Is the training Qualiopi certified?

Yes, Learni is a Qualiopi-certified training organization. This certification guarantees the quality of our courses and enables funding through OPCO and other mechanisms.

How can I fund my training?

Our courses are eligible for OPCO funding. Learni supports you through the funding process. A personalized quote is available upon request.

What are the prerequisites for this training?

The prerequisites for the Training LBO Modeling 2026 - Mastering AI Valuations training are: Corporate finance basics, intermediate Python, ML fundamentals, advanced Excel. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Training LBO Modeling 2026 - Mastering AI Valuations training is available in distanciel. The format can be adapted to your needs (inter, intra, custom).

Training LBO Modeling 2026 - Mastering AI… | Learni

The story of Learni

Founded by passionate advocates of learning and innovation, Learni set out to make professional training accessible to everyone, everywhere in the world. Our team works in the largest cities such as Paris, Lyon, Marseille, and internationally, to support talents and organizations in their skills development.

Configure your training

Response within 24hNo commitment100% free

9 spots remaining for the next session

FormatParticipantsDateDetails

Which format do you prefer?

Methods, approaches, and teaching resources

The Training LBO Modeling 2026 - Mastering AI Valuations training is delivered in-person or remotely (blended-learning, e-learning, virtual classroom, remote in-person). At Learni, a Qualiopi-certified training organization, each program is designed to maximize skills acquisition, regardless of the training mode chosen.

The trainer alternates between demonstrative, interrogative, and active methods (through practical exercises and/or real-world scenarios). This pedagogical approach ensures concrete and directly applicable learning in the workplace.

Teaching resources provided

To ensure the quality of the Training LBO Modeling 2026 - Mastering AI Valuations training, Learni provides the following teaching resources:

Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, video projector or interactive touchscreen (for remote sessions)
Training environments installed on workstations or accessible online
Course materials, practical exercises, and supplementary resources
Post-training access to materials and teaching resources

For in-house training at a location external to Learni, the client ensures and commits to having all necessary teaching materials (IT equipment, internet connection...) for the proper conduct of the training action in accordance with the prerequisites indicated in the communicated training program.

* contact us for remote feasibility** ratio varies depending on the training followed

Assessment methods

The assessment of skills acquired during the Training LBO Modeling 2026 - Mastering AI Valuations training is carried out through:

During training: case studies, practical exercises, and professional scenarios
At the end of training: self-assessment questionnaire and skills evaluation by the trainer
After training: training completion certificate detailing acquired skills

Training accessibility

Learni is committed to the accessibility of its professional training programs. All our training programs are accessible to people with disabilities. Our teams are available to adapt teaching methods to your specific needs. Do not hesitate to contact us for any accommodation request.

Training access terms and deadlines

Training objectives

Master 2026 LBO modeling with TensorFlow for precise forecasts

Develop PyTorch skills in acquisition scenario simulations

Design MLOps pipelines for deploying LBO models in the enterprise

Optimize asset valuations via professional deep learning

Implement certified workflows for certified LBO analyses

Deploy LBO training skills in real-world business contexts

Training program

Module 1LBO Modeling 2026 Fundamentals: TensorFlow Cash Flows (AI Basics)

Discover advanced LBO structures via TensorFlow, model debts, 2026 EBITDA projections, practical exercises on real finance datasets, build your first predictive cash-flow model, integrate macroeconomic variables, validate with ROI metrics, obtain personalized Excel-TensorFlow template for your company.

Module 2LBO Modeling 2026 Scenarios: PyTorch Simulations (Stress-Tests)

Dive into PyTorch for sensitive LBO scenarios, simulate multiple exits, dynamic IRR calculations, hands-on workshops on concrete M&A cases, adjust leverage parameters, integrate financial data augmentation, generate visualized reports, deliverable: interactive PyTorch dashboard for quick decisions.

Module 3LBO Modeling 2026 Pipelines: MLOps Deployment (CI/CD)

Set up MLOps for scalable LBO models, automate TensorFlow-PyTorch training, deploy via Docker Kubernetes, versioning exercises with Git MLflow, monitor production performance, integrate real-time finance APIs, test 2026 forecast robustness, receive certified enterprise MLOps playbook.

Module 4LBO Modeling 2026 Optimization: Advanced Cases (AI Valuations)

Optimize complete LBOs with hybrid TensorFlow-PyTorch, analyze AI due diligence, workshops on real 2026 deals, fine-tune hyperparameters, generate equity value valuations, evaluate integrated ESG risks, finalize capstone project deliverable, obtain professional skills certification.