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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.
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30 free minutes with a training advisor — no commitment.
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Don't let this gap widen
Without MLflow, 70% of ML projects fail due to lack of traceability, wasting weeks on non-reproducible debugging.
Data scientists lose 40% of their time recreating unstable environments, models underperform without precise run comparisons, and deployments fail 60% of the time due to lack of standardized logging.
Result: project delays, average overruns of 25k€ per team, frustration, and high turnover.
Master MLflow to avoid these pitfalls and boost your productivity from day one.
The Training MLflow - Manage your ML projects in one day 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 Training MLflow - Manage your ML projects in one day 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 Training MLflow - Manage your ML projects in one day 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 by installing the tool and configuring a local tracking server, launch your first experiment runs on real classification and regression datasets, log parameters, metrics, and artifacts with mlflow.log_metric and log_model, explore the web UI to compare performances, deploy a model via mlflow.pyfunc.serve, finish with a personal deliverable project ready to scale your ML workflows in a team.
Target audience
Beginner data scientists, ML engineers, Python developers upskilling.
Prerequisites
Python basics, Machine Learning fundamentals (scikit-learn recommended).
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