Azure AI Agent Development Training in Copenhagen, Denmark

This comprehensive training program immerses participants in the world of Azure AI Agent development. Learners will explore the core concepts of agent-based AI systems, including design patterns, orchestration, and integration with Azure AI services. The course provides a practical, hands-on approach to building autonomous agents that can perceive, reason, and act within enterprise environments. Participants will gain the expertise to architect and implement scalable AI agents using Azure's powerful tools and frameworks.

Foundations of AI Agents on Azure

• Introduction to AI agents and their role in enterprise automation
• Overview of Azure AI services and tools for agent development
• Agent design patterns: reactive, deliberative, and hybrid
• Setting up the development environment with Azure SDK

Hands-on exercises

Building Agent Perception and Reasoning Capabilities

• Integrating with Azure Cognitive Services for text, image, and speech analysis
• Implementing knowledge bases with Azure Cognitive Search
• Using Azure OpenAI for natural language understanding and generation
• Designing agent decision trees and rule engines

Hands-on exercises

Agent Workflow and State Management

• Designing stateful agent workflows with Azure Logic Apps and Durable Functions
• Managing conversation context and session state
• Implementing error handling and retry policies
• Persisting agent state using Azure Storage

Hands-on exercises

Multi-Agent Orchestration and Coordination

• Architecting multi-agent systems for collaborative tasks
• Communication patterns between agents: message queues, event grids
• Coordinating agent actions with Azure Service Bus
• Handling conflicts and dependencies among agents

Hands-on exercises

Responsible AI and Agent Ethics

• Applying Microsoft's Responsible AI principles to agent design
• Implementing fairness, transparency, and accountability in agents
• Bias detection and mitigation in agent decisions
• Compliance with data privacy regulations (GDPR, CCPA)

Hands-on exercises

Monitoring, Logging, and Optimization

• Setting up monitoring with Azure Monitor and Application Insights
• Logging agent interactions and performance metrics
• Debugging agent behaviors using telemetry
• Optimizing agent response times and resource usage

Hands-on exercises

Deploying and Managing AI Agents in Production

• Deploying agents as Azure Functions or containerized services
• Scaling agents with Azure Kubernetes Service
• Implementing CI/CD pipelines for agent updates
• Security best practices for agent endpoints and data

Hands-on exercises