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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.

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.

Assess tenant and data readiness for Microsoft Copilot—including the Copilot Readiness Report and update channels—identify and address oversharing and compliance risks, and plan a phased rollout across your organization.

Units in this learning path:

• Introduction
• Assess Tenant Readiness
• Exercise Run Interpret Readiness Report
• Identify Resolve Data Readiness
• Exercise Remediate Oversharing Risk
• Plan Phased Rollout
• Exercise Stage Phased Rollout Group
• Knowledge Check
• Summary

Products: M365, M365 Admin Center

Roles: Administrator

Level: Intermediate

Subjects: Artificial Intelligence

Duration: 74 minutes

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

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…

Build and connect standalone workflows to agents in Microsoft Copilot Studio. Design input/output contracts, add or remove workflow actions, require end-user confirmation, and test expected paths.

Units in this learning path:

• Introduction
• Plan Workflow Automation
• Build Publish Standalone Workflow
• Add Configure Workflow Tool
• Test Troubleshoot Workflow
• Exercise Create Task Notification Agent
• Knowledge Check
• Summary

Products: Microsoft Copilot Studio

Roles: Maker, Functional Consultant

Level: Intermediate

Subjects: Artificial Intelligence, Automation

Duration: 91 minutes

Wire your Power Platform solutions with intelligent automation and generative AI capabilities. Create event-driven cloud flows, connect automation directly to your Dataverse data model, build approval flows that route decisions to the right people — then extend your solutions further by generating natural language responses from your own business data with AI Builder grounded prompts.

Modules in this learning path:

• Flow Get Started
• Use Dataverse Triggers Actions
• Build Approval Flows
• AI Builder Grounded Prompts

Products: Power Platform, Power Automate, Dataverse, AI Builder

Roles: Functional Consultant, Maker

Level: Beginner, Intermediate

Subjects: Artificial Intelligence, Business Applications, Process Workflow

Duration: 207 minutes

Build workflows for agents powered by the GitHub Copilot harness in Microsoft Copilot Studio, and add human-in-the-loop steps for approvals and missing information.

Modules in this learning path:

• Design Integration Strategies Agents Github Copilot
• Automate Agent Tasks Workflows Copilot Studio
• Add Human Loop Workflows Copilot Studio

Products: Microsoft Copilot Studio

Roles: Maker, Functional Consultant

Level: Intermediate

Subjects: Artificial Intelligence, Automation

Duration: 165 minutes

Extend Copilot Studio agents to automate tasks in web browsers and desktop applications using computer use. Configure computer use tools with instructions, machine settings, credentials, and access controls, then monitor execution with the activity map and Dataverse logging.

Units in this learning path:

• Introduction
• Understand Computer Use
• Evaluate Computer Use Scenarios
• Configure Computer Use
• Monitor Computer Use
• Knowledge Check
• Summary

Products: Microsoft Copilot Studio

Roles: Maker

Level: Intermediate

Subjects: Artificial Intelligence, Automation

Duration: 35 minutes

Choose this module if you want to automate and validate model training with GitHub Actions and Azure Machine Learning pipelines.

Units in this learning path:

• Introduction
• Understand Business Problem
• Explore Solution Architecture
• Use for Model Training
• Connect Github Actions Azure
• Trigger Azure Machine Learning Jobs
• Exercise
• Knowledge Check
• Summary

Products: Azure Machine Learning, Github

Roles: Data Scientist

Level: Beginner

Subjects: Artificial Intelligence, Devops, Machine Learning

Duration: 51 minutes

Learn to automate tasks and workflows across systems, websites, and applications by using agent flows and computer use in Microsoft Copilot Studio.

Modules in this learning path:

• Design Integration Strategies Agents Copilot Studio
• Automate Workflows Agent Flows Copilot Studio
• Automate Desktop Web Tasks Computer Use Copilot Studio

Products: Microsoft Copilot Studio

Roles: Maker

Level: Intermediate

Subjects: Artificial Intelligence, Automation, Chatbots

Duration: 160 minutes

Discover the benefits of document automation and how it can streamline your workflow.

Units in this learning path:

• 1 Introduction
• 2 Install
• 3 Configure
• 4 Monitor
• 5 Check
• 6 Summary

Products: AI Builder, Power Platform, Power Automate

Roles: Maker

Level: Beginner

Subjects: Artificial Intelligence

Duration: 23 minutes