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.
1 seat held for the next session
30:00Held for another
Request a call back and an advisor reaches you within 24 business hours, Monday to Saturday.
Training MLflow - Master ML Tracking in 5 Days
Trusted by — schools, companies and industrial groups
Every program built with a dedicated engineer
Learning objectives
- Install and configure MLflow in a local environment
- Launch tracking experiments to monitor ML runs
- Log metrics, parameters, and artifacts automatically
- Manage models via the Model Registry for quick deployment
- Orchestrate workflows with MLflow Projects and Recipes
- Deploy models in local and cloud serving
Our social commitment
A school kit donated to a child for every training
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.
- Backpack, notebooks and essential supplies
- Distributed through our partner charities
- Included, at no extra cost to you
The Learni story
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
Why this program matters
Without MLflow, 70% of ML projects fail due to lack of reliable tracking, wasting 20-30% of time recreating lost experiments.
Imagine relaunching 10 runs manually each week, risking human errors on hyperparameters, outdated model versions in production causing 15% costly false positives.
Lose opportunities to agile competitors, with teams frustrated by unmanageable notebooks.
Invest 35h to avoid these pitfalls: recover 100h/year, boost ML ROI x3, secure promotions by demonstrating mastery of pro tools.
Program
Module 1Introduction to MLflow: installation and first tracking (CLI tools, UI)
Discover MLflow by installing the tool via pip, launch your first ML run with scikit-learn, configure the local tracking server, log your metrics live, explore the intuitive UI to visualize results and artifacts, complete a practical exercise on the Iris dataset to track accuracy and execution time, leave with an operational setup that boosts your productivity from tomorrow.
Module 2Advanced Tracking: metrics, params, and artifacts (MLflow Tracking API)
Dive into the Tracking API to automatically log hyperparameters, ROC curves, and model files, compare multiple runs via the UI, organize experiments into structured projects, apply to a concrete binary classification case with XGBoost, generate automated reports, master tags for efficient filtering and searching, experience the simplicity that transforms your chaotic notebooks into reproducible pipelines.
Module 3Model Management: Model Registry and versioning (MLflow Models)
Register your best models in the centralized Registry, version them with staging and production stages, test transitions via UI, integrate with PyTorch or TensorFlow on a regression case, export to ONNX formats for compatibility, simulate a complete MLOps workflow, produce a team-ready deliverable, feel the power of total control that prevents critical version losses.
Module 4MLflow Projects: orchestration and reproducibility (MLflow Projects)
Structure your MLflow projects with YAML files, execute remote pipelines via CLI, integrate Git for automatic versioning, test on a Kaggle prediction dataset, scale with Docker in one click, collaborate frictionlessly in teams, generate executable deliverables, adopt a method that accelerates your iterations by 50% and makes your code instantly shareable.
Module 5Deployment and best practices: serving and integrations (MLflow Deployments)
Deploy models as REST API serving locally or on AWS cloud, monitor in production with Prometheus, integrate Kubeflow for scaling, review security and performance best practices, finalize with a personal capstone project on churn prediction, receive ready-to-use templates, certify your skills with a concrete portfolio, launch into production confidently and save precious hours each week.
Evaluation method
- Daily interactive quizzes
- Complete MLflow final project
- Self-assessment of skills before/after
Learning method
- Active pedagogy 70% hands-on
- Alternating real exercises/theory
- Post-training video support
Methods, materials and delivery
The Training MLflow - Master ML Tracking in 5 Days 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.
Equipment required
For the smooth delivery of the Training MLflow - Master ML Tracking in 5 Days program, the following equipment is required:
- Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, projector or interactive touch screen (for remote sessions)
- Training environments installed on workstations or accessible online
- Course materials, hands-on exercises and complementary resources
- Post-training access to materials and educational resources
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.
* contact us for remote delivery feasibility** ratio varies depending on the program
Skills assessment methods
Assessment of skills acquired during the Training MLflow - Master ML Tracking in 5 Days program is performed through:
- During training: case studies, hands-on labs and professional scenarios
- End of training: self-assessment questionnaire and skills evaluation by the trainer
- After training: completion certificate detailing acquired skills
Program accessibility
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.
Enrollment terms and lead times
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.
Our method
Training quality, guaranteed at every step
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.
You meet the trainer beforehand
30-minute video call between you and the selected trainer to validate the fit, adjust content and clear any final doubts.
- Live briefing on goals and team context.
- Veto right — we swap the trainer for free if needed.
Content tailored to your context
No recycled slides. The syllabus is reworked from your real cases: tools, constraints, vocabulary, ongoing projects.
- Hands-on cases drawn from your stack and projects.
- Program co-written then validated by your team.
Continuous quality follow-up
Live evaluations, 30/90/180-day check-ins and a consolidation plan. If the impact misses the mark, we rework it.
- NPS, knowledge quizzes and skills self-assessment.
- Satisfaction guarantee: fully satisfied or free rework.
A simple promise: you don't pay to discover the trainer on day one. Everything is validated upfront, by you.
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FAQ
Frequently asked questions
How much does the Training MLflow - Master ML Tracking in 5 Days training cost?+
The price is $5,775 (USD) per participant. A detailed quote is sent within one business day.
How long is the Training MLflow - Master ML Tracking in 5 Days training?+
The training lasts 5 journées, available live online (US time zones) or on-site at your offices.
How is this training paid for?+
Most US teams pay directly through their company (L&D or training budget). We invoice in US dollars and accept bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
Are there any prerequisites?+
Python basics, introductory Machine Learning concepts
Is a certificate delivered at the end?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report.
Does Learni provide the equipment?+
No. A computer and stable internet connection are required for the participant. Learni provides the educational platform, the trainer and all course materials.
On-site & remote
This training across cities
Available on-site and remotely. Pick your city to see the local training center.
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