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.
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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.
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.
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.
FAQ – Azure AI Vision AI-3004 Training
What is Azure AI Vision?
Azure AI Vision (formerly Computer Vision) is Microsoft Azure’s AI service dedicated to image and video analysis: automatic description, object detection, tags, OCR, facial recognition, content moderation, custom images (Custom Vision), and the Face API. The MFE-IT AI-3004 training shows you how to integrate these capabilities into your applications in 1 day (6 hours).
What is the difference between Azure AI Vision and Azure AI Document Intelligence?
Azure AI Vision targets general-purpose image analysis (objects, scenes, simple OCR, faces). Azure AI Document Intelligence (formerly Form Recognizer) specializes in the structured extraction of data from documents (invoices, contracts, receipts, forms) with understanding of tables, key-value fields and custom models. The two complement each other and MFE-IT also offers a dedicated AI-3002 training on Document Intelligence.
What are typical use cases for Azure AI Vision?
Common use cases: user-generated content moderation, OCR for digitizing documents, industrial quality control (defect detection via Custom Vision), accessibility (auto image description for visually impaired users), retail (customer counting, shelf analysis), security (intrusion detection, license plate recognition). MFE-IT adapts the training to your business use cases.
How long is the Azure AI Vision AI-3004 training?
The MFE-IT training lasts 1 day (6 hours), in a 100% custom format with a maximum of 3 participants per session. It covers: overview of AI Vision services, image analysis (description, tags, objects), OCR (Read API), Spatial Analysis, Custom Vision for business models, Face API, and integration into .NET / Python applications. 30 days of post-training support.
Would you like to know about upcoming sessions ?
Would you like to schedule this training course on a specific date ? Contact us by email or by filling out the contact form.