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Microsoft

Maximize the Cost Efficiency of AI Agents on Azure

Maximize the ROI of AI agent investments by making cost-conscious, informed decisions at every stage. This learning path offers actionable guidance, from identifying high-impact use cases and understanding cost drivers, to forecasting ROI, adopting best practices, designing scalable and effective architectures, and optimizing ongoing investments.

Modules in this learning path:

• Identify AI Agent Use Case
• AI Agent Cost Structure
• Forcast Agent Return Investment
• Adopt AI Agent Best Practice
• Maximize Cost Efficiency AI Agent Development
• Architect Scalable T Solutions
• Manage Optimize Agent Investment Azure

Products: Azure, Microsoft Foundry, Azure Monitor, Microsoft Copilot Studio

Roles: Developer, Administrator, Solution Architect, AI Engineer, Business Analyst, Business User, Technology Manager

Level: Beginner, Intermediate

Duration: 292 minutes

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Microsoft

Measure and mitigate risks for a generative AI app in Azure AI Foundry

Learn how to measure and mitigate risks for a generative AI app leveraging responsible AI tools and features within Azure AI Foundry.

Units in this learning path:

• Introduction
• Prepare
• Choose Deploy Model
• Upload Data Create Index
• Create System Message
• Create Content Filter
• Run Manual Evaluation
• Run Automated Evaluation
• Knowledge Check
• Summary

Products: Azure

Roles: Developer

Level: Beginner

Duration: 75 minutes

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Microsoft

Measure index performance in Azure Cosmos DB for NoSQL

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Measure the performance of an indexing policy in Azure Cosmos DB for NoSQL.

Units in this learning path:

• Introduction
• Enable Indexing Metrics
• Analyze Indexing Metrics Results
• Measure Query Cost
• Measure Point Operation Cost
• Exercise Optimize Containers Index Policy for Specific Query
• Knowledge Check
• Summary

Products: Azure Cosmos Db

Roles: Developer

Level: Intermediate

Subjects: Cloud Computing

Duration: 47 minutes

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Microsoft

Measure performance in Azure Cosmos DB for NoSQL

chart-line-duotone-light-full Data Science
We learn to use Azure Monitor to create and analyze monitoring data for Azure Cosmos DB.

Units in this learning path:

• Introduction
• Understand Azure Monitor
• Measure Throughput
• Observe Rate Limiting Events
• Query Logs
• Exercise Use Azure Monitor to Analyze Account
• Knowledge Check
• Summary

Products: Azure Cosmos Db

Roles: Developer

Level: Intermediate

Subjects: Data Management

Duration: 42 minutes

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Amazon Web Services

Media & Entertainment: Direct to Consumer and Broadcast Foundations - Knowledge Badge Readiness Path

This Learning Path helps you build knowledge on best practices for designing cloud-based video solutions and how to implement, configure and monitor Direct-to-Consumer and Broadcast workflows. This Learning Path presents domain-specific content…
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Amazon Web Services

Media & Entertainment: Direct-to-Consumer and Broadcast Foundations Knowledge Badge Assessment

gear-duotone-light-full Software Development
This assessment validates your comprehension of the Media & Entertainment: Direct-to-Consumer and Broadcast Foundations Knowledge Badge Readiness Path. The assessment questions are based on the courses in this learning path. Take all of the…
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Amazon Web Services

Media Glossary

gear-duotone-light-full Software Development
This is a foundations level digital glossary of essential terms and concepts fundamental to video compression, processing and delivery. It can be used as a standalone resource or a companion resource for other Media Services training.
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Amazon Web Services

Media Services Learning Plan

A Learning Plan pulls together training content for a particular role or solution, and organizes those assets from foundational to advanced. Learning Plans evolve over time; content may be added, removed or updated. Consequently, your completion…
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Amazon Web Services

Media Services Learning Plan (includes Labs)

gear-duotone-light-full Software Development
A Learning Plan pulls together training content for a particular role or solution, and organizes those assets from foundational to advanced. Learning Plans evolve over time; content may be added, removed or updated. Consequently, your completion…
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Microsoft

Memory, State, and Evaluation

This module introduces the foundations of agent memory, state management, and evaluation. You'll learn how to structure memory, persist progress through GitHub artifacts, maintain consistency across environments, and define clear signals for success.

Units in this learning path:

• Introduction
• Agent Memory Strategies
• Agent State Context Drift
• Memory State Continuity
• Evaluation Signals Quality Gates
• Agent Failures Behavior Improvement
• Knowledge Check
• Summary

Products: Github

Roles: Devops Engineer, Administrator, Developer, Solution Architect

Level: Intermediate

Duration: 50 minutes

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Microsoft

Microsoft 365 Copilot and Copilot agents

In this module, you'll learn how Microsoft 365 Copilot and Copilot agents enhance productivity and streamline workflows by providing intelligent assistance within Microsoft 365 applications.

Units in this learning path:

• Introduction
• Microsoft 365 Copilot
• Microsoft 365 Copilot Agents
• Types of Agents
• How to Build Agents
• Additional Resources
• Summary

Products: Microsoft 365 Copilot

Roles: Business Owner, Business User, Technology Manager

Level: Beginner

Duration: 12 minutes

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Microsoft

Microsoft Azure Well-Architected Framework - Cost Optimization

Apply cost optimization guidance in your architecture to sustain and improve your return on investment (ROI).

Units in this learning path:

• 1 Introduction
• Develop Cost Management Discipline
• Design with Cost Efficiency Mindset
• Design for Usage Optimization
• Design for Rate Optimization
• Monitor and Optimize Over Time
• 6 Summary

Products: Azure, Azure Cost Management, Azure Advisor, Azure Monitor

Roles: Solution Architect

Level: Intermediate

Subjects: Infrastructure

Duration: 64 minutes

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