Azure AI Agent Development Training in Ontario

Azure AI Agent Development Training in Ontario, Canada

Master the creation and deployment of intelligent AI agents on Microsoft Azure. This training equips professionals with the skills to build, orchestrate, and manage AI agents for enterprise solutions.

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Azure AI Agent Development Training is a professional training program delivered by ProgNXT in Ontario, Canada. ProgNXT, a globally recognized corporate training provider in 55+ countries, offers this Azure AI Agent Development Training course with hands-on, instructor-led sessions. This comprehensive training program immerses participants in the world of Azure AI Agent development. Learners will explore the core concepts of...

Expert Panel

Designed by the ProgNXT AI & Data Science Expert Panel, specializing in Generative AI, Machine Learning, and ChatGPT applications

ProgNXT AI & Data Science Expert Panel

Course Code: GPV61
14 Hrs
Last Updated: July 2026

Course Rating5/5

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.

Welcome to the official Azure AI Agent Development Training certification program in Ontario, Canada. This comprehensive training is designed to elevate your professional skills and provide you with practical, industry-relevant knowledge locally. As a globally recognized corporate training provider operating in 55+ countries, ProgNXT ensures that our curriculum meets the highest standards of excellence.

Whether you are looking to upskill your team or advance your personal career, our expert-led sessions will guide you through the core concepts of this domain. Upon successful completion of the 14 Hrs program, participants will receive a globally accepted certification, demonstrating their proficiency and readiness to tackle complex challenges in the field.

Familiarity with Microsoft Azure portal and basic cloud concepts
Understanding of Python programming fundamentals
Basic knowledge of machine learning and AI concepts
Experience with REST APIs and JSON data formats

Upon completion, participants will be able to design, build, and deploy intelligent AI agents on the Azure platform. They will have the practical skills to create autonomous systems that leverage Azure AI services for perception, reasoning, and action, and to orchestrate multi-agent workflows for complex enterprise scenarios. Graduates will be prepared to lead AI agent initiatives and drive innovation in their organizations.

Design and develop autonomous AI agents using Azure services
Implement agent workflows with state management and decision logic
Integrate agents with Azure Cognitive Services for vision, language, and speech
Orchestrate multi-agent systems for complex tasks
Apply ethical AI guidelines and ensure compliance
Monitor and optimize agent performance in production

Understanding AI agent architectures and patterns
Designing and implementing agent workflows
Integrating with Azure AI services for perception and reasoning
Building multi-agent systems and orchestrating interactions
Applying responsible AI principles to agent development
Implementing monitoring and logging for agent performance
Testing and debugging agent behaviors

Participants who successfully complete the training will receive an ProgNXT Certification in Azure AI Agent Development Training, validating their expertise in building intelligent agents on Microsoft Azure. This certification demonstrates proficiency in agent architecture, workflow design, multi-agent orchestration, and responsible AI practices.

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

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Target Audience

AI developers and engineers
Cloud solution architects
Data scientists looking to expand into agent-based systems
Technical leads and project managers overseeing AI projects

Evaluation

Hands-on lab exercises and assignments
Quizzes to reinforce key concepts
Final practical assessment: design and implement an AI agent solution
Participation and engagement in discussions

Azure AI Agent Development Training Events in ontario

Online Events

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More Upcoming Session Dates

October 2026

📍 Ontario, Canada

26th Oct 2026→27th Oct 2026

🌐 Online Instructor-Led

28th Oct 2026→29th Oct 2026

November 2026

📍 Ontario, Canada

5th Nov 2026→6th Nov 2026

🌐 Online Instructor-Led

10th Nov 2026→11th Nov 2026

🌐 Online Instructor-Led

22nd Nov 2026→23rd Nov 2026

📍 Ontario, Canada

27th Nov 2026→28th Nov 2026

December 2026

📍 Ontario, Canada

2nd Dec 2026→3rd Dec 2026

🌐 Online Instructor-Led

7th Dec 2026→8th Dec 2026

📍 Ontario, Canada

21st Dec 2026→22nd Dec 2026

🌐 Online Instructor-Led

23rd Dec 2026→24th Dec 2026

Events for other courses in Ontario, Canada

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Azure AI Agent Development Training in Ontario