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 Pipelines 2026 for certified professional transformation
- Develop advanced ETL skills with Apache Spark in an enterprise context
- Implement real-time flows via Kafka and Airflow for high-performance pipelines
- Design scalable architectures for intelligent document processing
- Optimize AI pipelines to reduce costs and accelerate data projects
- Deploy certified solutions tailored to business needs in Data Engineering
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 1Fundamentals of Document AI Pipelines: extraction and preprocessing with ETL (OCR, NLP, Spark)
Discover the basics of Document AI Pipelines 2026 through practical exercises on text extraction with advanced OCR and NLP preprocessing, implement your first ETLs with Apache Spark to structure heterogeneous documents, analyze concrete business cases like automated invoicing, produce a scalable prototype pipeline and test its robustness on large datasets, while integrating Data Engineering best practices for rapid production deployment.
Module 2Orchestration of Document AI Pipelines: Kafka and Airflow for real-time flows (ingestion, transformation)
Dive into the orchestration of Document AI Pipelines 2026 by configuring Kafka for massive document stream ingestion, orchestrate workflows with Airflow for automated transformations, develop practical exercises on error handling and scalability, apply to real scenarios like contract analysis in banking, generate optimized DAGs and monitor performance live, acquire professional skills for reliable enterprise deployments.
Module 3Deployment and Optimization of Document AI Pipelines: monitoring, security, and scalability (Spark, Kafka)
Finalize your Document AI Pipelines 2026 by deploying on Spark cluster with high availability, integrate data security via Kafka and advanced encryption, optimize performance through tuning and Airflow monitoring, complete a capstone project on an industrial use case like GDPR compliance for documents, evaluate production KPIs and prepare for certification, leave with a concrete portfolio boosting your Data Engineering career.
Evaluation method
- Interactive quizzes and MCQs at the end of each day to validate theoretical knowledge
- Hands-on practical projects with personalized feedback from our experts
- Final certifying case study evaluating the complete implementation of a pipeline
Learning method
- 70% practical, 30% theory methodology for rapid assimilation
- Exercises on real enterprise datasets, adapted to intermediate level
- Video support and post-training resources for autonomous review
- Individual coaching in small groups of maximum 10 participants
Methods, materials and delivery
The Training Document AI Pipelines 2026 - Mastering AI Pipelines for Documents 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 - Mastering AI Pipelines for 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 2026 - Mastering AI Pipelines for 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
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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