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Learn how to configure agents to behave autonomously.

Modules in this learning path:

• Create Copilots Copilot Studio
• Copilot Tools Online Workshop
• Autonomous Agents Online Workshop

Products: Power Platform, Microsoft Copilot Studio

Roles: Maker

Level: Intermediate

Subjects: Generative AI, Automation, Process Workflow

Duration: 120 minutes

This module demonstrates how to use Copilot to manage volunteers within your nonprofit organization. Learners review several prompts used for generating volunteer recruitment, training, and recognition materials, and then they practice using and generating their own prompts.

Units in this learning path:

• Introduction
• Elevate Volunteer Recruitment
• Exercise Volunteer Recruitment
• Simplify Volunteer Training
• Exercise Volunteer Training
• Boost Volunteer Retention
• Exercise Volunteer Retention
• Knowledge Check
• Summary

Products: AI Services, M365 Apps, Ms Copilot

Roles: Functional Consultant, Higher Ed Educator, School Leader, K 12 Educator, Business User, Business Owner

Level: Beginner

Subjects: Artificial Intelligence, Business Applications

Duration: 40 minutes

Your LinkedIn profile is a gateway to networking, career growth, and personal branding. By leveraging Microsoft Copilot, you can refine your headline, summary, and experience sections, ensuring that your profile highlights your strengths and potential, in addition to serving as a valuable interview preparation tool.

Units in this learning path:

• Introduction
• Importance Strong Linkedin Presence
• Refine Your Linkedin Headline Summary
• Tips Great Linkedin Profile Photo
• Enhance Your Linkedin Experience Section
• Optimize Skills Endorsements on Linkedin
• Master Job Interviews for Students
• Knowledge Check
• Summary

Products: Microsoft Edge, Ms Copilot

Roles: K 12 Educator, Student, Higher Ed Educator

Level: Beginner

Subjects: Artificial Intelligence, Generative AI

Duration: 79 minutes

This Learning Path explores how prebuilt agents in Microsoft 365 Copilot enable users to streamline tasks, retrieve information efficiently, and enhance productivity through AI-powered conversational tools.

Modules in this learning path:

• Explore Prebuilt Microsoft 365 Copilot Agents

Products: Microsoft 365 Copilot

Roles: AI Edge Engineer, Business User

Level: Beginner

Subjects: Artificial Intelligence

Duration: 72 minutes

Azure Language gives you the power of Natural Language Processing (NLP) to automatically understand and analyze text. You can use that power to enhance your search solutions.

Units in this learning path:

• Introduction
• Explore Available Features of Azure Cognitive Service for Language
• Enrich Cognitive Search Index Custom Classes
• Exercise Enrich Cognitive Custom Classes
• Knowledge Check
• Summary

Products: Azure, Azure Cognitive Search

Roles: AI Engineer, Developer, Solution Architect, Student

Level: Advanced

Subjects: Artificial Intelligence

Duration: 52 minutes

In this course, you will be introduced to the fundamentals of crafting effective prompts. You will gain an understanding of how to refine and optimize prompts for a range of use cases. You will also explore techniques like zero-shot, few-shot, and…

Learn how to evaluate and optimize AI agents systematically through structured experiments that measure quality, cost, and performance. Design evaluation metrics, apply Git-based workflows, create consistent scoring rubrics, and make evidence-based optimization decisions.

Units in this learning path:

• Introduction
• Design Evaluation Experiments
• Git Based Experimentation Workflow
• Evaluate Agent Responses
• Exercise
• Knowledge Check
• Summary

Products: Azure, Azure AI Foundry

Roles: AI Engineer, Developer, Solution Architect

Level: Intermediate

Subjects: Artificial Intelligence, Machine Learning

Duration: 66 minutes

Evaluating copilots is essential to ensure your generative AI applications meet user needs, provide accurate responses, and continuously improve over time. Discover how to assess and optimize the performance of your generative AI applications using the tools and features available in the Azure AI Studio.

Units in this learning path:

• Introduction
• Assess Models
• Manual Evaluations
• Automated Evaluations
• Exercise
• Knowledge Check
• Summary

Products: Azure AI Foundry

Roles: Data Scientist, AI Engineer

Level: Intermediate

Subjects: Artificial Intelligence, Machine Learning, Natural Language Processing

Duration: 38 minutes

In this course, you will review the scope of the AWS Certified AI Practitioner (AIF-C01) exam, including the intended audience and exam topics.This course is part of 4 steps that you can use to prepare for your exam with confidence. To follow the…

In this course, you will review the scope of the AWS Certified Machine Learning - Specialty (MLS-C01) exam, including the intended audience and exam topics.This course is part of 4 steps that you can use to prepare for your exam with confidence.…

In this course, you will review the scope of the AWS Certified Machine Learning Engineer - Associate (MLA-C01) exam, including the intended audience and exam topics.This course is part of 4 steps that you can use to prepare for your exam with…

This course is an overview to the Exam Prep Plan. It outlines each of the 4 steps. It also provides guidance on how much time you should spend on each step. If you feel you need to refresh your AWS knowledge and skills before preparing, enroll in…