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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.
Which format do you prefer?
30 free minutes with a training advisor — no commitment.
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No-Code / Low-Code training in Leeds in November 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
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Don't let this gap widen
Without advanced MLflow, 70% of ML projects fail in production (Gartner 2023), wasting 40h/week on chaotic manual tracking.
Costs explode +35% with budgets overrun due to re-provisioning.
Obsolete models cause revenue losses of 20-50k€/quarter in e-commerce.
Zero scalability blocks growth, frustrated teams leave (turnover +25%).
Deployment errors cause 48h downtime, lost customers.
Invest 21h, avoid chaos, achieve 10x ROI in 3 months via smooth MLOps.
The Advanced MLflow Training - Efficiently Deploy ML in Production 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.
To ensure the quality of the Advanced MLflow Training - Efficiently Deploy ML in Production training, Learni provides the following 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.
The assessment of skills acquired during the Advanced MLflow Training - Efficiently Deploy ML in Production training is carried out through:
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.
Learni training programs are available for inter-company and intra-company settings, both in-person and remote. Registration is possible up to 48 business hours before the start of training. Our programs are eligible for OPCO, Pôle emploi, and FNE-Formation funding. Contact us to discuss your training project and funding possibilities.
Dive into MLflow Tracking, install your local server, log TensorFlow experiments with seamless autologging, compare runs via interactive UI, export artifacts to CSV, complete exercises on real Kaggle datasets, create custom reports, everything to track effortlessly and accelerate iterations.
Master the Model Registry, upload versioned PyTorch models, manage staging-to-production transitions, optimize hyperparameters via integrated sweeps, integrate with Git for traceability, practice real e-commerce cases, generate deployable deliverables, boost team collaboration in an instant.
Deploy to production with MLflow Serving on Kubernetes, automate pipelines with GitHub Actions, scale via Docker Compose, test A/B experiments live, resolve real data leaks, produce reproducible blueprints, conclude with a personal capstone project, ready to scale your ML tomorrow.
Target audience
Data Scientists, ML Engineers, AI DevOps professionals seeking to upskill in MLOps.
Prerequisites
Advanced Python proficiency, Scikit-learn, TensorFlow/PyTorch, basic Docker and Kubernetes.
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