Rigorous trainer selection
Each trainer is validated on three criteria: hands-on field expertise, proven pedagogy and alignment with your industry.
- Triple validation: technical, pedagogical, sectoral.
- Minimum rating 4.8/5 over the last 12 sessions.
1 seat held for the next session
30:00Held for another
Request a call back and an advisor reaches you within 24 business hours, Monday to Saturday.
Trusted by — schools, companies and industrial groups
Every program built with a dedicated engineer
Learning objectives
- Master the architecture of Document AI pipelines for professional projects
- Develop advanced extraction and OCR modules in enterprise settings
- Implement semantic analysis models for certified documents
- Orchestrate scalable pipelines with cloud tools and DevOps
- Optimize the performance of Document AI pipelines in production
- Deploy robust AI solutions for massive document processing
- Acquire certifying skills in document AI automation
Our social commitment
A school kit donated to a child for every training
To fight inequalities in access to education, Learni donates a complete school kit to a child in need for every training booked. You build your skills, a child heads back to school.
- Backpack, notebooks and essential supplies
- Distributed through our partner charities
- Included, at no extra cost to you
The Learni story
Founded by engineers and learning experts, Learni's mission is to make high-impact tech training accessible to teams everywhere. We work remotely with organizations across the US and Canada, in your time zone, to help teams upskill fast.
Don't let this gap widen
Why this program matters
Without this upskilling, your team accumulates a technological gap that translates directly into productivity loss.
Organizations that don't train their talents on key topics see their competitiveness drop.
Every quarter without training is a gap widening with competitors who invest.
The cost of inaction quickly exceeds that of well-targeted training.
Program
Module 1Architecture: designing robust Document AI pipelines (MLflow, Kubeflow, Docker)
Analysis of business needs to structure high-performance Document AI pipelines, hands-on with orchestration tools like MLflow and Kubeflow, modeling an end-to-end pipeline on real cases of invoices and contracts, practical exercises in containerization with Docker, creation of architecture diagrams and first functional prototype tested in groups to validate scalability.
Module 2Extraction: implement advanced OCR and parsing in Document AI pipelines (Tesseract, LayoutLM)
Deployment of advanced OCR models like Tesseract and LayoutLM to extract text, tables, and images from complex documents, processing of scanned PDFs and various formats in batch, exercises on real enterprise datasets with automatic data cleaning, integration into a modular pipeline, production of structured datasets ready for AI analysis, evaluation of accuracy with custom metrics.
Module 3Analysis: integrate NLP and vision into Document AI pipelines (BERT, YOLO, Hugging Face)
Development of semantic analysis modules with BERT and transformers for classification and named entity recognition on documents, combination with YOLO for visual element detection, practical exercises on legal contracts and financial reports, fine-tuning of pre-trained models via Hugging Face, enrichment of the pipeline with confidence scoring, automated report generation and visualization of insights for rapid business decisions.
Module 4Orchestration: scale Document AI pipelines (Kubernetes, Airflow, AWS/GCP)
Configuration of orchestrators like Apache Airflow and Kubernetes for distributed pipelines, migration to cloud AWS SageMaker or GCP Vertex AI, management of asynchronous and parallel workflows on massive volumes, load peak simulation exercises with real-time monitoring, cost and resource optimization, end-to-end integration tests on the capstone project, documentation of deployments for DevOps teams.
Module 5Deployment: monitor and optimize Document AI pipelines in production (Prometheus, ELK)
Production deployment with CI/CD GitHub Actions, setup of advanced monitoring via Prometheus and ELK stack for logs and alerts, performance optimization through model pruning and distillation, debugging exercises on real incidents, A/B testing of pipeline versions, securing sensitive data in GDPR compliance, finalization of the capstone project with ROI report and maintenance plan for immediate enterprise use.
Evaluation method
- Multiple-choice quiz to validate acquired knowledge at the end of the training
- Continuous evaluation through practical exercises
- Defense of the capstone project in front of the trainer
Learning method
- Courses led by an active expert trainer
- Practical exercises on real enterprise cases
- Progressive capstone project throughout the training
- Complete course materials provided to each participant
Methods, materials and delivery
The Training Document AI Pipelines - Automate AI Analysis of Documents program is delivered onsite or remote (blended-learning, virtual classroom, remote presence). At Learni, an industry-certified training organization, every program is built to maximize skills acquisition regardless of the chosen format.
The trainer alternates between demonstrative, interrogative and active methods (through hands-on labs and/or scenarios). This pedagogical approach guarantees concrete learning that's immediately applicable at work.
Equipment required
For the smooth delivery of the Training Document AI Pipelines - Automate AI Analysis of Documents program, the following equipment is required:
- Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, projector or interactive touch screen (for remote sessions)
- Training environments installed on workstations or accessible online
- Course materials, hands-on exercises and complementary resources
- Post-training access to materials and educational resources
For intra-company training on a site outside Learni, the client commits to providing all required teaching materials (computers, internet, etc.) for the smooth delivery of the program in line with the prerequisites in the communicated program.
* contact us for remote delivery feasibility** ratio varies depending on the program
Skills assessment methods
Assessment of skills acquired during the Training Document AI Pipelines - Automate AI Analysis of Documents program is performed through:
- During training: case studies, hands-on labs and professional scenarios
- End of training: self-assessment questionnaire and skills evaluation by the trainer
- After training: completion certificate detailing acquired skills
Program accessibility
Learni is committed to making its programs accessible. All our programs are accessible to people with disabilities. Our teams are available to adapt the pedagogical methods to your specific needs. Please contact us for any adjustment request.
Enrollment terms and lead times
Registration is possible up to 48 business hours before the start of training. All our programs are built for corporate L&D budgets and delivered onsite or remotely.
Our method
Training quality, guaranteed at every step
Before, during, after: we frame the brief, introduce the trainer, tailor the content and measure impact. You stay in control from kickoff to wrap-up.
You meet the trainer beforehand
30-minute video call between you and the selected trainer to validate the fit, adjust content and clear any final doubts.
- Live briefing on goals and team context.
- Veto right — we swap the trainer for free if needed.
Content tailored to your context
No recycled slides. The syllabus is reworked from your real cases: tools, constraints, vocabulary, ongoing projects.
- Hands-on cases drawn from your stack and projects.
- Program co-written then validated by your team.
Continuous quality follow-up
Live evaluations, 30/90/180-day check-ins and a consolidation plan. If the impact misses the mark, we rework it.
- NPS, knowledge quizzes and skills self-assessment.
- Satisfaction guarantee: fully satisfied or free rework.
A simple promise: you don't pay to discover the trainer on day one. Everything is validated upfront, by you.
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FAQ
Frequently asked questions
How much does the Training Document AI Pipelines - Automate AI Analysis of Documents training cost?+
The individual price is $5,775 (USD). The team / on-site group package is shown on the course page. A detailed quote is sent within one business day.
How long is the Training Document AI Pipelines - Automate AI Analysis of Documents training?+
The training lasts 5 journées, available live online (US time zones) or on-site at your offices.
How is this training paid for?+
Most US teams pay directly through their company (L&D or training budget). We invoice in US dollars and accept bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
Are there any prerequisites?+
Mastery of Python, ML frameworks (TensorFlow/PyTorch), NLP and computer vision
Is a certificate delivered at the end?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report.
Does Learni provide the equipment?+
No. A computer and stable internet connection are required for the participant. Learni provides the educational platform, the trainer and all course materials.
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