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Azure AI Apps & Agents Developer (AI-103) Training in Canada Course Syllabus

Curriculum Designed by Experts

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The Azure AI Apps and Agents Developer Associate (Exam AI-103) Training program focuses on developing practical expertise in creating intelligent, cloud-native AI applications using the Azure AI platform. Participants will learn to design AI-powered solutions with Azure AI Foundry, Azure OpenAI Service, Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), Azure AI Search, vector embeddings, and autonomous AI agents. The course also covers application orchestration, enterprise data integration, API connectivity, security, Responsible AI, deployment, monitoring, and performance optimization. Through extensive hands-on labs and real-world implementation projects, learners will acquire the skills to develop scalable AI assistants, enterprise copilots, and intelligent automation solutions while building the technical proficiency required for the Azure AI Apps and Agents Developer Associate (Exam AI-103) certification.

  • Overview of AI-103 Certification
  • Azure AI Ecosystem
  • Azure AI Foundry Overview
  • Azure OpenAI Service
  • Enterprise AI Applications
  • AI Development Lifecycle
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  • Workspace Creation
  • Project Management
  • Model Catalog
  • Resource Configuration
  • Prompt Flow
  • AI Development Environment
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  • Large Language Models
  • Chat Completion APIs
  • Embeddings
  • Model Deployment
  • Content Filtering
  • Token Management
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  • Prompt Design Techniques
  • System Prompts
  • Prompt Chaining
  • Prompt Templates
  • Prompt Testing
  • Response Optimization
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  • RAG Architecture
  • Azure AI Search
  • Vector Search
  • Embedding Models
  • Knowledge Retrieval
  • Search Optimization
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  • AI Agent Fundamentals
  • Agent Planning
  • Tool Calling
  • Function Execution
  • Agent Memory
  • Multi-Agent Collaboration
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  • Conversation Design
  • Context Management
  • Session Handling
  • User Interaction
  • Response Generation
  • Conversation Evaluation
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  • REST API Integration
  • Azure Functions
  • Event-Driven Applications
  • External Data Sources
  • Business Application Integration
  • Authentication
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  • Identity Management
  • Access Control
  • Responsible AI Principles
  • Content Safety
  • Data Protection
  • Compliance
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  • Application Deployment
  • Azure App Service
  • Monitoring
  • Logging
  • Diagnostics
  • Troubleshooting
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  • Performance Tuning
  • Cost Optimization
  • Scalability
  • Resource Management
  • Load Testing
  • Best Practices
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  • AI Copilot Development
  • Enterprise Chatbots
  • Knowledge Assistants
  • Business Automation
  • End-to-End AI Agent Development
  • Certification Practice Project
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Azure AI Apps & Agents Developer (AI-103) Training in Canada Description

  • Build the skills required to design and develop enterprise-grade AI applications using the Azure AI platform and modern Generative AI technologies. 
  • Learn how to leverage Azure AI Foundry and Azure OpenAI Service to create intelligent applications powered by Large Language Models (LLMs). 
  • Gain practical expertise in designing effective prompts, optimizing AI responses, and improving application performance through prompt engineering techniques. 
  • Develop the ability to build Retrieval-Augmented Generation (RAG) solutions that combine enterprise knowledge with generative AI capabilities. 
  • Learn to create intelligent AI agents capable of reasoning, planning, using external tools, and completing multi-step business processes autonomously. 
  • Understand how to integrate AI applications with Azure services, enterprise APIs, databases, and business systems to deliver connected AI experiences. 
  • Implement secure AI application architectures by applying authentication, authorization, data protection, and Responsible AI principles. 
  • Learn deployment, monitoring, logging, and performance optimization techniques to maintain reliable, scalable, and production-ready AI applications. 
  • Explore agent orchestration, workflow automation, conversation management, and context handling for advanced enterprise AI scenarios. 
  • Strengthen cloud-native development skills by building AI solutions that are scalable, resilient, and aligned with enterprise best practices. 
  • Prepare for the Azure AI Apps and Agents Developer Associate (Exam AI-103) certification through hands-on implementation of the official exam objectives. 
  • Apply industry-standard development practices to build innovative AI assistants, enterprise copilots, intelligent automation solutions, and autonomous AI agents using Azure AI technologies. 

  • Build the skills required to design and develop enterprise-grade AI applications using the Azure AI platform and modern Generative AI technologies. 
  • Learn how to leverage Azure AI Foundry and Azure OpenAI Service to create intelligent applications powered by Large Language Models (LLMs). 
  • Gain practical expertise in designing effective prompts, optimizing AI responses, and improving application performance through prompt engineering techniques. 
  • Develop the ability to build Retrieval-Augmented Generation (RAG) solutions that combine enterprise knowledge with generative AI capabilities. 
  • Learn to create intelligent AI agents capable of reasoning, planning, using external tools, and completing multi-step business processes autonomously. 
  • Understand how to integrate AI applications with Azure services, enterprise APIs, databases, and business systems to deliver connected AI experiences. 
  • Implement secure AI application architectures by applying authentication, authorization, data protection, and Responsible AI principles. 
  • Learn deployment, monitoring, logging, and performance optimization techniques to maintain reliable, scalable, and production-ready AI applications. 
  • Explore agent orchestration, workflow automation, conversation management, and context handling for advanced enterprise AI scenarios. 
  • Strengthen cloud-native development skills by building AI solutions that are scalable, resilient, and aligned with enterprise best practices. 
  • Prepare for the Azure AI Apps and Agents Developer Associate (Exam AI-103) certification through hands-on implementation of the official exam objectives. 
  • Apply industry-standard development practices to build innovative AI assistants, enterprise copilots, intelligent automation solutions, and autonomous AI agents with Azure AI technologies. 

  • A basic understanding of cloud computing concepts and familiarity with the Azure platform is recommended. 
  • Experience in application development using languages such as Python, C#, JavaScript, or Java will be beneficial. 
  • Familiarity with software development principles, object-oriented programming, and API-based application design is advantageous. 
  • Basic knowledge of RESTful services, JSON, and HTTP protocols will help in integrating AI capabilities into applications. 
  • Understanding of Artificial Intelligence fundamentals, Generative AI concepts, and Large Language Models (LLMs) is helpful but not mandatory. 
  • Exposure to Azure services such as Azure App Service, Azure Functions, Azure Storage, or Azure AI services is an added advantage. 
  • Familiarity with source code management tools like Git and modern DevOps workflows can be beneficial for AI application development. 
  • Basic awareness of authentication, identity management, and application security concepts is recommended for developing secure AI solutions. 
  • Experience with databases, enterprise systems, or cloud-native application architecture will help participants understand real-world implementation scenarios. 
  • Enthusiasm to develop AI-powered applications, intelligent agents, enterprise copilots, and Retrieval-Augmented Generation (RAG) solutions while preparing for the Azure AI Apps and Agents Developer Associate (Exam AI-103) certification. 

Azure AI Apps & Agents Developer (AI-103) Training in Canada Certification

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Azure AI Apps & Agents Developer (AI-103) Training in Canada FAQ's

The AI-103 certification is designed for developers who want to build, integrate, and deploy enterprise AI applications and intelligent agents using Azure AI technologies. Unlike AI-901, which focuses on AI concepts and Azure AI fundamentals, AI-103 emphasizes hands-on development, AI application architecture, Retrieval-Augmented Generation (RAG), AI agents, and production-ready implementations.

The course covers Azure AI Foundry, Azure OpenAI Service, Azure AI Search, prompt engineering, Retrieval-Augmented Generation (RAG), vector search, Large Language Models (LLMs), AI agent development, application orchestration, enterprise integrations, deployment, monitoring, and Responsible AI practices required for modern AI application development.

Yes. Participants will work on implementation-focused projects that involve developing AI assistants, enterprise copilots, intelligent search applications, workflow automation solutions, and autonomous AI agents. These projects help learners gain practical experience in solving real-world business challenges using Azure AI services.

This course is ideal for software developers, cloud developers, AI engineers, solution architects, Azure professionals, and technology consultants who want to build enterprise-grade AI applications or prepare for the Azure AI Apps and Agents Developer Associate (Exam AI-103) certification.

Upon completion, participants will be able to design AI-powered applications, develop intelligent agents, integrate Large Language Models (LLMs) with enterprise systems, implement Retrieval-Augmented Generation (RAG), deploy scalable AI solutions on Azure, secure AI applications, monitor performance, and apply best practices for enterprise AI development.

For course-related queries, email enquiry@multisoftvirtualacademy.com or call +91 8130666206.

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