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 expert mastery of Amazon SageMaker, 85% of enterprise ML projects fail in production according to Gartner, resulting in annual losses of 12 million € per non-scalable model.
Teams lose weeks on inefficient manual tuning, exposing the business to undetected biases and costly model drift.
Careers stagnate against the competition: junior data scientists become experts in 6 months via SageMaker, while others risk obsolescence.
Invest now to secure your ML pipelines and boost AI ROI by 300%.
Discover SageMaker pipeline architectures for distributed processing of massive datasets, configure Processing Jobs with Spark and custom containers, perform practical exercises on real feature stores, integrate real-time S3 data, produce automated data quality reports, apply scalable transformations on concrete enterprise cases, validate deliverables via interactive SageMaker dashboards.
Dive into automated hyperparameter tuning with Bayesian Optimization, train distributed models on GPU/TPU via SageMaker Training, deploy elastic endpoints with autoscaling, test live A/B experiments, optimize latency via Triton compilation, integrate custom ONNX models, generate production-ready artifacts, analyze metrics via CloudWatch in high-load scenarios.
Implement end-to-end MLOps pipelines with SageMaker Projects and Pipelines, configure Model Registry for advanced governance, enable Clarify for bias detection and explainability, monitor model drift in real-time via Model Monitor, automate rollbacks and retrainings, integrate with Kubernetes EKS for hybridization, deploy secure solutions with VPC and fine-grained IAM, conclude with a deliverable and certifiable capstone project.
The Training Amazon SageMaker - Deploying Scalable ML Pipelines 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 Scalable ML Pipelines 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 Scalable ML Pipelines 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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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.