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Training Amazon SageMaker 2026 - Automate Low-Code ML in the Enterprise

Ref: EAW225
10 people max.
From $2,310 HT / per person
Pay in 3 installments · On-site on request · +$540 with certification exam
2 days
Remote

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Learning objectives

  • Master advanced low-code workflows in Amazon SageMaker 2026 for professional certifying projects
  • Develop and deploy automated ML pipelines without intensive coding in the enterprise
  • Optimize AI models with SageMaker's no-code tools for immediate performance gains
  • Design scalable low-code applications tailored to business needs
  • Implement Zapier and Power Apps integrations with SageMaker for smooth automations
  • Acquire certifying skills in No-Code & Low-Code to boost your career

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

  • 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.

Allan BUSI
Allan BUSI

Learni trainer · AI expert

73%productivity gap
×3cost of inaction

Program

Module 1Amazon SageMaker 2026: Advanced Low-Code Workflows and Automated Pipelines (Studio, Canvas, Processing Jobs)

Discover expert configurations of SageMaker Studio to orchestrate low-code ML pipelines, configure Processing jobs with real datasets, integrate Bubble for interactive dashboards, perform practical exercises on feature engineering automation, test models without a line of code via Canvas, produce production-ready deliverables like scalable endpoints, and validate your skills through a concrete e-commerce business case for optimized churn prediction.

Module 2Amazon SageMaker 2026: Expert Deployment and No-Code Integrations (Autopilot, JumpStart, Zapier/Make/Power Apps)

Dive into advanced deployment with Autopilot for automatic hyperparameter tuning, leverage JumpStart for customized pre-trained models, integrate Zapier and Make for cross-platform workflows, connect Power Apps to SageMaker for low-code business interfaces, practice on real cases like fraud detection in finance, generate quantified performance reports, and complete a full project with real-time monitoring, ensuring rapid and secure production deployment for your enterprise AI initiatives.

Evaluation method

  • Technical quiz on SageMaker workflows and low-code integrations
  • Practical project of an automated ML pipeline with functional deliverable
  • Qualiopi certifying attestation validating advanced No-Code skills

Learning method

  • Hands-on practical exercises in remote format with dedicated AWS environment
  • Real case studies of companies using SageMaker low-code
  • Individual support in small groups of maximum 10 participants
  • Post-training resources: replays, templates, and alumni community

Methods, materials and delivery

The Training Amazon SageMaker 2026 - Automate Low-Code ML 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.

Equipment required

For the smooth delivery of the Training Amazon SageMaker 2026 - Automate Low-Code ML in the Enterprise 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 in the Enterprise 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 in the Enterprise training cost?+
The individual price is $2,310 (USD). A detailed quote is sent within one business day.
How long is the Training Amazon SageMaker 2026 - Automate Low-Code ML in the Enterprise 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 AWS proficiency, machine learning experience, regular use of SageMaker Studio and Python for data processing
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.
On-site & remote

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