Azure AI Document Intelligence AI-3002 Training Course – Developing Document Analysis Solutions
- Price
- Duration
- Number of hours
Each session will take place even if only one person is registered (except in cases of force majeure).
Description of the Azure AI Document Intelligence AI-3002 Training Course
This Azure AI Document Intelligence – Developing Document Analysis Solutions training course teaches you how to design solutions capable of automatically extracting and structuring information from documents. You will discover how to leverage pre-built models, train custom models and create composed models to handle various formats. The programme also covers the use of OCR, integration with Azure Cognitive Search and the development of custom skills. Through practical exercises, you will be able to automate complex document processes. By the end, you will know how to build high-performance document intelligence solutions on Azure.
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 numerous exercises (60% practical) to enhance learning. Each session will take place even if only one person is registered (except in cases of force majeure). A preliminary interview is held between the participant and/or a company representative in order to fully assess the participant’s profile (level, needs, professional context, challenges, etc.).
Assessment : during the training course, the trainer assesses the participants’ progress through multiple-choice questions, role-playing exercises and practical work. Participants receive a certificate of completion at the end of the training course.
Objectives of the Azure AI Document Intelligence AI-3002 Training Course
By the end of this training course, each participant will be able to:
- Plan and design an Azure AI Document Intelligence solution tailored to business needs.
- Use pre-built models to analyse and extract data from documents.
- Automate data extraction from forms using OCR capabilities and custom models.
- Create a composed Form Recognizer model capable of handling multiple document formats.
- Develop a custom skill to enrich an Azure Cognitive Search pipeline.
Prerequisites for this Azure AI Document Intelligence AI-3002 Training Course
- Solid understanding of the creation and use of document intelligence models.
- Experience in Python or C# programming and familiarity with the Azure portal and provisioning of Azure AI resources.
- Because each participant is unique, a personalised interview with our expert allows us to design a training programme perfectly aligned with their objectives, level and professional challenges.
Target Audience
This training course is designed for:
- AI engineers, data engineers and developers wishing to design document intelligence solutions on Azure.
Detailed Programme of the Azure AI Document Intelligence AI-3002 Training Course
Planning a Document Intelligence Solution
Describe the components of an Azure AI Document Intelligence solution. Create and connect to the necessary Azure resources. Choose between pre-built, custom or composed models.
Using Pre-built Models
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).
Extracting Data from Forms
Automate document processes using layout services and custom models. Use OCR via SDK, REST API or Document Intelligence Studio. Develop and test models tailored to business needs.
Creating Composed Models
Identify the problems solved by custom models. Train a model for forms with complex structures. Design a model capable of analysing multiple document formats.
Integration with Azure Cognitive Search
Understand how a custom skill enriches a search pipeline. Develop a skill that calls a Form Analyser solution to retrieve data.
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Would you like to schedule this training course on a specific date ? Contact us by email or by filling out the contact form.