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Training Black-Scholes 2026 Model - Valuing Options with ML

Ref: WGG765
10 people max.
4400€ 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
4 journées
distanciel

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Learning objectives

  • Master the fundamentals of the Black-Scholes 2026 model in certified professional training
  • Develop skills to implement the model with TensorFlow in a business setting
  • Design MLOps pipelines tailored to financial options pricing
  • Implement PyTorch to simulate Black-Scholes 2026 scenarios for beginners
  • Optimize ML models for precise valuation in a professional context
  • Deploy certified Black-Scholes solutions in enterprise environments

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 2026 Model: basic equations, assumptions (TensorFlow intro)

Discover the mathematical principles of the Black-Scholes 2026 model adapted to volatile markets, explore partial differential equations and stochastic volatility assumptions, initiate TensorFlow to code initial European options pricing calculations, complete practical exercises on historical stock market data, produce your first simple valuation deliverable, consolidate beginner skills in quantitative finance through real business cases.

Module 2Implementation of Black-Scholes 2026 Model: Monte Carlo simulation (PyTorch practical)

Dive into numerical methods to solve Black-Scholes 2026, use PyTorch to simulate price trajectories via Monte Carlo, code hybrid binomial trees with ML, apply to exotic options on real CAC40 data, test sensitivity to Greeks parameters, generate automated reports, strengthen professional skills in predictive modeling, integrate basic MLOps for script versioning.

Module 3Optimization of Black-Scholes 2026 Model: parameter calibration (advanced TensorFlow)

Calibrate the Black-Scholes 2026 model on implied volatility curves with TensorFlow, implement minimization algorithms for market fitting, analyze Heston and jumps impacts via live datasets, develop interactive dashboards to visualize Greeks, optimize for enterprise scalability, produce reproducible pipelines, acquire certified skills in ML applied to finance, prepare MLOps deployment.

Module 4MLOps Deployment of Black-Scholes 2026 Model: production and monitoring (PyTorch/TensorFlow)

Deploy your Black-Scholes 2026 model in an MLOps environment with Docker and Kubernetes, integrate TensorFlow Serving and PyTorch for real-time APIs, configure volatility drift monitoring, test robustness on 2026 stress-tests, finalize group project with finance API deliverable, evaluate performance in live market conditions, consolidate professional skill advancement, obtain Qualiopi certification for impactful CV.

Evaluation method

  • Daily interactive quizzes on Black-Scholes 2026 concepts
  • Final project: MLOps deployment of an options pricer
  • Qualiopi certificate and personalized skills feedback

Learning method

  • 70% practical: coding TensorFlow/PyTorch on real finance cases
  • 30% theory: Black-Scholes math adapted for ML beginners
  • Collaborative exercises in small groups of max 10
  • Unlimited access to post-training resources for 6 months

Methods, materials and delivery

The Training Black-Scholes 2026 Model - Valuing Options 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 2026 Model - Valuing Options 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 2026 Model - Valuing Options 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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« 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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