Advanced AI on Microsoft Azure

The training covers Azure’s advanced AI ecosystem: Azure OpenAI, Azure AI Foundry, Azure AI Search, Azure Machine Learning, multi-agent orchestration and enterprise RAG solutions. At MFE-IT, the goal is to enable you to design and deploy robust, secure, industrial AI architectures on Azure.

AI-900 and AI-102 are Microsoft certification paths (fundamentals and engineer). This Advanced AI training goes further: RAG architecture patterns, agents, evaluation, security, responsibility and production deployment at scale. Ideal for experienced architects and data scientists on Azure.

Prior Azure practice (portal, core services), an AI/ML background and development notions (Python first) are strongly recommended. MFE-IT adapts the level to the team and can prepare beforehand via AI-900 or AI-102 if needed.

Yes. The programme covers AI agent architecture, implementing a RAG (Retrieval-Augmented Generation) system, developing an agent with Azure OpenAI, security and control, and industrialisation.

RAG (Retrieval-Augmented Generation) enriches an LLM’s responses by retrieving information from your own data sources, improving relevance and reducing hallucinations. The course shows how to implement it on Azure OpenAI.

The training lasts 3 days (18 hours), remote or on-site. An intensive format focused on enterprise architectures and use cases.

Our sessions are guaranteed from a single registrant, with no risk of postponement (except in cases of force majeure). A prior interview takes place between the participant and a company representative to fully take into account the participant’s profile (level, needs, professional context, challenges, etc.). Evaluation: during the training, the trainer assesses participants’ learning progress through quizzes, role-plays and practical exercises. Participants receive a certificate of achievement at the end of the training. This training is part of our Artificial Intelligence training catalogue.

• By the end of the training, the participant will be able to:
• Master the technical architecture of AI agents and distinguish RAG, fine-tuning and hybrid orchestration approaches.
• Implement a complete RAG pipeline including document ingestion, chunking, vector indexing and semantic search on Azure.
• Develop a conversational agent connected to Azure OpenAI, able to manage a rich, structured dialogue context.
• Implement security, access-management and cost-control best practices for a production agent.
• Industrialise the deployment of an AI agent via CI/CD pipelines and set up supervision and performance optimisation.

Command of the Microsoft Azure environment (portal, resource groups, core services). Development experience with at least one of: Python, C# or JavaScript. Basic knowledge of REST APIs and web-service calls. Because every participant is unique, a personalised interview with our expert lets us design a course aligned with their goals, level and challenges.

Developers and software engineers wanting to integrate AI agents into their business applications. Cloud architects and DevOps engineers seeking to industrialise AI solutions on Azure. AI consultants and Tech Leads wanting to upskill on RAG architectures and advanced conversational agents.