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Learn how to craft engaging and informative prompts with Microsoft Copilot. This module will teach you the basic concepts of prompt engineering, the elements of an effective prompt, and best practices in prompting.

Units in this learning path:

• Introduction
• Prompt Based Generative AI Model
• What Is Prompt Engineering
• Identify the Types of Prompt Instructions
• Create Effective Prompts
• 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: 20 minutes

Discover AI-powered image generators. Learn about image creation tools like Microsoft Image Creator. Understand their potential applications in the workplace and training settings and discover best practices for optimal results. Enhance your skills and transform your creative process with AI-powered image generators.

Units in this learning path:

• Introduction
• Enhance Trainings Using AI Powered Image Generators
• Microsoft Image Creator Your Training AI Assistant
• Use a Prompt That Paints a Clear Picture
• Generate Different Image Styles
• 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: 26 minutes

Machine learning is the foundation for predictive modeling and artificial intelligence. Learn some of the core principles of machine learning and how to use common tools and frameworks to train, evaluate, and use machine learning models.

Modules in this learning path:

• Fundamentals Machine Learning
• Explore Analyze Data with Python
• Train Evaluate Regression Models
• Train Evaluate Classification Models
• Train Evaluate Cluster Models
• Train Evaluate Deep Learn Models

Products: Azure Machine Learning

Roles: AI Engineer, Data Scientist, Developer, Student

Level: Intermediate

Subjects: Machine Learning

Duration: 379 minutes

This course provides an explanation of how to create a workflow to automate the generation of captions, alternate language subtitles, and alternate language audio tracks using Amazon's AI Services: Amazon Transcribe, Amazon Translate, and Amazon…

Learn how to create your first agent in Microsoft Copilot Studio.

Units in this learning path:

• Introduction
• Try Conversation
• Create Topic
• Publish Demo
• Check
• Summary

Products: Ms Copilot

Roles: Maker, Functional Consultant

Level: Beginner

Subjects: Chatbots

Duration: 26 minutes

Govern what agents can invoke using Agent 365 tools, including MCP servers, and curate the ongoing agent estate using Registry actions beyond initial onboarding.

Units in this learning path:

• Introduction
• Review Approve Block Tools
• Exercise Review Approve Block Tool
• Govern Bring Your Own Model Context Protocol Servers
• Exercise Review Bring Your Own Model Context Protocol Server Registration
• Perform Registry Curation
• Exercise Reassign Active Agent Owner
• Audit Agent Estate Publisher Channel
• Knowledge Check
• Summary

Products: M365, M365 Admin Center

Roles: Administrator

Level: Advanced

Subjects: Artificial Intelligence

Duration: 67 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…

In this course, you learn about customizing and evaluating large language models (LLMs) using Amazon SageMaker JumpStart. Amazon SageMaker JumpStart is a machine learning (ML) hub with foundation models, built-in algorithms, and prebuilt ML…

This course provides a high-level explanation of data strategy. You will explore what data strategy is and how it aligns with overall business objectives. You will learn how to create a data-driven culture and better understand transformative…

Debug and respond to production incidents in multi-agent AI solutions in Azure. Implement agent replay capabilities that reproduce complex multi-agent failures, apply structured root cause analysis procedures for multi-agent incident diagnosis, configure automated detection and remediation for common agent failure patterns, and establish incident response and post-mortem processes adapted to the characteristics of AI agent system failures.

Units in this learning path:

• Introduction
• Implement Agent Replay Production Debug
• Design Root Cause Analysis Agent Failures
• Configure Automated Detection Remediation
• Establish Incident Response Postmortem Processes
• Knowledge Check
• Summary

Products: Azure, Microsoft Foundry, Azure Monitor

Roles: AI Engineer, Devops Engineer, Solution Architect

Level: Advanced

Subjects: Artificial Intelligence, Devops

Duration: 40 minutes

This Playlist is an unordered collection of supplemental labs that have relevance to the classroom training Deep Learning on AWS. Students of that class may find the labs in this playlist to be useful hands-on practice.

Discover AI use cases and scenarios for manufacturing. Get familiar with Microsoft AI tools and services for manufacturing. Learn from real success stories.

Units in this learning path:

• Introduction
• 1b AI Manufacturing
• Goals Challenges Manufacturing
• Opportunities AI Manufacturing
• Microsoft AI Use Cases
• Discover AI Cuts Development Time
• Knowledge Check
• Summary

Products: Azure Openai, Industry Solutions, Mscloud Manufacturing

Roles: Business Owner, Business User

Level: Beginner

Subjects: Artificial Intelligence, Data Management

Duration: 33 minutes