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Training Black-Scholes Model 2026 - Mastering Options Pricing with ML

Ref: RYM915
10 people max.
5500€ HT / per person
−15% from 2 people−30% from 3 people−50% from 5 people
Pay in 3 installments · +$170/day onsite · +$500 with certification exam
5 journées
distanciel

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Learning objectives

  • Master implementation of Black-Scholes Model 2026 in TensorFlow for options pricing
  • Develop professional MLOps skills for deploying finance models
  • Design PyTorch pipelines optimized for 2026 regulatory compliance
  • Implement advanced Monte Carlo simulations for trading enterprises
  • Optimize ML model performance for certified quantitative finance
  • Deploy scalable Black-Scholes solutions in MLOps production
  • Acquire certification for professional ML finance training skills

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.

Fouzi Benzidane
Fouzi Benzidane

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1Fundamentals of Black-Scholes Model 2026: Stochastic Math Theory (TensorFlow Setup)

Discover Black-Scholes differential equations adapted for 2026, install professional TensorFlow environment, calculate implied volatilities through practical exercises, simulate first call/put prices on real finance datasets, produce initial pricing reports, integrate dynamic Gaussian probabilities, validate theoretical calculations with dedicated Python code.

Module 2PyTorch Implementation of Black-Scholes Model 2026: Hybrid Neural Networks (MLOps Basics)

Build PyTorch tensors to solve Black-Scholes PDEs, train hybrid ML-classical models on GPU, test Greeks delta/gamma via backpropagation, deploy initial MLOps pipelines with Docker, analyze parameter risk sensitivities, generate live trading visualizations with Matplotlib, export enterprise-compatible ONNX models.

Module 3Advanced Monte Carlo Simulations for Black-Scholes Model 2026: Variance Reduction (Optimized TensorFlow)

Master quasi-exact Monte Carlo for Black-Scholes 2026 in TensorFlow, apply control variates for 90% variance reduction, simulate Brownian paths with millions of fast iterations, integrate exotic barrier options for real cases, benchmark CPU/GPU performance, produce precise convergence metrics, prepare enterprise risk reports.

Module 4MLOps Deployment for Black-Scholes Model 2026: CI/CD Pipelines (PyTorch Production)

Configure Kubernetes MLOps for scalable PyTorch Black-Scholes, automate CI/CD with GitHub Actions and unit tests, monitor finance model drift in real-time with Prometheus, integrate fast REST APIs for serving, manage versioning with MLflow artifacts, test high-frequency trading loads, deploy versions compliant with 2026 EU regulations.

Module 5Advanced Optimization of Black-Scholes Model 2026: Live Market Calibration (TensorFlow/PyTorch Hybrid)

Calibrate Black-Scholes 2026 volatility smile and implied surfaces, fuse TensorFlow and PyTorch with multi-objective loss functions, optimize hyperparameters with Bayesian methods via Optuna, backtest options strategies on historical S&P500 data, analyze Sharpe ratios and performance, finalize certifiable portfolio projects, prepare secure AWS enterprise cloud deployment.

Evaluation method

  • Daily theoretical quizzes on Black-Scholes math and ML
  • Practical MLOps deployment projects
  • Final certification of professional finance skills

Learning method

  • 70% hands-on coding with TensorFlow and PyTorch exercises
  • 30% theory adapted to intermediate professional level
  • Real-world finance algorithmic trading cases
  • Personalized coach feedback each day

Methods, materials and delivery

The Training Black-Scholes Model 2026 - Mastering Options Pricing with ML 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 Black-Scholes Model 2026 - Mastering Options Pricing with ML 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 Black-Scholes Model 2026 - Mastering Options Pricing with ML 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.

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What our learners

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« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
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« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
Read all reviews
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.

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