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Training Amazon SageMaker 2026 - Automate Low-Code ML Pipelines

Ref: OHZ367
10 people max.
From $2,625 HT / per person
On-site on request · +$540 with certification exam
2 days
Remote

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Learning objectives

  • Master the low-code tools of Amazon SageMaker 2026 to develop professional certifying skills
  • Configure automated training pipelines tailored to enterprise needs
  • Optimize ML models with Autopilot and SageMaker Studio through practical training
  • Deploy scalable endpoints for production applications in enterprise settings
  • Implement monitoring and governance for certifying ML projects
  • Integrate SageMaker into no-code workflows for professional efficiency gains
  • Acquire Amazon SageMaker skills certification to boost your career
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Our social commitment

A school kit donated to a child for every training

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

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.

Don't let this gap widen

Why this program matters

  • Ignoring Amazon SageMaker 2026 dooms your ML projects to failure: 85% of machine learning initiatives fail due to lack of automation according to Forrester, wasting up to 1M€ per failed deployment in wasted engineer time and unnecessary cloud resources.

  • Your competitors scale inferences in hours via low-code, while your teams lose months on manual coding, stalling product innovation and revenue.

  • Do you risk career stagnation, skill obsolescence in the face of ubiquitous AI, or market losses estimated at 20% of annual revenue?

  • Master SageMaker now to turn these threats into company competitive leadership and secure ML ROI multiplied by 5 in smooth production.

Allan BUSI
Allan BUSI

Learni trainer · AI expert

73%productivity gap
×3cost of inaction

Program

Module 1Amazon SageMaker 2026: Model Training and Optimization (SageMaker Studio, Autopilot, notebooks)

Discover SageMaker Studio to launch interactive notebooks on real datasets, configure automated training jobs with Autopilot to detect optimal hyperparameters without intensive coding, perform practical exercises on image classification and time series prediction, test built-in algorithms like XGBoost, generate detailed performance reports, apply concrete enterprise cases like customer churn, produce deployment-ready models with low-code focus to accelerate professional development.

Module 2Amazon SageMaker 2026: Deployment, Monitoring, and Scaling (Endpoints, Kaniko, Clarify)

Dive into serverless endpoint deployment for real-time inference, configure auto-scaling with traffic management, integrate CloudWatch monitoring and anomaly alerting, explore bias detection tools via Clarify for ethical governance, practice exercises on model A/B testing, migrate legacy workflows to low-code CI/CD pipelines, analyze costs and optimization with Savings Plans, finalize capstone projects on product recommendation, deliver scalable production architectures adapted to enterprise challenges, consolidate certifying skills in Amazon SageMaker 2026.

Evaluation method

  • Technical quiz on pipelines and ML optimization
  • Practical project: deployment of scalable endpoint
  • Company case study with deliverable report
  • Qualiopi certifying skills attestation

Learning method

  • 80% practical hands-on approach in remote format
  • Real enterprise No-Code & Low-Code cases
  • Individual coach support with 1/5 ratio
  • Post-training replay resources and templates
  • Continuous feedback for optimal mastery

Methods, materials and delivery

The Training Amazon SageMaker 2026 - Automate Low-Code 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.

Equipment required

For the smooth delivery of the Training Amazon SageMaker 2026 - Automate Low-Code ML Pipelines 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 Amazon SageMaker 2026 - Automate Low-Code ML Pipelines 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.

Our method

Training quality, guaranteed at every step

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.

Step 1

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.
Step 2

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.
Step 3

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.
Step 4

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.

FAQ

Frequently asked questions

How much does the Training Amazon SageMaker 2026 - Automate Low-Code ML Pipelines training cost?+
The price is $2,625 (USD) per participant. A detailed quote is sent within one business day.
How long is the Training Amazon SageMaker 2026 - Automate Low-Code ML Pipelines training?+
The training lasts 2 journées, available live online (US time zones) or on-site at your offices.
How is this training paid for?+
Most US teams pay directly through their company (L&D or training budget). We invoice in US dollars and accept bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
Are there any prerequisites?+
Basic knowledge of Python, machine learning concepts, familiarity with AWS and an active account
Is a certificate delivered at the end?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report.
Does Learni provide the equipment?+
No. A computer and stable internet connection are required for the participant. Learni provides the educational platform, the trainer and all course materials.
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