Microsoft AI-103 Training Course – Developing AI Apps and Agents on Azure

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GOOD TO KNOW

This training course includes many exercises (60% practice) for better learning. Sessions are guaranteed from 1 registered participant (except in cases of force majeure). A preliminary interview takes place between the participant and/or a company representative to properly account for the participant’s profile (level, needs, professional context, challenges…).
Assessment: during the training, the trainer evaluates the pedagogical progress of participants through MCQs, role-play scenarios and practical exercises. Participants receive a certificate of skills validation at the end of the training.

This training course is part of our Artificial Intelligence Training Courses. Explore our other AI training courses to fully leverage machine learning, LLMs and generative AI.

Objectives of the Microsoft AI-103 Training Course

Upon completion of the training, the participant will be able to:

• Plan, provision and manage an Azure AI solution in Microsoft Foundry: service selection, deployment options, networking and private endpoints, RBAC, quotas, cost management, monitoring (Application Insights) and responsible AI.
• Design and implement generative AI and agentic solutions: Foundry projects, prompt engineering, Azure OpenAI models, RAG pipelines with Azure AI Search, multi-agent orchestration, conversation memory and response evaluation.
• Develop computer vision solutions: image analysis, OCR, image and video generation from prompts, multimodal processing.
• Implement LLM-first text analysis solutions: entity extraction, classification, summarisation, translation and speech recognition with Azure AI Language and Speech.
• Build information extraction pipelines with Azure AI Document Intelligence and Content Understanding (documents, images, audio, video) to power RAG scenarios.

Prerequisites

• Application development experience in Python.
• Familiarity with general AI, generative AI concepts and Azure services.
• Proficiency with REST APIs and SDKs to integrate Azure AI services.
• Knowledge of Azure fundamentals (portal, resources); AI-900 or equivalent recommended.
• Because each participant is unique, a personalised interview with our expert allows us to design a training course perfectly aligned with their objectives, level and professional challenges.

Target Audience

• Developers and Azure AI engineers building apps and agents with Microsoft Foundry.
• Python developers integrating AI into business applications.
• Technical teams aiming to master generative AI, agents, RAG and Azure AI services.