Azure AI Vision AI-3004 Training Course - Developing Computer Vision Solutions
- Price
- Duration
- Number of hours
Our sessions are guaranteed from 1 registered participant (except in cases of force majeure).
Description of the Azure AI Vision AI-3004 Training Course
This Azure AI Vision training course – Developing Computer Vision Solutions teaches you to design applications capable of analysing images and videos using artificial intelligence. You will discover how to classify images, recognise faces, read text with OCR and exploit custom models to extract relevant information. The programme also covers the integration of Azure AI services and the automation of visual processing. Practical workshops will allow you to create a complete and operational solution. Upon completion, you will be able to deploy intelligent applications based on computer vision.
Format
Remote (recorded sessions).
It is possible to customise the training content to meet the needs of your professional project.
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.
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 for the Azure AI Vision AI-3004 Training Course
- 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.
Detailed Programme of the Azure AI Vision AI-3004 Training Course
Analysing Images
- Provisioning an Azure AI Vision resource.
- Analysing an image and generating smart thumbnails.
- Removing backgrounds and extracting visual information.
Reading Text in Images
Identify business use cases suited to pre-built models. Analyse documents using the Read, Layout or General Document models. Process specialised documents (financial, tax, identity documents).
Detecting, Analysing and Recognising Faces
- Identifying options for face detection and analysis.
- Comparing and matching detected faces.
- Implementing facial recognition solutions.
Image Classification with Custom Models
- Understanding custom model types.
- Labelling images and training a model.
- Creating a client application for classification.
Video Analysis
- Using Azure Video Indexer to identify objects, text and scenes.
- Transforming videos into actionable data.
Creating AI Vision Applications
- Using pre-trained or custom models to extract visual insights.
- Automating image processing tasks and improving decision-making.
Best Practices and Responsible AI
- Ethical considerations for solutions based on facial analysis.
- Securing and governing visual data.
Practical Workshops
- Deploying a computer vision model.
- Building an application capable of analysing images and videos.
- Testing a complete visual analysis pipeline.
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