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 Cardiac Coherence - Mastering AI for Expert Optimization training are: Advanced proficiency in deep learning and Python, experience in physiological signal analysis, knowledge of prompt engineering for modeling heart rate variability. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Training Cardiac Coherence - Mastering AI for Expert Optimization training is available in distanciel. The format can be adapted to your needs (inter, intra, custom).

Training Cardiac Coherence - Mastering AI for… | 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.

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Methods, approaches, and teaching resources

The Training Cardiac Coherence - Mastering AI for Expert Optimization 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 Cardiac Coherence - Mastering AI for Expert Optimization 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 Cardiac Coherence - Mastering AI for Expert Optimization 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 objectives

Master deep learning algorithms applied to expert cardiac coherence analysis in professional training

Develop certified skills to deploy AI solutions in companies via HRV modeling

Design advanced cardiac coherence protocols optimized by intelligent prompt engineering

Implement real-time analysis tools to monitor cardiac coherence in professional contexts

Optimize team performance using predictive AI dashboards on cardiac resilience

Integrate cardiac coherence into certified corporate strategies to reduce stress

Evaluate the impact of AI models on cardiac coherence using expert metrics

Training program

Module 1Advanced Fundamentals of Cardiac Coherence: AI Modeling and Deep Learning (HRV, LSTM Algorithms)

Dive into expert principles of cardiac coherence via HRV signals analyzed by deep learning, install TensorFlow and Keras to model respiratory phases, perform practical exercises on real cardiac sensor datasets, build your first predictive coherence model, test in real-time with wearable emulators, obtain deliverables like a production-ready Jupyter notebook for business.

Module 2Optimization of Cardiac Coherence: Prompt Engineering and Model Fine-Tuning (GANs, Transformers)

Explore prompt engineering to generate optimal respiratory sequences via AI, fine-tune transformers on anonymized cardiac data, practice interactive sessions with APIs like OpenAI adapted to physiology, develop Python scripts to customize protocols for business, analyze variances with expert metrics, produce prototypes of cardiac coach chatbots, integrate feedback loops for rapid and certifying iterations.

Module 3Production Deployment of Cardiac Coherence: Edge Computing and Embedded AI (Docker, TensorRT)

Deploy your cardiac coherence models on edge devices with Docker and TensorRT for low-latency analysis, configure CI/CD pipelines for business updates, test on real hardware like Fitbit or Apple Watch via SDKs, simulate professional stress scenarios, optimize for scalability with basic Kubernetes, generate Grafana dashboards for real-time HRV monitoring, deliver a certifiable deployable MVP for HR teams.

Module 4Expert Strategies in Cardiac Coherence: Predictive AI and Impact Evaluation (SHAP, Business Cases)

Build predictive burnout models via cardiac coherence and SHAP for AI explanations, analyze business cases from leading companies, develop customized KPIs for well-being ROI, practice post-deployment audits, integrate ethics and GDPR into your solutions, finalize a capstone project with certifying report, receive expert feedback for immediate deployment in professional contexts.

Evaluation method

Continuous evaluation through practical exercises and expert quizzes on deep learning HRV
Final project: development of a complete AI model for cardiac coherence in business
Qualiopi certification attestation issued after advanced MCQ and presentation

Learning method

70% hands-on with real AI tools (TensorFlow, Python, wearables)
30% advanced theory on physiology and deep learning algorithms
Real-world case studies of companies optimizing performance via cardiac coherence
Real-time simulations and hackathons for expert mastery