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
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Request a call back and an advisor reaches you within 24 business hours, Monday to Saturday.
Training Black-Scholes Model - Mastering Options Pricing with MLOps
Trusted by — schools, companies and industrial groups
Every program built with a dedicated engineer
Learning objectives
- Master the expert implementation of the Black-Scholes model in TensorFlow for precise options pricing.
- Develop advanced Monte Carlo simulations with PyTorch adapted to volatile scenarios.
- Design MLOps pipelines to deploy Black-Scholes models in enterprise production.
- Optimize real-time Greeks calculations using professional ML frameworks.
- Implement stochastic extensions of the model for advanced enterprise hedging.
- Acquire certifiable professional training skills to enhance your ML expertise.
- Deploy scalable Black-Scholes solutions integrating MLOps for financial data scientists.
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 expert mastery of the Black-Scholes model in MLOps, 40% of trading desks suffer pricing errors exceeding 1M€ annually according to Risk.net studies.
Novice quants see their hedges fail in 65% of volatile scenarios, leading to cumulative losses of 20-30% on options portfolios.
Your career stagnates against automated competition, while the firm misses critical alpha-generation opportunities.
Invest now in this professional training to secure performance and competitiveness.
Program
Module 1Advanced Black-Scholes Model Fundamentals: Partial Differential Equations, Implied Volatility (TensorFlow Basics)
Dive into the partial derivatives of the Black-Scholes model using TensorFlow, analyze volatility smile with real financial market datasets, complete exercises on European and American pricing, produce your first optimized scripts for Greeks calculations, integrate concrete barrier options cases, while receiving live feedback to refine your professional ML finance skills.
Module 2Black-Scholes Model Implementation in TensorFlow: Monte Carlo Simulations, Vectorized Greeks
Build TensorFlow pipelines to simulate 1 million Black-Scholes trajectories in parallel, calculate Delta, Gamma, Vega with autograd, test on historical CAC40 and S&P500 data, develop interactive visualizations via TensorBoard, apply to real hedging strategies, generate deliverable reports ready for investment committees, strengthening your expert skills in certifiable professional training.
Module 3Black-Scholes Model with PyTorch: Stochastic Extensions, Jump-Diffusion (MLOps Intro)
Switch to PyTorch to model jumps in Black-Scholes via Poisson processes, implement numerical solvers for HJB equations, train on high-frequency volatility datasets, optimize with CUDA for real-time, integrate calibration exercises on exotic options, produce ONNX-exportable models, prepare MLOps groundwork for enterprise deployment, with a focus on practical and certifiable skills.
Module 4MLOps for Black-Scholes Model: CI/CD, Monitoring, Scaling (Kubernetes, MLflow)
Deploy your Black-Scholes model with MLOps using MLflow and Kubernetes, configure CI/CD pipelines with GitHub Actions, monitor volatility drift in production via Prometheus, test A/B on live simulations, integrate alerting for critical Greeks, generate Grafana dashboards for stakeholders, apply to real trading desk cases, while acquiring scalable professional skills for your enterprise.
Module 5Expert Black-Scholes Model Optimization: Hybrid ML, Real Cases, Certification (TensorFlow/PyTorch)
Synthesize with Black-Scholes-Neural Nets hybrids in TensorFlow and PyTorch, optimize via Bayesian methods for ultra-precise calibration, analyze historical failures like LTCM, deploy end-to-end on AWS cloud, review via peer-review projects, obtain Qualiopi certification validating your expert skills, export deliverable portfolios for CV, conclude with advanced Q&A on MLOps in professional finance.
Evaluation method
- Advanced quizzes on Black-Scholes equations and Greeks (80% passing threshold).
- Practical projects: full MLOps implementation of an options pricer.
- Real-world case studies: hedging optimization with live market data.
Learning method
- Hands-on projects 70% of the time, real financial market simulations.
- Unlimited replay videos, customized TensorFlow/PyTorch materials.
- 24/7 dedicated forum with quant and MLOps experts.
- Individual post-training coaching for enterprise deployment.
Methods, materials and delivery
The Training Black-Scholes Model - Mastering Options Pricing with MLOps 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 Black-Scholes Model - Mastering Options Pricing with MLOps 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 - Mastering Options Pricing with MLOps 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 Black-Scholes Model - Mastering Options Pricing with MLOps training cost?+
The price is $5,775 (USD) per participant. A detailed quote is sent within one business day.
How long is the Training Black-Scholes Model - Mastering Options Pricing with MLOps 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 proficiency in Python, TensorFlow and PyTorch, quantitative finance (options, volatility), stochastic processes, basic MLOps, experience in predictive modeling.
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.
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