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.
Training Weights & Biases - Accelerate ML Projects in Teams
Trusted by — schools, companies and industrial groups
40,869 programs · 25 countries
Every program built with a dedicated engineer
Companies: Aptar, ArcelorMittal, Equans, EDF, Ubisoft and Microsoft.
Weights & Biases training objectives
- Master Weights & Biases for logging and tracking ML experiments in a professional environment
- Develop certified collaborative workflows with advanced dashboards
- Implement optimized hyperparameter sweeps to accelerate model convergence
- Design automated reports and artifacts for enterprise production deployment
- Optimize ML experiment reproducibility with integrated versioning
- Integrate Weights & Biases into CI/CD pipelines for expert MLOps skills
Program
Weights & Biases curriculum: 2 modules over 2 days
Module 1 : Weights & Biases Integration: Advanced Logging and Sweeps (PyTorch, TensorFlow, Real Datasets)
Expert configuration of Weights & Biases projects in complex ML environments, automatic logging of metrics, hyperparameters, and models with PyTorch or TensorFlow, launching massive sweeps to explore parameter spaces, practical exercises on real company datasets like CIFAR-10 or custom, interactive analysis of results via real-time dashboards, production of preliminary reports and iterative model optimization for immediate performance gains, transforming your workflows into a well-oiled professional machine.
Module 2 : MLOps Collaboration with Weights & Biases: Dashboards, Artifacts, and Deployment (Teams, CI/CD)
Building shared collaborative dashboards for data teams, advanced artifact management with automatic versioning of datasets and models, integration into GitHub Actions or Jenkins pipelines for seamless deployment, exercises on concrete company cases involving multi-user setups and full reproducibility, generation of executive reports with custom visualizations, live production simulation with monitoring, finalization of a deployable ongoing project demonstrating immediate business value and preparing for expert MLOps certification.
How Weights & Biases skills are assessed
- Expert quiz on Weights & Biases logging and sweeps
- Evaluation via ongoing ML optimization project
- Oral defense of collaborative dashboard in front of trainer
How the Weights & Biases course is taught
- Sessions led by active ML trainer at tech leaders
- Hands-on exercises on real company cases and open-source datasets
- Evolving ongoing project over 2 days with continuous feedback
- Detailed course materials, W&B templates, and unlimited replay access
Weights & Biases training: access and practical arrangements
The Training Weights & Biases - Accelerate ML Projects in Teams 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 Weights & Biases - Accelerate ML Projects in Teams 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 Weights & Biases - Accelerate ML Projects in Teams 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.
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.
Our method
How Learni guarantees the quality of your Weights & Biases training
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.
Our social commitment
A school kit donated to a child for every training booked
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
FAQ
Weights & Biases: frequently asked questions
Which tools are used in Weights & Biases training?+
Hands-on work runs on pyTorch, tensorFlow, real Datasets, teams, CI and CD. Those tools come from the Weights & Biases program itself, delivered on site over 2 days, so participants practise on the stack they will use at work.
What can participants do after Weights & Biases training?+
They can master Weights & Biases for logging and tracking ML experiments in a professional environment, develop certified collaborative workflows with advanced dashboards and implement optimized hyperparameter sweeps to accelerate model convergence. Those are the stated objectives of the Weights & Biases program at Expert level, checked by the end-of-session assessment.
What does the Weights & Biases program cover, day by day?+
Day 1: Weights & Biases Integration: Advanced Logging and Sweeps (PyTorch, TensorFlow, Real Datasets). Day 2: MLOps Collaboration with Weights & Biases: Dashboards, Artifacts, and Deployment (Teams, CI/CD). The Weights & Biases program runs over 2 days, delivered on site.
How is Weights & Biases training assessed?+
Assessment relies on expert quiz on Weights & Biases logging and sweeps, evaluation via ongoing ML optimization project and oral defense of collaborative dashboard in front of trainer. Learni issues a completion certificate together with the individual assessment report at the end of the Weights & Biases program, which an L&D team can file as evidence.
How much does Weights & Biases training cost per participant?+
Weights & Biases training costs $2,310 per participant. For an in-company team, the flat rate starts at $4,190 for the whole group, up to 8 people. The detailed quote, sent within one business day, adjusts the amount to the format and how far the syllabus is tailored to your team.
How long does Weights & Biases training take?+
2 days, available live online (US time zones) or on-site at your offices. Half-day tracks spread over several weeks are possible so the team stays operational.
Who pays for Weights & Biases training?+
Most US teams pay directly through their company L&D or training budget. Learni invoices in US dollars and accepts bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
What do participants need to know before Weights & Biases training?+
Advanced expertise in Python, PyTorch or TensorFlow, management of datasets and complex ML models.
Is a certificate issued after Weights & Biases training?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report. Learni is a certified training provider and prepares for third-party certifications, but does not award them itself.
Does Learni provide the equipment for Weights & Biases training?+
No. A computer and a stable internet connection are required for each participant. Learni provides the learning platform, the trainer and all course materials.
Your professional training, anywhere
Let's build your Weights & Biases learning path.
30 minutes with a learning advisor. No commitment. No sales pitch dressed up as a demo.
Reply within 24h · Vetted experts · USD invoicing · W-9 available
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