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.
Learning objectives
- Master the design of Document AI 2026 pipelines for automated document processing.
- Develop professional skills in advanced ETL tailored to document AI.
- Implement optimized Spark flows for extraction and analysis of structured content.
- Configure Kafka and Airflow orchestrations for scalable enterprise pipelines.
- Optimize AI pipeline performance, ensuring reliability and Qualiopi certification.
- Deploy production-ready certifying solutions in a professional context.
The Learni story
Founded by passionate learning and innovation experts, Learni's mission is to make professional training accessible to everyone, anywhere in the world. Our team operates in major hubs — London, New York, Boston — and internationally, to support talents and organizations in upskilling.
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 1ETL Fundamentals: Document AI 2026 Pipelines (extraction, basic transformation tools)
Discover advanced basics of Document AI 2026 pipelines with a focus on intelligent extraction of textual and structured data, use Python and OCR libraries to parse complex PDFs, complete practical exercises on real enterprise datasets, transform data via custom ETL, produce your first functional pipelines with quality validation, integrate AI metadata for precise indexing, while learning best practices for scalable certifying training.
Module 2Spark Processing: Optimizing Document AI 2026 Pipelines (distributed analysis, ML pipelines)
Dive into Apache Spark to scale your Document AI 2026 pipelines, configure distributed jobs for massive document processing, apply ML models for classification and named entity recognition, perform hands-on exercises on simulated clusters, optimize performance with partitioning and caching, integrate Spark Streaming flows for real-time data, generate deliverables like analytical dashboards, prepare for advanced orchestration in this professional training dedicated to data engineers.
Module 3Kafka & Airflow Orchestration: Deploying Document AI 2026 (scalability, pipeline monitoring)
Master orchestration with Kafka and Airflow for robust Document AI 2026 pipelines, implement Kafka topics for streaming incoming documents, program Airflow DAGs for automated workflows, test on real enterprise cases with integrated monitoring, deploy in production mode with CI/CD, analyze logs for rapid debugging, produce a complete certifying pipeline with alerting, consolidate skills for immediate application in data engineering teams.
Evaluation method
- Daily interactive quizzes to validate theoretical knowledge.
- Final practical project on a real Document AI pipeline.
- Qualiopi certifying evaluation with personalized feedback.
Learning method
- 70% hands-on practice, 30% theory for rapid assimilation.
- Case studies from leading companies in data engineering.
- Digital learning support accessible for 6 months post-training.
- Dedicated Q&A sessions for resolving real-world challenges.
Methods, materials and delivery
The Training Document AI Pipelines 2026 - Automate AI Document Processing program is delivered onsite or remote (blended-learning, e-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 2026 - Automate AI Document Processing 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 2026 - Automate AI Document Processing 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
Learni programs are available inter-company and intra-company, onsite or remote. Enrollments are possible up to 48 business hours before the program starts. Our programs are eligible for corporate funding paths. Contact us to discuss your training project and funding options.
Verified reviews
What our learners
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
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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