open source history, roles, responsibilities; and the role of these technologies in jobs.

Learn how to manage and operate hybrid infrastructure using Azure Local with familiar tools like Windows Admin Center, PowerShell, and Azure Arc.

Units in this learning path:

• Introduction
• What Is Azure Local
• Familiar Tools for It Management
• Security and Compliance
• Apply Azure Local to Real World Industries
• Knowledge Check
• Summary

Products: Azure Local

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

Level: Intermediate

Duration: 22 minutes

Achieve operational excellence and enhance developer experience in your organization through DevOps. Your operational and development practices improve by implementing shift-right testing, observability through performance and security monitoring, Site Reliability Engineering and platform engineering.

Units in this learning path:

• Introduction
• Explore Operational Excellence
• Explore Shift Right Testing
• Explore Observability Through Performance Monitoring
• Explore Observability Through Security Assessment
• Explore Resiliency with Site Reliability Engineering
• Improve Developer Experience with Platform Engineering
• Enhance Workload Resiliency Traffic Manager and Azure Chaos Studio
• Knowledge Check
• Summary

Products: Azure, Azure Cloud Services, Github, Azure Devops

Roles: Administrator, Developer, Devops Engineer, Security Engineer, Security Operations Analyst, Solution Architect, Student, Support Engineer

Level: Beginner

Subjects: Devops, Cloud Computing

Duration: 54 minutes

Explore Azure AI Foundry's tools for generative AI security, privacy, and quality. Shift from reactive risk management to agile, responsible-by-design governance for better observability and efficiency.

Modules in this learning path:

• Moderate Content Detect Harm Azure AI Content Safety Studio
• Moderate Content Detect Harm Azure AI Content Safety
• Measure Mitigate Risks Azure AI Studio

Products: Azure, AI Services, Content Safety

Roles: Developer

Level: Beginner

Duration: 153 minutes

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 the full GenAIOps lifecycle for generative AI applications, from planning and prompt management to evaluation, automated testing, monitoring, and tracing in production.

Modules in this learning path:

• Plan Prepare Genaiops
• Prompt Versioning Genaiops
• Evaluate Optimize Agents
• Automated Evaluation Genaiops
• Monitor Generative AI App
• Tracing Generative AI App

Products: AI Services, Microsoft Foundry, Github

Roles: Data Scientist, AI Engineer, Devops Engineer

Level: Intermediate

Subjects: Artificial Intelligence, Machine Learning, Natural Language Processing, Devops

Duration: 368 minutes

Operationalize your Azure Data Factory or Azure Synapse Pipeline

Units in this learning path:

• Introduction
• Understand Language Support Azure Data Factory
• Manage Source Control of Solutions
• Continuous Integration and Deployment
• Monitor
• Set Up Alerts Azure Data Factory
• Re Run Azure Data Factory Pipelines
• Knowledge Check
• Summary

Products: Azure Data Factory, Azure Synapse Analytics

Roles: Data Engineer, Data Scientist

Level: Intermediate

Duration: 47 minutes

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…