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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: 216 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

Provision and operate Azure Local virtual machines through supported management, capacity planning, servicing, monitoring, recovery, and graphics acceleration.

Units in this learning path:

• Introduction
• Virtual Machine Operations
• Virtual Machine Dependencies
• Virtual Machine Health
• Virtual Machine Lifecycle
• Network Mobility Restrictions
• Guest Management
• Security Aware Recovery
• Graphics Acceleration
• Knowledge Check
• Summary

Products: Azure Local

Roles: Administrator, Solution Architect

Level: Intermediate

Subjects: Infrastructure

Duration: 129 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 Microsoft 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, Foundry Tools, 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, model fine-tuning with managed training, automated testing, monitoring, and tracing in production.

Modules in this learning path:

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

Products: Foundry Tools, Microsoft Foundry, Github

Roles: Data Scientist, AI Engineer, Devops Engineer

Level: Intermediate

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

Duration: 457 minutes

Learn how to design, train, optimize, automate, deploy, and monitor machine learning models with Azure Machine Learning and GitHub Actions.

Modules in this learning path:

• Design Machine Learning Model Training Solution
• Experiment Azure Machine Learning
• Run Training Scripts Track Models Mlflow
• Perform Hyperparameter Tuning Azure Machine Learning Pipelines
• Run Pipelines Azure Machine Learning
• Trigger Azure Machine Learn Jobs Github Actions
• Deploy Model Github Actions

Products: Azure Machine Learning, Github

Roles: Data Scientist

Level: Intermediate

Subjects: Artificial Intelligence, Machine Learning

Duration: 349 minutes

Operationalize your Azure Data Factory pipelines

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
• Security
• Knowledge Check
• Summary

Products: Azure Data Factory

Roles: Data Engineer, Data Scientist

Level: Intermediate

Duration: 53 minutes