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557 courses available

Microsoft

Analyze requirements for AI-powered business solutions

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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

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Analyze text with Azure Language

Units in this learning path:

• Introduction
• Provision Resource
• Detect Language
• Extract Key Phrases
• Analyze Sentiment
• Extract Entitites
• Extract Linked Entitites
• Exercise
• Knowledge Check
• Summary

Products: AI Services, Azure AI Foundry

Roles: AI Engineer, Developer

Level: Intermediate

Subjects: Artificial Intelligence

Duration: 54 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

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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

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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

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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: AI Services, 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

Architect AI solutions for business productivity

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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
• Manage Testing AI Powered Business Solutions

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: 84 minutes

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Microsoft

Architect scalable and cost-efficient AI agent solutions on Azure

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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: Azure AI Foundry, AI Services, Azure Openai, Ms Copilot

Roles: Developer

Level: Intermediate

Subjects: Artificial Intelligence

Duration: 47 minutes

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IBM

Artificial Intelligence Fundamentals

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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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IBM

Artificial Intelligence Fundamentals with Capstone Project

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This credential earner demonstrates knowledge of artificial intelligence (AI) concepts, such as natural language processing, computer vision, machine learning, deep learning, chatbots, neural networks and ethics. The individual has practical skills to apply AI knowledge to a variety of scenarios, including writing effective prompts for AI language models. The earner has practiced essential AI workplace skills required for success in various roles in any domain.
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Microsoft

Authoring 101: writing in unified authoring - Online workshop

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Learn about unified authoring.

Units in this learning path:

• Introduction
• Setup
• Entities
• Variables
• Variables Conditions
• Topic Nodes
• Question Nodes
• Rich Text
• Message Variations
• Productivity Features
• Speech Authoring
• Code View Power Function
• Check
• Summary

Products: Ms Copilot

Roles: Maker, Functional Consultant

Level: Beginner

Subjects: Chatbots

Duration: 62 minutes

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Amazon Web Services

Automate Generative AI workflows using Amazon Bedrock Flows

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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…
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