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
Companies that do not master SageMaker lose an average of 35 % productivity on their data projects according to a Gartner 2024 study.
Without these skills, teams fall behind on model deployment and face greater dependence on external providers.
Professionals without training risk rapid obsolescence of their profile in the low-code ML market.
Acting now prevents these quantified losses and secures their position in the company.
Participants discover SageMaker Canvas to import and clean data without coding. They use low-code connectors to link external sources, complete practical exercises on business cases, and deliver an initial dataset ready for modeling. The approach emphasizes professional best practices and traceability of transformations.
This day focuses on low-code training of predictive models in SageMaker. Learners configure AutoML experiments, integrate Zapier to automate notifications, and test real-world scenarios. They produce a trained model with performance metrics and a connected alert workflow.
Participants deploy models via SageMaker endpoints and connect them to Make for advanced automations. They create simple interfaces with Power Apps to expose predictions to business users. Each exercise results in a functional deliverable ready for enterprise use.
The final day covers cost optimization, performance monitoring, and model governance in SageMaker. Learners integrate Bubble for collaborative dashboards and complete a full project incorporating all tools covered. They leave with a deliverable certifying their skill development.
The Training Amazon SageMaker - Deploying ML Models in the Enterprise 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 - Deploying ML Models in the Enterprise 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 - Deploying ML Models in the Enterprise 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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MLOps & AI industrialisationIndustry-certified
MLOps & AI industrialisationIndustry-certified
MLOps & AI industrialisationIndustry-certified
MLOps & AI industrialisationIndustry-certified
MLOps & AI industrialisationIndustry-certified
MLOps & AI industrialisationIndustry-certified
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No-code & low-codeIndustry-certified
No-code & low-codeIndustry-certified
No-code & low-codeIndustry-certified
No-code & low-codeIndustry-certified
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Collaboration toolsIndustry-certified
Collaboration toolsIndustry-certified
Collaboration toolsIndustry-certified
Collaboration toolsIndustry-certified
Collaboration toolsIndustry-certified
Collaboration toolsIndustry-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.