Azure AI Vision AI-3004 Training Course – Developing Computer Vision Solutions

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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 Azure AI Vision AI-3004 Training Course

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

• Integrate image analysis features into applications using Azure AI Vision.
• Create custom models for classification and object detection.
• Implement optical character recognition (OCR) to read text in images.
• Detect and recognise faces using advanced AI techniques.
• Extract relevant information from videos with Azure Video Indexer.
• Design and deploy complete computer vision solutions to automate visual analysis.

Prerequisites

• Familiarity with Azure and the Azure portal.
• Programming experience, particularly in C# or Python.
• Understanding of APIs and SDKs for building solutions on Azure.
• 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

• Software developers wishing to create computer vision applications based on Azure AI.
• AI and data engineers involved in creating and deploying artificial intelligence solutions.
• Technical architects working on applications that exploit visual models.