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.

To fight inequalities in access to education, Learni donates a complete school kit to a child in need for every training booked. You build your skills, a child heads back to school.
Founded by engineers and learning experts, Learni's mission is to make high-impact tech training accessible to teams everywhere. We work remotely with organizations across the US and Canada, in your time zone, to help teams upskill fast.
Don't let this gap widen
Without advanced MLflow mastery, 70% of ML projects fail in production according to Gartner, wasting 2-3 months of R&D per non-reproducible model.
Manual tracking multiplies errors by 40%, doubling IT costs.
Non-versioned models cause 25% longer downtimes, losing 100k€/year in revenue.
Non-automated pipelines hinder scaling, blocking 50% of data innovations.
Risk obsolescence against MLOps-ready competitors?
Invest 28h for 10x ROI on your secure and scalable ML deployments.
Dive into configuring an MLflow server, log parameters, metrics and artifacts via Python API, create interactive dashboards with MLflow UI, perform exercises on real datasets to compare runs, generate automated reports, while integrating TensorFlow for smooth and reproducible tracking that boosts your ML iterations.
Master the MLflow Model Registry, version PyTorch/TensorFlow models, manage stages (Staging, Production), annotate with metadata, test automated transitions, apply practical exercises on business cases, produce deliverables like secure registries ready for audit, transform your workflows into reliable and scalable processes.
Integrate MLflow into CI/CD pipelines, automate tracking and registry with GitHub Actions/Airflow, code scripts for automated triggers, simulate end-to-end deployments on Kubernetes, solve complex exercises with large data, generate deliverables like Dockerized workflows, accelerate your ML deployments by 50% right away.
Deploy models via MLflow Serving REST/gRPC, integrate Prometheus monitoring, scale with Kubernetes plugins, optimize latency on real loads, conduct final project on concrete business case, produce performance dashboards and impact reports, master best practices for robust production, propel your ML projects into profitable operations.
The Training MLflow Advanced - Master MLOps in Production program is delivered onsite or remote (blended-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 MLflow Advanced - Master MLOps in Production 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 MLflow Advanced - Master MLOps in Production 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.
Registration is possible up to 48 business hours before the start of training. All our programs are built for corporate L&D budgets and delivered onsite or remotely.
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.
Artificial IntelligenceIndustry-certified
Web DevelopmentIndustry-certified
Artificial IntelligenceIndustry-certified
Artificial IntelligenceIndustry-certified
Machine Learning & MLOpsIndustry-certified
Machine Learning & MLOpsIndustry-certified
Machine Learning & MLOpsIndustry-certified
Machine Learning & MLOpsIndustry-certified
Machine Learning & MLOpsIndustry-certified
Machine Learning & MLOpsIndustry-certified
Artificial IntelligenceIndustry-certified
Artificial IntelligenceIndustry-certified
Artificial IntelligenceIndustry-certified
Artificial IntelligenceIndustry-certified
Artificial IntelligenceIndustry-certified
Artificial IntelligenceIndustry-certified
Web DevelopmentIndustry-certified
Web DevelopmentIndustry-certified
Web DevelopmentIndustry-certified
Web DevelopmentIndustry-certified
Web DevelopmentIndustry-certified
Web DevelopmentIndustry-certified
Graphic DesignIndustry-certified
Graphic DesignIndustry-certified
Graphic DesignIndustry-certified
Graphic DesignIndustry-certified
Graphic DesignIndustry-certified
Graphic DesignIndustry-certifiedAvailable on-site and remotely. Pick your city to see the local training center.
30 minutes with a learning advisor. No commitment. No sales pitch dressed up as a demo.