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.
Describe your need, get a tailored program and a pre-filled quote in 3 min. A 100% free call with an advisor.
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
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.
Dive into GAN and VAE algorithms to faithfully recreate complex real data distributions, install and configure TensorFlow Probability and PyTorch for rapid prototypes, perform practical exercises on sensitive tabular datasets like health or finance, evaluate initial quality via KS-test and Wasserstein distance, produce your first GDPR-compliant synthetic dataset with controlled privacy budgets, and document metrics for immediate professional use.
Get hands-on with the SDV library for generating multi-table relational synthetic data, integrate CTGAN for heterogeneous tabular data with custom conditions, develop automated Python scripts on concrete enterprise cases like e-commerce or IoT, test correlation preservation via PCA and Pearson correlations, optimize hyperparameters to scale on large volumes, and generate a deliverable ready for ML training with a detailed validation report.
Learn to measure synthetic data fidelity with SNBA, train-test overlap, and downstream ML performance, integrate differential privacy via Opacus or TensorFlow Privacy to protect sensitive data, apply these techniques to your ongoing project with anonymized real datasets, simulate inference attacks to validate robustness, adjust models to balance utility and privacy, and produce a quality monitoring dashboard usable in professional data teams.
Design distributed workflows with Dask and Ray to generate terabytes of synthetic data, deploy on AWS SageMaker or GCP Vertex AI with Docker containers, integrate into CI/CD pipelines using GitHub Actions for automatic regeneration, test scalability on virtual clusters with timed exercises, manage cloud costs via spot instances, and finalize a deployable blueprint to accelerate ML iterations in production, boosting your company's competitiveness.
Explore synthetic time-series generation with TimeGAN and images via adapted StyleGAN, combine modalities for multimodal datasets using CLIP embeddings, resolve edge cases like imbalanced classes or rare events with hybrid SMOTE-GAN approaches, apply everything to a real enterprise challenge with fine-tuning, evaluate impact on final ML accuracy, and prepare a certifying project presentation with source code, report, and strategic recommendations for maximum ROI.
The Training Synthetic Data Generation - Creating Scalable AI Datasets 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.
For the smooth delivery of the Training Synthetic Data Generation - Creating Scalable AI Datasets program, the following equipment is required:
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.
Assessment of skills acquired during the Training Synthetic Data Generation - Creating Scalable AI Datasets program is performed through:
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.
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.
« cool, j'ai appris des trucs »
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
« 😊👍 »
« bien 👍 »
« Allan Busi t'es au top, continue comme ça. formation géniale »
« cool, j'ai appris des trucs »
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
« 😊👍 »
« bien 👍 »
« Allan Busi t'es au top, continue comme ça. formation géniale »
« cool, j'ai appris des trucs »
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
« 😊👍 »
« bien 👍 »
« Allan Busi t'es au top, continue comme ça. formation géniale »
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.
Each trainer is validated on three criteria: hands-on field expertise, proven pedagogy and alignment with your industry.
30-minute video call between you and the selected trainer to validate the fit, adjust content and clear any final doubts.
No recycled slides. The syllabus is reworked from your real cases: tools, constraints, vocabulary, ongoing projects.
Live evaluations, 30/90/180-day check-ins and a consolidation plan. If the impact misses the mark, we rework it.
A simple promise: you don't pay to discover the trainer on day one. Everything is validated upfront, by you.
Data ScienceIndustry-certified
Data ScienceIndustry-certified
Data ScienceIndustry-certified
Data ScienceIndustry-certified
Data ScienceIndustry-certified
Data ScienceIndustry-certified
Développement WebIndustry-certified
Développement WebIndustry-certified
Développement WebIndustry-certified
Développement WebIndustry-certified
Développement WebIndustry-certified
Développement WebIndustry-certified
Conformité & RGPDIndustry-certified
Conformité & RGPDIndustry-certified
Conformité & RGPDIndustry-certified
Conformité & RGPDIndustry-certified
Conformité & RGPDIndustry-certified
Conformité & RGPDIndustry-certified
Droit du NumériqueIndustry-certified
Droit du NumériqueIndustry-certified
Droit du NumériqueIndustry-certified
Droit du NumériqueIndustry-certified
Droit du NumériqueIndustry-certified
Droit du NumériqueIndustry-certified30 minutes with a learning advisor. No commitment. No sales pitch dressed up as a demo.