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Design machine learning operations MLOps solution with Azure Machine Learning Python SDK v2.

Units in this learning path:

• Introduction
• Explore Machine Learning Operations Solution Architecture
• Design Monitoring
• Design Retraining
• Case Study
• Summary

Products: Azure Machine Learning

Roles: Data Scientist

Level: Beginner

Subjects: Machine Learning

Duration: 36 minutes

Design a machine learning solution with Azure Machine Learning v2

Modules in this learning path:

• Design Data Ingestion Strategy for Machine Learning Projects
• Design Machine Learning Model Training Solution
• Design Model Deployment Solution
• Design Machine Learning Operations Solution

Products: Foundry Tools, Azure Databricks, Azure Devops, Azure Machine Learning, Azure Synapse Analytics, Github

Roles: Data Scientist

Level: Beginner

Subjects: Machine Learning

Duration: 127 minutes

Design a model deployment solution with Azure Machine Learning Python SDK v2

Units in this learning path:

• Introduction
• Understand How Model Consumed
• Decide Real Time Batch Deployment
• Knowledge Check
• Summary

Products: Azure Machine Learning

Roles: Data Scientist

Level: Beginner

Subjects: Artificial Intelligence, Machine Learning

Duration: 27 minutes

Design advanced prompting strategies for production AI agents in Microsoft Foundry. Implement multiturn reasoning architectures with dynamic context injection, build layered prompt injection defenses, design system prompt frameworks with autonomy-level control, design multi-intervention guardrail architectures covering all four attack surfaces, implement prompt versioning and optimization workflows, and design fine-tuning strategies and data preparation pipelines.

Units in this learning path:

• Introduction
• Design Multiturn Reason Prompt Architectures
• Implement Prompt Injection Defenses
• Build System Prompt Frameworks Agent Control
• Design Multi Intervention Guardrail Architectures
• Implement Prompt Version Optimization
• Automate Prompt Regression Optimization
• Design Fine Tune Strategy Data Pipelines
• Knowledge Check
• Summary

Products: Azure, Microsoft Foundry

Roles: AI Engineer, Solution Architect, Developer

Level: Advanced

Subjects: Artificial Intelligence

Duration: 93 minutes

Learn to design and configure agent conversations and responses using topics in Microsoft Copilot Studio. This learning path covers foundational topic authoring, delivering rich Adaptive Card responses, integrating topics with tools and agent flows, and generating AI-powered answers using generative answers nodes and custom prompts.

Modules in this learning path:

• Deliver Rich Agent Responses Adaptive Cards Copilot Studio
• Take Action Agent Conversations Topics Tools Copilot Studio
• Generate AI Powered Responses Generative Answers Copilot Studio

Products: Microsoft Copilot Studio

Roles: Maker

Level: Intermediate

Subjects: Artificial Intelligence, Automation, Chatbots

Duration: 137 minutes

This module you're introduced topics, a conversation between a user and an agent, and how to create them.

Units in this learning path:

• Topics Introduction
• Topics Overview
• Topics Create
• Topics Nodes
• Topics Branch
• Topics Manage
• Entities
• Variables
• Topics System
• Topics Voice
• Check
• Summary

Products: Microsoft Copilot Studio, Dynamics Contact Center

Roles: Maker, Functional Consultant, Developer

Level: Beginner, Intermediate

Subjects: Chatbots

Duration: 71 minutes

Learn to plan, design, and build multi-agent solutions in Microsoft Copilot Studio. You'll learn how to evaluate when multi-agent approaches are appropriate, architect solutions using child agents and connected agents, and implement both patterns to create organized, scalable agent systems.

Modules in this learning path:

• Design Multi Agent Solutions Copilot Studio
• Delegate Agent Tasks Child Agents Copilot Studio
• Build Multi Agent Solutions Connected Agents Copilot Studio
• Build Cross Platform Multi Agent Solutions Agent2agent Copilot Studio

Products: Microsoft Copilot Studio

Roles: Maker

Level: Intermediate

Subjects: Artificial Intelligence, Chatbots

Duration: 174 minutes

Design enterprise-scale agent communication architectures using the A2A protocol in Azure. Implement agent discovery registries with capability-based routing, design shared state management across distributed agent networks, configure context isolation for multitenant deployments, and build conflict detection and resolution mechanisms.

Units in this learning path:

• Introduction
• Design Agent Agent Ecosystems Scale
• Implement Distributed Shared State Management
• Design Context Isolation Share Strategies
• Build Conflict Detection Resolution Mechanisms
• Resolve Conflicts Maintain Audit Trails
• Knowledge Check
• Summary

Products: Azure, Microsoft Foundry, Foundry Agent Service, Azure Cosmos Db

Roles: AI Engineer, Solution Architect

Level: Advanced

Subjects: Artificial Intelligence

Duration: 48 minutes

Design evaluation frameworks for production multi-agent AI solutions using Microsoft Foundry. Define success metrics for coordination quality and system-level outcomes, implement calibrated LLM-as-judge patterns, design synthetic test datasets for agent collaboration scenarios, and build regression pipelines for behavioral drift detection.

Units in this learning path:

• Introduction
• Define Multi Agent Success Metrics
• Implement Model Judge Multi Agent Evaluation
• Design Synthetic Test Datasets Multi Agent
• Build Regression Test Agent Drift
• Knowledge Check
• Summary

Products: Azure, Microsoft Foundry

Roles: AI Engineer, Data Scientist, Solution Architect

Level: Advanced

Subjects: Artificial Intelligence, Machine Learning

Duration: 41 minutes

Learn to design scalable, secure, and customizable AI solutions using Microsoft platforms. Explore extensibility strategies for enterprise AI.

Units in this learning path:

• Introduction
• Design AI Solutions Custom Models Microsoft Foundry
• Design Agents Microsoft 365 Copilot
• Design Agent Extensibility Copilot Studio
• Design Agent Extensibility Model Context Protocol Copilot Studio
• Design Agents Automate Tasks Apps Websites Computer Copilot Studio
• Design Agent Behaviors Copilot Studio Reasoning Voice Mode
• Optimize Solution Design Agents Microsoft 365 Teams Sharepoint
• 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: 48 minutes

Design human-in-the-loop systems for production multi-agent workflows using Power Automate and Microsoft Teams. Implement confidence-threshold escalation architectures, design asynchronous approval workflows for high-stakes agent actions, build human feedback collection and active learning pipelines, and configure audit workflows that provide complete human oversight records for regulated environments.

Units in this learning path:

• Introduction
• Design Confidence Threshold Escalation
• Implement Approval Workflows Agent Actions
• Build Active Learn Human Feedback
• Configure Audit Workflows Regulated Decisions
• Knowledge Check
• Summary

Products: Azure, Microsoft Foundry, Power Automate

Roles: AI Engineer, Solution Architect

Level: Advanced

Subjects: Artificial Intelligence, App Development

Duration: 41 minutes

Learn to evaluate and select integration patterns for your Copilot Studio agents. Explore tools, knowledge sources, and agents as integration options and identify appropriate authentication models to design integrations that meet your enterprise requirements.

Units in this learning path:

• Introduction
• Explore Integration Landscape
• Compare Action Integration Patterns
• Authenticate Govern Integrations
• Select Integration Patterns
• Knowledge Check
• Summary

Products: Power Platform, Microsoft Copilot Studio

Roles: Functional Consultant, Maker

Level: Intermediate

Subjects: Artificial Intelligence

Duration: 46 minutes