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609 courses available

Microsoft

Analyze images with Content Understanding

sparkles-duotone-light-full Artificial Intelligence
Learn how to analyze images with Azure Content Understanding.

Units in this learning path:

• Introduction
• What Is Content Understanding
• Analyze Images with Content Understanding
• Exercise
• Knowledge Check
• Summary

Products: Microsoft Foundry

Roles: AI Engineer

Level: Intermediate

Subjects: Artificial Intelligence

Duration: 43 minutes

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Microsoft

Analyze requirements for AI-powered business solutions

sparkles-duotone-light-full Artificial Intelligence
Learn to analyze, design, and implement AI-powered business solutions using agents, generative AI, and Microsoft Copilot for productivity.

Units in this learning path:

• Introduction
• Assess Use Agents Task Automation Data Analytics Decision Making
• Review Data Grounding Accuracy Relevance Timeliness Cleanliness Availability
• Organize Business Solution Data Available Other AI Systems
• Knowledge Check
• Summary

Products: Microsoft 365 Copilot, Microsoft 365 Copilot Chat, Power Platform, Microsoft Copilot Studio, Dynamics 365

Roles: Solution Architect

Level: Advanced

Subjects: Generative AI, Data Analytics, Data Management, Data Engineering, Data Integration

Duration: 25 minutes

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Microsoft

Analyze text with Azure Language in Foundry Tools

sparkles-duotone-light-full Artificial Intelligence
Use Azure Language in Foundry Tools to built text analysis solutions.

Units in this learning path:

• Introduction
• Provision Resource
• Detect Language
• Extract Entitites
• Extract Personal Information
• Exercise
• Knowledge Check
• Summary

Products: Microsoft Foundry

Roles: AI Engineer, Developer

Level: Intermediate

Subjects: Artificial Intelligence

Duration: 46 minutes

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Microsoft

Animate the impossible - 2D/3D motion techniques with Sora

sparkles-duotone-light-full Artificial Intelligence
Explore how Sora enables AI-powered enhancements to traditional 2D animation workflows, including motion smoothing, frame interpolation, and 2D-to-3D transformation techniques.

Units in this learning path:

• Introduction
• Animation Transformation
• Motion Simulation Generated Video
• Enhanced Animations Transformation
• Animation Concept Visualization
• Generated Cinematic Animations Case Studies
• Exercise
• Knowledge Check
• Summary

Products: Ms Copilot

Roles: Student, Maker, K 12 Educator

Level: Beginner

Subjects: Artificial Intelligence

Duration: 100 minutes

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Microsoft

Apply AI tools in special education environments

sparkles-duotone-light-full Artificial Intelligence
Explore practical AI tools to enhance teaching, boost student outcomes, and streamline work in special education environments responsibly.

Units in this learning path:

• Introduction
• Role AI Special Education
• Benefits Challenges AI
• Responsible Use AI Education
• Exercise Reflection
• Knowledge Check
• Summary

Products: M365, Microsoft 365 Copilot, Office Teams, Office Powerpoint, Office Word

Roles: K 12 Educator, School Leader

Level: Beginner

Subjects: Artificial Intelligence, Generative AI

Duration: 15 minutes

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Microsoft

Apply principles of Zero Trust to Microsoft Copilots

sparkles-duotone-light-full Artificial Intelligence
This module equips learners with the knowledge and skills necessary to implement a robust Zero Trust security framework for their Microsoft 365 Copilot deployments.

Units in this learning path:

• Introduction
• Prepare Microsoft Copilots Using Zero Trust Security
• Apply Zero Trust Principles Microsoft Copilot
• Explore Zero Trust Recommendations Copilot Configuration
• Apply Zero Trust Principles Microsoft 365 Copilot
• Deploy Validate Your Data Protection
• Deploy Validate Your Identity Access
• Deploy Validate Your App Protection Policies
• Deploy Validate Your Device Management Protection
• Deploy Validate Your Threat Protection Services
• Deploy Validate Secure Collaboration Microsoft Teams
• Deploy Validate Minimum User Permissions
• Knowledge Check
• Summary

Products: M365, Office 365

Roles: Administrator, Functional Consultant, Solution Architect, Technology Manager

Level: Intermediate

Subjects: Artificial Intelligence, Business Applications, Compliance, Productivity, Security, Threat Protection

Duration: 87 minutes

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Microsoft

Apply responsible AI principles in learning environments

sparkles-duotone-light-full Artificial Intelligence
Discover Microsoft's commitment to ethical AI. Learn about the principles of responsible AI - fairness, reliability & safety, privacy & security, transparency, inclusiveness, and accountability specifically for a learning environment. Principles that are designed to guide and shape the future of AI development and usage.

Units in this learning path:

• Introduction
• Consider the Fairness Principle
• Explore the Reliability and Safety Principle
• Examine the Privacy and Security Principle
• Apply the Inclusiveness Principle
• Use the Transparency Principle
• Implement the Accountability Principle
• Knowledge Check
• Summary

Products: Foundry Tools, Azure Machine Learning, Azure Machine Learning Designer, M365 Apps, Azure Translator Text, Azure Translator Speech, Ms Copilot, Language Service

Roles: K 12 Educator, Business User, Higher Ed Educator, Data Engineer, School Leader

Level: Beginner

Subjects: Artificial Intelligence

Duration: 39 minutes

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Microsoft

Apply task decomposition and agent collaboration strategies in Microsoft Foundry

sparkles-duotone-light-full Artificial Intelligence
Apply advanced task decomposition strategies in Microsoft Foundry multi-agent systems. Design prompt chaining workflows, implement LLM-driven adaptive decomposition, configure agent handoff protocols for context-preserving transitions, and balance decomposition granularity against coordination overhead.

Units in this learning path:

• Introduction
• Design Prompt Chain Workflows
• Implement Dynamic Adaptive Task Decomposition
• Configure Agent Handoff Collaboration Protocols
• Ensure Handoff Reliability Context Preservation
• Optimize Decomposition Granularity
• Knowledge Check
• Summary

Products: Azure, Microsoft Foundry, Foundry Agent Service

Roles: AI Engineer, Solution Architect

Level: Advanced

Subjects: Artificial Intelligence

Duration: 46 minutes

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Microsoft

Architect AI solutions for business productivity

sparkles-duotone-light-full Artificial Intelligence
Learn how to design AI-powered business solutions using agents, generative AI, and Microsoft Copilot to enhance productivity and efficiency.

Modules in this learning path:

• Introduction Agentic AI Business Solution Architecture
• Analyze Requirements AI Powered Business Solutions
• Design Overall AI Strategy Business Solutions
• Evaluate Costs Benefits AI Powered Business Solution
• Design AI Agents Business Solutions
• Design Extensibility AI Solutions
• Orchestrate Configuration Prebuilt Agents Apps
• Analyze Monitor Tune AI Powered Business Solutions
• Manage Testing AI Powered Business Solutions
• Design Alm Process AI Powered Business Solutions
• Design Responsible AI Security Governance Risk Management Compliance

Products: Microsoft 365 Copilot, Microsoft 365 Copilot Chat, Power Platform, Microsoft Copilot Studio, Dynamics 365

Roles: Solution Architect

Level: Advanced

Subjects: Generative AI, Data Analytics, Data Management, Data Engineering, Data Integration

Duration: 684 minutes

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Microsoft

Architect production-grade multi-agent AI solutions in Azure

sparkles-duotone-light-full Artificial Intelligence
Learn how to design production-grade agentic AI solutions in Microsoft Foundry. This training covers stateful agentic loop architecture, hierarchical orchestration patterns, dynamic task decomposition strategies, and enterprise-scale agent communication ecosystems, including A2A protocol integration for cross-platform agent connectivity. AI-500

Modules in this learning path:

• Design Agentic Loops Microsoft Foundry Agent Service
• Implement Multi Agent Orchestration Azure AI Foundry
• Apply Task Decomposition Multi Agent Azure
• Design Enterprise Agent Communication A2a

Products: Agent Framework, Azure Cosmos Db, Azure Managed Redis, Microsoft Foundry

Roles: AI Engineer, Solution Architect

Level: Advanced

Subjects: Artificial Intelligence

Duration: 201 minutes

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Microsoft

Architect scalable and cost-efficient AI agent solutions on Azure

sparkles-duotone-light-full Artificial Intelligence
This module guides learners through designing AI agent architectures that scale with business demand, provide deep visibility into cost drivers, and support long-term governance. Participants explore reference architectures, orchestration patterns, and financial design principles that ensure operational efficiency, cost control, and strategic alignment.

Units in this learning path:

• Reference Architecture
• Cost Effectiveness Multi Agent
• Design Principles
• Knowledge Check
• Summary

Products: Microsoft Foundry, Foundry Tools, Azure Openai, Ms Copilot

Roles: Developer

Level: Intermediate

Subjects: Artificial Intelligence

Duration: 47 minutes

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IBM

Artificial Intelligence Fundamentals

sparkles-duotone-light-full Artificial Intelligence
This credential earner demonstrates knowledge of artificial intelligence (AI) concepts, such as natural language processing, computer vision, machine learning, deep learning, chatbots, and neural networks; AI ethics; and the applications of AI. The individual has a conceptual understanding of 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.
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