In a world where artificial intelligence is transforming the way we work and create, the AI-3024<\/em> training course stands out as a unique opportunity. This immersive program guides you through the process of imagining and designing a dream destination using the powerful features of Microsoft Copilot. You\u2019ll learn to harness generative AI to create visuals, engaging content, and even plan unique aspects of a fictional destination.<\/p>\n\n\n\n Designed for beginners and professionals eager to explore the basics of generative AI, this training offers practical, interactive exercises. From defining your idea to personalizing every detail, each step is crafted to awaken your creativity while enhancing your technical skills.<\/p>\n\n\n\n The approach of “Create a Dream Destination with AI” focuses on simplicity and progression. Even without prior knowledge, you\u2019ll be supported in discovering, learning, and implementing modern techniques that will enrich your professional or personal projects. Join us and transform your ideas into tangible creations with AI.<\/p>\n","protected":false},"featured_media":0,"parent":0,"menu_order":0,"template":"","editeurs":[5032,1488],"domaine":[2982,4249],"class_list":["post-84154","formations","type-formations","status-publish","hentry","editeurs-azure-ai-services","editeurs-microsoft","domaine-artificial-intelligence","domaine-content-creation-with-ai"],"acf":{"reference":"AI-3024","duree_nombre":1,"duree_unite":"jour","prix_virtuel":850,"prix_presentiel":900,"prix_blended":"","prix_elearning":"","views":571,"niveau":["Fondamental"],"role":"","certifiant":"","pdus":"","lieux":["Gen\u00e8ve","Lausanne"],"formats_dapprentissage":["presentiel","virtuel"],"examen_inclus":"Non certifiant","garanti":"","financement":["Temptraining"],"description_temptraining":"","description_caf":"","description_title":"Design a dream destination with AI (AI-3024) Training","objectifs":" Multi-agent AI systems represent the most advanced frontier in enterprise AI, where multiple specialised agents collaborate to solve problems that no single agent could handle alone. This one-day training at ITTA teaches you to design and build multi-agent architectures using the Azure AI Foundry SDK, giving you the skills to create sophisticated AI solutions that coordinate, delegate, and reason across complex workflows.<\/p>\r\n Our MCT-certified trainers deliver this official Microsoft curriculum at our Geneva and Lausanne centres and via virtual classroom. Microsoft cloud labs provide a fully configured development environment where you build multi-agent systems hands-on, experimenting with different orchestration patterns and observing how agents collaborate to complete tasks.<\/p>\r\n Organisations in French-speaking Switzerland are beginning to explore multi-agent AI for scenarios ranging from supply chain optimisation to financial analysis and IT operations. This training gives you a first-mover advantage by providing practical skills in a rapidly emerging technology area.<\/p>\r\n\r\n The training opens with a deep exploration of multi-agent system architectures. You will learn about different orchestration patterns: sequential pipelines where agents pass work from one to the next, parallel execution where agents work simultaneously on different aspects of a task, and hierarchical systems where a supervisor agent delegates to specialised worker agents.<\/p>\r\n Your trainer will explain when to decompose a problem into multiple agents versus using a single agent with multiple tools. You will study real-world multi-agent scenarios including research and analysis pipelines, code generation and review workflows, and complex data processing systems. These design principles form the foundation for building effective multi-agent solutions.<\/p>\r\n\r\n Azure AI Foundry SDK provides a comprehensive framework for building AI agents in Python. During the labs, you will create agents with defined roles, instructions, and tool access. You will implement agent communication protocols, shared memory mechanisms, and handoff patterns that allow agents to transfer control to one another based on task requirements.<\/p>\r\n You will build specialised agents with distinct capabilities: a research agent that searches and synthesises information, an analysis agent that processes data and generates insights, and a reporting agent that formats results for human consumption. These agents work together through the orchestration patterns you learned in the design module.<\/p>\r\n\r\n Effective multi-agent systems require robust orchestration. You will implement different coordination mechanisms using the Azure AI Foundry SDK, including round-robin scheduling, event-driven activation, and LLM-based routing where a language model decides which agent should handle each part of a task. Your trainer will demonstrate how to build supervisor agents that monitor progress, handle failures, and ensure tasks complete successfully.<\/p>\r\n You will also learn about state management in multi-agent systems, including how to share context between agents, maintain conversation history across agent handoffs, and implement checkpointing so that long-running workflows can recover from interruptions. These capabilities are essential for production-grade multi-agent deployments.<\/p>\r\n\r\n The final module addresses the unique challenges of evaluating and monitoring multi-agent systems. You will learn to assess individual agent performance as well as overall system effectiveness. Your trainer will cover techniques for tracing agent reasoning chains, identifying bottlenecks, and optimising the collaboration patterns between agents.<\/p>\r\n You will explore production deployment considerations including cost management across multiple agents, latency optimisation, and governance frameworks that ensure your multi-agent systems operate within approved boundaries. Security considerations are particularly important when agents have access to different data sources and tools, and you will learn patterns for implementing least-privilege access in multi-agent architectures.<\/p>\r\n\r\n How does this training differ from the AI-3022 agent training?<\/strong><\/p>\r\n The AI-3022 focuses on building individual AI agents with Azure AI Agent Service, while this training (AI-3024) covers multi-agent systems and orchestration patterns using the Azure AI Foundry SDK. The AI-3022 is a recommended prerequisite.<\/p>\r\n What programming skills are required?<\/strong><\/p>\r\n Intermediate to advanced Python proficiency is recommended, as you will work extensively with the Azure AI Foundry SDK to build and orchestrate multiple agents.<\/p>\r\n Can I attend this training remotely?<\/strong><\/p>\r\n Yes, ITTA offers this course both in-person at Geneva and Lausanne and through virtual classroom with full Microsoft cloud lab access.<\/p>\r\n What are typical multi-agent use cases?<\/strong><\/p>\r\n Common enterprise use cases include automated research and analysis, code generation with review and testing, complex data processing pipelines, customer service with specialist escalation, and IT operations automation.<\/p>\r\n How do I manage costs with multiple agents?<\/strong><\/p>\r\n The training covers cost optimisation strategies including efficient model selection for each agent role, prompt optimisation to reduce token usage, and caching mechanisms that prevent redundant model calls across agents.<\/p>\r\n","inclus_dans_ce_cours_virtuel":"A Training Course for All Profiles<\/h3>\n\n\n\n
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Why Choose the Azure AI Foundry Agent Development Training at ITTA?<\/h3>\r\n
Multi-Agent System Design Principles<\/h3>\r\n
Building Agents with Azure AI Foundry SDK<\/h3>\r\n
Agent Orchestration and Coordination<\/h3>\r\n
Evaluation, Monitoring, and Production Deployment<\/h3>\r\n
Frequently Asked Questions<\/h3>\r\n
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