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Training spaCy Performance - Scaling NLP Inference in Production

Ref: YMI808
10 people max.
From $4,620 HT / per person
On-site on request · +$540 with certification exam
4 days
Remote

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Equans
EDF
Ubisoft
Microsoft
Aptar
ArcelorMittal
Equans
EDF
Ubisoft
Microsoft
Aptar
ArcelorMittal
Equans
EDF
Ubisoft
Microsoft
Aptar
ArcelorMittal
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Learning objectives

  • Optimize spaCy pipelines for scaling and production deployment in your enterprise
  • Profile a pipeline and identify the costly component
  • Leverage nlp.pipe, batch processing, and multiprocessing
  • Reduce footprint by disabling or replacing components
  • Decide on GPU usage and measure its real contribution
  • Size an inference service in terms of latency, throughput, and memory
  • Monitor data drift and trigger retraining
A child walking to school with a backpack
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

  • An unoptimized spaCy pipeline quickly consumes excessive resources and restricts processing to just a few thousand documents per day.

  • Delays stretch out, infrastructure costs spike, and data engineering teams lose the ability to respond quickly to business demands.

  • Over the long term the company’s capacity to industrialize NLP projects shrinks, blocking growth opportunities and leaving technical teams at a competitive disadvantage against rivals who have mastered scaling.

Kheireddin KADRI
Kheireddin KADRI

Learni trainer · Data & AI expert

73%productivity gap
×3cost of inaction

Program

Module 1Theme: Profiling and bottleneck identification (spaCy, cProfile, memory_profiler)

Detailed analysis of an existing spaCy pipeline processing one thousand documents. Use of profiling tools to identify the most time- and memory-intensive components. Exercises on real business cases, before-and-after measurements, and deliverables including a performance report with optimization recommendations.

Module 2Theme: Batch processing and multiprocessing (nlp.pipe, joblib)

Implementation of nlp.pipe for batch processing and integration of multiprocessing to scale up. Comparison of strategies on several million documents. Practical cases with throughput and latency measurement, deliverables including optimized scripts and validated benchmarks.

Module 3Theme: Footprint reduction and GPU choice (disable_pipes, GPU config)

Selective disabling of spaCy components and replacement with lightweight alternatives. Evaluation of real GPU versus CPU contribution on different volumes. Sizing exercises with memory and time metrics, deliverables including GPU configuration and cost impact report.

Module 4Theme: Inference service and monitoring (FastAPI, drift detection)

Deployment of a scalable inference service with latency, throughput, and memory consumption tracking. Implementation of data drift monitoring and retraining triggers. Complete business case, deliverables including production API and monitoring dashboard.

Evaluation method

  • Knowledge validation quiz each day
  • Final optimized pipeline project
  • Self-assessment of skills

Learning method

  • Practical exercises on real data
  • Concrete business cases
  • Benchmarks and performance measurements
  • spaCy best practices booklet

Methods, materials and delivery

The Training spaCy Performance - Scaling NLP Inference in Production 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 spaCy Performance - Scaling NLP Inference in Production 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 spaCy Performance - Scaling NLP Inference in Production 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.

Step 1

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.
Step 2

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.
Step 3

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.
Step 4

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.

FAQ

Frequently asked questions

How much does the Training spaCy Performance - Scaling NLP Inference in Production training cost?+
The individual price is $4,620 (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 spaCy Performance - Scaling NLP Inference in Production training?+
The training lasts 4 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?+
Advanced Python proficiency, confirmed experience with spaCy and NLP pipelines, knowledge of inference services
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.
On-site & remote

This training across cities

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