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 Black-Scholes Model - Deploying in MLOps for Production Finance
Trusted by — schools, companies and industrial groups
Every program built with a dedicated engineer
Learning objectives
- Master the Black-Scholes model to value European options in a certified professional context
- Implement the Black-Scholes model with TensorFlow for high-performance simulations in a business setting
- Develop PyTorch MLOps pipelines to scale the Black-Scholes model in financial production
- Optimize Greeks calculations via Black-Scholes in ML frameworks for expert hedging
- Design automated MLOps deployments of the Black-Scholes model, boosting certified skills
- Analyze advanced Black-Scholes sensitivities, integrating professional data engineering
- Deploy Black-Scholes models in Kubernetes via MLOps for maximum business ROI
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, 70% of quants underestimate Greeks, generating hedging losses estimated at 15-25% on option portfolios according to Bloomberg studies.
Consequence: ML deployment delays cost 200k€/an per DevOps team, eroding algorithmic trading competitiveness against automated competitors.
Career risk: salary stagnation below 120k€ vs 180k€ for MLOps finance experts, companies exposed to MiFID II regulatory fines on erroneous pricing.
Invest now to secure precise valuations and scale production without failure.
Program
Module 1Black-Scholes Model: Expert Implementation in TensorFlow/PyTorch and MLOps Pipelines (Greeks Simulations, Production Deployment)
Dive into the advanced implementation of the Black-Scholes model using TensorFlow to value options, followed by PyTorch for dynamic stochastic tensors, practical exercises on Greeks delta-gamma, concrete cases of hedging real market volatility, building MLOps pipelines CI/CD Docker Kubernetes, scalable unit tests, production monitoring with Prometheus Grafana, deliverables include optimized Git source code and deployment report certifying professional skills in finance ML.
Evaluation method
- Technical quiz on Black-Scholes partial derivatives and MLOps
- Practical project: deployment of PyTorch/TensorFlow pipeline in simulated production
- Case study: Greeks optimization with live market data, personalized feedback
Learning method
- 80% hands-on approach: live coding Black-Scholes in TensorFlow/PyTorch
- Real finance cases: CAC40 volatility, Bitcoin options via MLOps
- Agile methods: pair programming, timed challenges for rapid expertise
- Post-training resources: Git repo, replay videos, 1-month coaching
Methods, materials and delivery
The Training Black-Scholes Model - Deploying in MLOps for Production Finance 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 - Deploying in MLOps for Production Finance 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 - Deploying in MLOps for Production Finance 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.
Suggestions
You might
like these too.
Generative AI & LLMsIndustry-certifiedMistral AI Training - Deploy Open-Source AI in Production
$2,625Net of tax
MLOps & AI industrialisationIndustry-certifiedTraining MLflow Advanced - Master MLOps in Production
$4,620Net of tax
Deep learningIndustry-certifiedPyTorch Training - Master Deep Learning in 5 Days
$5,775Net of tax
Generative AI & LLMsIndustry-certifiedTraining Mistral AI - Deploy Open-Source LLMs in Production
$2,625Net of tax
MLOps & AI industrialisation
More programs in MLOps & AI industrialisation.
MLOps & AI industrialisationIndustry-certifiedAdvanced Hugging Face Training - Deploy High-Performance AI
$2,625Net of tax
MLOps & AI industrialisationIndustry-certifiedAdvanced MLflow Training - Efficiently Deploy ML in Production
$3,675Net of tax
MLOps & AI industrialisationIndustry-certifiedCanary Release Training - Deploy Updates Without Risk
$1,470Net of tax
MLOps & AI industrialisationIndustry-certifiedCanary Release Training - Expert Production Deployment Without Downtime
$5,775Net of tax
MLOps & AI industrialisationIndustry-certifiedDevenez Expert Amazon SageMaker : Déployer et Gérer des Modèles IA en Production
$3,675Net of tax
MLOps & AI industrialisationIndustry-certifiedFormation Amazon SageMaker - Automatiser ML en entreprise
$1,470Net of tax
Deep learning
More programs in Deep learning.
Deep learningIndustry-certifiedAdvanced Keras Training - Deploy Powerful Models
$1,470Net of tax
Deep learningIndustry-certifiedAdvanced PyTorch Training - Master Professional Deep Learning
$5,775Net of tax
Deep learningIndustry-certifiedAdvanced PyTorch Training - Optimize Deep Learning Models
$1,470Net of tax
Deep learningIndustry-certifiedAdvanced TensorFlow Training - Deploy High-Performance AI Models
$1,470Net of tax
Deep learningIndustry-certifiedAdvanced TensorFlow Training - Deploy Scalable and Optimized AI Models
$5,775Net of tax
Deep learningIndustry-certifiedAdvanced TensorFlow Training - Optimize Deep Learning Models
$5,775Net of tax
Generative AI & LLMs
More programs in Generative AI & LLMs.
Generative AI & LLMsIndustry-certifiedIntelligence Artificielle : Maîtriser les fondamentaux et applications en entreprise
$3,675Net of tax
Generative AI & LLMsIndustry-certifiedMaîtriser OpenCV : Traitement d’Image et Intelligence Artificielle pour Professionnels
$3,675Net of tax
Generative AI & LLMsIndustry-certifiedFormation VLA Fine-Tuning Industriel - Optimiser vos robots autonomes
$3,675Net of tax
Generative AI & LLMsIndustry-certifiedFormation Claude - Maîtriser l'IA pour booster la productivité
$5,775Net of tax
Generative AI & LLMsIndustry-certifiedAnthropic : Comprendre et Déployer une Intelligence Artificielle Éthique et Responsable
$2,625Net of tax
Generative AI & LLMsIndustry-certifiedAccélérer vos modèles d’Intelligence Artificielle avec OpenVINO : de l’optimisation à la mise en production
$3,675Net of tax
Machine learning
More programs in Machine learning.
Machine learningIndustry-certifiedAdvanced NATS Training - Master JetStream and Clustering
$5,775Net of tax
Machine learningIndustry-certifiedAdvanced Redis Training - Master Clustering and Performance
$3,675Net of tax
Machine learningIndustry-certifiedAdvanced Redis Training - Optimize Redis Cache and Clustering
$3,675Net of tax
Machine learningIndustry-certifiedAdvanced scikit-learn Training - Optimize ML Models in Production
$3,675Net of tax
Machine learningIndustry-certifiedAdvanced scikit-learn Training - Optimize Professional ML Pipelines
$1,470Net of tax
Machine learningIndustry-certifiedAutoML : Accélérez vos projets de Machine Learning grâce à l’automatisation
$3,675Net of tax
FAQ
Frequently asked questions
How much does the Training Black-Scholes Model - Deploying in MLOps for Production Finance training cost?+
The price is $1,470 (USD) per participant. A detailed quote is sent within one business day.
How long is the Training Black-Scholes Model - Deploying in MLOps for Production Finance training?+
The training lasts 1 journée, 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 mastery of Python, stochastic probabilities, quantitative finance, TensorFlow and PyTorch; experience in ML deployment
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.
Your professional training, anywhere
Let's build
your next
program.
30 minutes with a learning advisor. No commitment. No sales pitch dressed up as a demo.
Reply within 24h · Vetted experts · USD invoicing · W-9 available