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 this upskilling, your team accumulates a technological gap that translates directly into productivity loss.
Organizations that don't train their talents on key topics see their competitiveness drop.
Every quarter without training is a gap widening with competitors who invest.
The cost of inaction quickly exceeds that of well-targeted training.
Dive into SageMaker Studio to create secure collaborative notebooks, configure Python environments with ML libraries like scikit-learn and TensorFlow, prepare massive datasets via automated processing jobs, clean and transform real enterprise data with Pandas and SageMaker Data Wrangler, perform practical exercises on a concrete customer prediction case, produce training-ready datasets with included quality reports.
Launch distributed training jobs on GPU to train XGBoost or deep learning models, optimize hyperparameters via Automatic Model Tuning on large datasets, deploy scalable serverless endpoints with A/B testing, integrate real-time monitoring via Model Monitor to detect drift, test batch and real-time inferences on business use cases, generate deliverables like CloudWatch dashboards and cost optimization plans, validate skills through an end-to-end project deployment.
The Training Amazon SageMaker - Automating ML Pipelines 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 Amazon SageMaker - Automating ML Pipelines 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 Amazon SageMaker - Automating ML Pipelines 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.
Data EngineeringIndustry-certified
IA générative & LLMIndustry-certified
Amazon Web ServicesIndustry-certified
MLOps & industrialisation IAIndustry-certified
MLOps & industrialisation IAIndustry-certified
MLOps & industrialisation IAIndustry-certified
MLOps & industrialisation IAIndustry-certified
MLOps & industrialisation IAIndustry-certified
MLOps & industrialisation IAIndustry-certified
MLOps & industrialisation IAIndustry-certified
Amazon Web ServicesIndustry-certified
Amazon Web ServicesIndustry-certified
Amazon Web ServicesIndustry-certified
Amazon Web ServicesIndustry-certified
Amazon Web ServicesIndustry-certified
Amazon Web ServicesIndustry-certified
IA générative & LLMIndustry-certified
IA générative & LLMIndustry-certified
IA générative & LLMIndustry-certified
IA générative & LLMIndustry-certified
IA générative & LLMIndustry-certified
IA générative & LLMIndustry-certified
Automatisation & workflowsIndustry-certified
Automatisation & workflowsIndustry-certified
Automatisation & workflowsIndustry-certified
Automatisation & workflowsIndustry-certified
Automatisation & workflowsIndustry-certified
Automatisation & 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.