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.
1 seat held for the next session
Request a call back and an advisor reaches you within 24 business hours, Monday to Saturday.

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 mastery of Amazon SageMaker in 2026, 70% of ML projects fail in production according to Gartner, wasting up to 150k€ per delayed initiative.
Non-expert teams lose 45% of time on manual tuning and unstable deployments, multiplying model drift incidents by 5.
In companies, 82% of AWS recruiters reject profiles without advanced SageMaker skills, widening the competitive gap against rivals scaling 3x faster.
Outdated skills risk exorbitant costs and market share loss: invest now to secure performance and career.
Install and configure SageMaker Studio for an expert environment, create complete pipelines with processing jobs on massive datasets using Pandas and Scikit-learn, launch distributed training on GPU with TensorFlow or PyTorch on real enterprise cases, optimize hyperparameters via automatic tuning with detailed reports, perform practical exercises on your ML project, produce reproducible notebooks and receive personalized code review by the trainer for immediate skill enhancement.
Deploy scalable SageMaker endpoints with auto-scaling and VPC security, integrate bias detection via Clarify on real models, configure Model Monitor for real-time drift detection with CloudWatch alerts, implement CI/CD via CodePipeline for continuous deployments, test on enterprise scenarios with A/B testing, generate custom dashboards and cost optimization plans, conclude with an end-to-end project deployed in simulated production, highlighting your certifiable enterprise skills.
The Training Amazon SageMaker - Scaling ML to Production 2026 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 Amazon SageMaker - Scaling ML to Production 2026 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 Amazon SageMaker - Scaling ML to Production 2026 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.
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Automation & workflowsIndustry-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.