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.
Training Anti-phishing 2026 - Advanced ML Deployment
Trusted by — schools, companies and industrial groups
Every program built with a dedicated engineer
Learning objectives
- Master the training of high-performing anti-phishing models for professional use
- Develop advanced skills in threat detection using ML tools
- Design robust MLOps pipelines tailored to business needs
- Implement certified solutions based on TensorFlow and PyTorch
- Optimize detection performance to reduce business risks
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
Phishing attacks account for more than 80 % of cybersecurity incidents in 2025.
Unequipped companies incur an average of 4,5 millions d'euros in annual losses.
Without advanced skills in applied ML, teams remain vulnerable and careers stagnate against the automation of threats.
Acting now prevents these major risks and secures professional positioning.
Program
Module 1Theme: Advanced Anti-phishing with TensorFlow (datasets, CNN, classification)
Participants explore building anti-phishing classification models using TensorFlow. They process real phishing datasets, train optimized CNNs, perform practical feature engineering exercises, and produce a basic model deliverable evaluated on precision metrics.
Module 2Theme: Anti-phishing with PyTorch (transformers, advanced NLP, fine-tuning)
This day focuses on using PyTorch for transformer models applied to malicious text and URL analysis. Learners perform fine-tuning on professional corpora, compare architectures, and deliver a functional prototype with integrated robustness tests.
Module 3Theme: Anti-phishing MLOps (deployment, monitoring, CI/CD)
Trainees deploy anti-phishing models in production using MLOps practices. They configure CI/CD pipelines, implement continuous performance monitoring, and create a complete deliverable including dashboards and automated alerts for enterprise use.
Evaluation method
- Daily knowledge validation quizzes
- Final project of a deployed anti-phishing pipeline
- Oral presentation and detailed feedback
Learning method
- Practical exercises on real datasets
- Professional use cases in cybersecurity
- Hands-on labs with TensorFlow and PyTorch
- Model delivery in MLOps environment
Methods, materials and delivery
The Training Anti-phishing 2026 - Advanced ML Deployment 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 Anti-phishing 2026 - Advanced ML Deployment 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 Anti-phishing 2026 - Advanced ML Deployment 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 Anti-phishing 2026 - Advanced ML Deployment training cost?+
The price is $3,675 (USD) per participant. A detailed quote is sent within one business day.
How long is the Training Anti-phishing 2026 - Advanced ML Deployment training?+
The training lasts 3 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?+
Confirmed mastery of Python, solid experience with TensorFlow or PyTorch, knowledge of MLOps pipelines and security datasets.
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
Available on-site and remotely. Pick your city to see the local training center.
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