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Training DLP - Implementing Data Loss Prevention with Python

Ref: JRX231
10 people max.
From $5,775 HT / per person
On-site on request · +$540 with certification exam
5 days
Onsite

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Microsoft
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Learning objectives

  • Master advanced DLP concepts in a professional context
  • Develop certified DLP solutions using Python for enterprise environments
  • Design data leak detection systems using Flask and FastAPI
  • Implement robust DLP policies tailored to business needs
  • Optimize detection performance while ensuring compliance
  • Deploy DLP tools integrated into secure Django environments
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

  • 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.

Célian Lebacle
Célian Lebacle

Learni trainer · Web & mobile expert

73%productivity gap
×3cost of inaction

Program

Module 1Topic: DLP with Python - Fundamental concepts and architecture (Python, regex, automatic classification, initial report)

Participants explore the fundamentals of DLP applied to Python development. They analyze real-world business cases, implement sensitive data classification scripts using regex and specialized libraries, and produce an initial technical audit report. Practical exercises reinforce understanding of critical data flows.

Module 2Topic: DLP with Python - Django integration and advanced detection (Django ORM, hooks, real-time monitoring, deliverables)

This day focuses on integrating DLP mechanisms into Django applications. Learners develop custom middleware and signals to intercept potential leaks, configure monitoring dashboards, and perform tests on real databases. Each exercise results in a reusable component.

Module 3Topic: DLP with Python - Secure APIs with Flask and FastAPI (FastAPI, authentication, encryption, documentation)

Trainees design high-performance DLP endpoints with FastAPI and Flask. They implement access controls, encryption mechanisms, and automated incident responses. Practical scenarios include REST API protection and generation of comprehensive technical documentation for security teams.

Module 4Topic: DLP with Python - Behavioral analysis and machine learning (scikit-learn, models, anomaly detection, prototypes)

The course covers behavioral analysis using Python machine learning models. Participants train classifiers to identify abnormal behaviors, evaluate accuracy on professional datasets, and deliver a functional predictive detection prototype integrated into their test environment.

Module 5Topic: DLP with Python - Enterprise deployment and compliance (Docker, reporting, final audit, action plan)

The final day focuses on production deployment and regulatory compliance. Learners containerize their DLP solutions, write detailed audit reports, and design a customized action plan for their organization. A final project validates the skills acquired throughout the training.

Evaluation method

  • Quiz to validate theoretical concepts
  • Individual practical DLP detection project
  • Oral presentation of the final deliverable

Learning method

  • Python scripts for data classification
  • DLP middleware for Django
  • Secure FastAPI API
  • Behavioral detection model

Methods, materials and delivery

The Training DLP - Implementing Data Loss Prevention with Python 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 DLP - Implementing Data Loss Prevention with Python 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 DLP - Implementing Data Loss Prevention with Python 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 DLP - Implementing Data Loss Prevention with Python 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 DLP - Implementing Data Loss Prevention with Python 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?+
Advanced Python proficiency, hands-on experience with Django or Flask, solid knowledge of IT security and databases
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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