Is the training Qualiopi certified?

Yes, Learni is a Qualiopi-certified training organization. This certification guarantees the quality of our courses and enables funding through OPCO and other mechanisms.

How can I fund my training?

Our courses are eligible for OPCO funding. Learni supports you through the funding process. A personalized quote is available upon request.

What are the prerequisites for this training?

The prerequisites for the Training Document AI Pipelines - Automating AI Document Processing 2026 training are: Solid foundations in Python, machine learning, and document processing APIs. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Training Document AI Pipelines - Automating AI Document Processing 2026 training is available in distanciel. The format can be adapted to your needs (inter, intra, custom).

Training Document AI Pipelines - Automating AI D... | Learni

The story of Learni

Founded by passionate advocates of learning and innovation, Learni set out to make professional training accessible to everyone, everywhere in the world. Our team works in the largest cities such as Paris, Lyon, Marseille, and internationally, to support talents and organizations in their skills development.

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Methods, approaches, and teaching resources

The Training Document AI Pipelines - Automating AI Document Processing 2026 training is delivered in-person or remotely (blended-learning, e-learning, virtual classroom, remote in-person). At Learni, a Qualiopi-certified training organization, each program is designed to maximize skills acquisition, regardless of the training mode chosen.

The trainer alternates between demonstrative, interrogative, and active methods (through practical exercises and/or real-world scenarios). This pedagogical approach ensures concrete and directly applicable learning in the workplace.

Teaching resources provided

To ensure the quality of the Training Document AI Pipelines - Automating AI Document Processing 2026 training, Learni provides the following teaching resources:

Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, video projector or interactive touchscreen (for remote sessions)
Training environments installed on workstations or accessible online
Course materials, practical exercises, and supplementary resources
Post-training access to materials and teaching resources

For in-house training at a location external to Learni, the client ensures and commits to having all necessary teaching materials (IT equipment, internet connection...) for the proper conduct of the training action in accordance with the prerequisites indicated in the communicated training program.

* contact us for remote feasibility** ratio varies depending on the training followed

Assessment methods

The assessment of skills acquired during the Training Document AI Pipelines - Automating AI Document Processing 2026 training is carried out through:

During training: case studies, practical exercises, and professional scenarios
At the end of training: self-assessment questionnaire and skills evaluation by the trainer
After training: training completion certificate detailing acquired skills

Training accessibility

Learni is committed to the accessibility of its professional training programs. All our training programs are accessible to people with disabilities. Our teams are available to adapt teaching methods to your specific needs. Do not hesitate to contact us for any accommodation request.

Training objectives

Master Document AI pipeline architectures for professional processing

Develop automated workflows for document extraction and analysis in business environments

Implement scalable pipelines using cloud tools like Google Document AI

Optimize multimodal models for complex documents in 2026

Design certified RAG solutions for augmented search on documents

Deploy secure and high-performance pipelines in production

Acquire certified skills to boost professional productivity

Training program

Module 1Fundamentals of Document AI Pipelines: Tool Setup and Basic Workflows (Google Document AI, AWS Textract)

Dive into quick setup of cloud environments dedicated to Document AI pipelines, exploration of key APIs for OCR and structured extraction, implementation of initial automated workflows on various PDF documents and images, practical exercises on real business cases like invoices and contracts, creation of custom Python scripts for operation chaining, validation of results with accuracy metrics, and generation of initial reports to assess professional efficiency.

Module 2Advanced Document AI Pipelines: NLP Integration and Multimodal Models (Azure Form Recognizer, Hugging Face)

Deepen the enhancement of Document AI pipelines with NLP for named entity recognition and semantic classification, integration with pre-trained multimodal models for visual-textual analysis, development of hybrid pipelines handling tables and free-form content, collaborative workshops on real business datasets, performance optimization via batching and caching, production of deliverables like interactive monitoring dashboards, and A/B testing to measure professional processing time savings.

Module 3Scalable Document AI Pipelines: Orchestration and RAG (LangChain, Kubernetes)

Master orchestration of Document AI pipelines using frameworks like LangChain for Retrieval-Augmented Generation, deployment on Kubernetes clusters for horizontal scalability, integration of vector stores for vector search on large document volumes, intensive exercises on massive ingestion of business corpora, configuration of event-driven triggers for real-time workflows, securing sensitive data with encryption and GDPR audits, and building a complete RAG prototype with qualitative and quantitative evaluation of generated responses.

Module 4Production and 2026 Trends in Document AI Pipelines: CI/CD Deployment and Generative AI

Finalize Document AI pipelines for production with CI/CD pipelines using GitHub Actions and Prometheus monitoring, integration of generative AI like GPT-4o for advanced document synthesis and summarization, anticipation of 2026 trends with autonomous agents and native multimodality, workshops on cloud cost/performance optimization, end-to-end deployment of your ongoing project, expert trainer code review, and certified action plan for immediate business integration with measurable ROI.