Explore digital courses

In this module, learners will learn how to build UI for their app including theming, icons, images, personalization, form factors, and controls.

Units in this learning path:

• 1 Use Themes
• 2 Branding Control
• 3 Icons
• 4 Images
• 5 Personalization
• 6 Use Table Phone Form Factors
• 6a Exercise Create New Ui
• 7 Knowledge Check
• 8 Summary

Products: Power Platform, Power Apps

Roles: Functional Consultant, Maker

Level: Intermediate

Subjects: Custom App Development

Duration: 47 minutes

This module will focus on the building blocks of Dataverse and model-driven apps. These key components will help you build quick business apps in your organization.

Units in this learning path:

• Introduction
• Model Driven Apps
• Dataverse Model Driven Apps
• Exercise Explore Sample Apps
• Check
• Summary

Products: Power Platform, Power Apps, Dataverse

Roles: Functional Consultant, Business User, Maker

Level: Beginner

Subjects: Custom App Development

Duration: 28 minutes

Learn how to pitch your startup to investors, discover what makes a pitch effective, and get tips for delivering compelling pitches.

Units in this learning path:

• Introduction
• Pitching Principles
• Pitch Deck Content
• Deliver Compelling Pitch
• Knowledge Check
• Summary

Products: Consumer

Roles: Business Owner, Business Analyst, Functional Consultant, Student

Level: Beginner

Subjects: Marketing Sales

Duration: 32 minutes

Hunt for threats using notebooks in Microsoft Sentinel

Units in this learning path:

• Introduction
• Access Azure Sentinel Data with External Tools
• Hunt
• Create Notebook
• Explore Notebook Code
• Knowledge Check
• Summary Resources

Products: Azure, Microsoft Sentinel

Roles: Security Operations Analyst

Level: Intermediate

Subjects: Threat Protection

Duration: 31 minutes

In this module, you'll learn how Azure Local enables organizations to run virtual machines, containers, and cloud services on-premises while integrating with Azure for centralized management and security. You'll explore technical features such as hybrid cloud connectivity, resource organization, automated updates, container orchestration with AKS, and multi-layered security protections.

Units in this learning path:

• Introduction
• What Is Azure Local
• Azure Kubernetes Service
• Security Protection
• Knowledge Check
• Summary

Products: Azure Local

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

Level: Intermediate

Duration: 18 minutes

Educators learn the five elements of hybrid learning and how to implement them with Microsoft Teams.

Units in this learning path:

• Introduction
• Module Introduction
• Module Introduction Continued
• Learning Environment
• Class Community
• Lesson Design
• Engagement Interactivity
• Assessment Feedback
• Opportunity Reimagine Education
• Five Elements
• Teams Checklist
• Knowledge Check
• Summary

Products: Office Teams, M365 Education

Roles: K 12 Educator, School Leader

Level: Beginner

Duration: 60 minutes

Learn about hyperautomation with insights from process mining.

Units in this learning path:

• Introduction
• Use Copilot
• Implement Improvements
• Implement Process Improvements
• Build Custom
• Visualize Hyperautomation
• Check
• Summary

Products: Power Apps, Power Automate, Power Bi

Roles: Functional Consultant, Developer

Level: Beginner

Subjects: Data Management

Duration: 30 minutes

In this module, you'll learn how Azure Local functions, how it integrates with hybrid environments, and how deployment and management work using standard tools.

Units in this learning path:

• Introduction
• Azure Local
• Hybrid Capabilities
• Security Features
• System Management
• Use Case
• Knowledge Check
• Summary

Products: Azure

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

Level: Intermediate

Duration: 15 minutes

This credential earner is an educator who has participated in a series of online institutes to become fluent and knowledgeable in artificial intelligence (AI). The individual has an understanding of AI applications such as machine learning and natural language processing, along with how it is used to solve problems, collect data and identify bias. The earner is equipped to share the foundational knowledge of artificial intelligence with their colleagues and students in their classrooms.

Through validated Artificial Intelligence (AI) instructor-led training, this credential earner has acquired the skills and understanding of AI concepts and technologies. The earner has demonstrated proficiency and understanding of Artificial Intelligence technical topics and design thinking. They have gained the ability to apply the concepts and technology of Artificial Intelligence with applicable open source tools that are relevant to real world AI scenarios, suitable for educational purposes.

This certificate earner has advanced technical skills in AI concepts, such as Machine Learning Methods & Tools, Data Analytics for ML, NLP, Deep Learning and GenAI, and AI applications. Through completion of a comprehensive curriculum, application-based assessments, and authentic experiential learning on how to run an AI model using IBM Watson Studio, the earner is aware of the job outlook in fields that use AI and is familiar with the skills required for success in various roles in the domain.

Through an IBM instructor-led workshop, this credential earner gained skills on Artificial Intelligence (AI) concepts, technology & use cases. The earner has demonstrated proficiency on these topics: Artificial Intelligence Foundations, Machine Learning, AI Language & Vision, Design Thinking for AI, & AI Industry Use Cases. The earner demonstrates capacity to deliver the Artificial Intelligence course applying pedagogical skills to drive group work using challenged-based scenarios.