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Training Amazon SageMaker 2026 - Deploy Expert No-Code ML

Ref: XZE638
10 people max.
From $5,775 HT / per person
Pay in 3 installments · On-site on request · +$540 with certification exam
5 days
Remote

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Learning objectives

  • Master Amazon SageMaker 2026 for professional projects
  • Develop certified enterprise no-code skills
  • Design optimized ML pipelines with low-code tools
  • Implement Zapier automations for expert models
  • Deploy Power Apps solutions integrated with SageMaker
  • Optimize AI performance in a certified training context
  • Configure Bubble workflows connected to 2026 models

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 1Theme: Discovering Amazon SageMaker 2026 (Canvas no-code, Studio, first models)

Participants explore the no-code features of Amazon SageMaker 2026 through Canvas and Studio. They complete practical exercises in data preparation, build simple predictive models, and analyze real-world business cases. Deliverables include a first deployed model and a report on tool exploration.

Module 2Theme: Integrating Amazon SageMaker 2026 (Power Apps, low-code connections)

Focus on integrating Amazon SageMaker 2026 with Power Apps for business applications. Learners configure data flows, test automations, and validate real scenarios. Practical exercises result in a connected and optimized application deliverable.

Module 3Theme: Automating Amazon SageMaker 2026 (Zapier & Make, expert workflows)

Exploration of Zapier and Make integrations with Amazon SageMaker 2026. Creation of automated workflows, alert management, and multi-tool synchronization. Professional use cases enable production of complete pipelines and operational deliverables.

Module 4Theme: Advanced Amazon SageMaker 2026 (Bubble, no-code customization)

Building advanced interfaces with Bubble connected to Amazon SageMaker 2026. Development of interactive dashboards, permission management, and performance testing. Concrete projects lead to a deployed no-code enterprise application.

Module 5Theme: Certification Amazon SageMaker 2026 (optimization, final deployment)

Comprehensive review of Amazon SageMaker 2026 knowledge, model optimization, and certification preparation. Real-project simulations, final adjustments, and deliverable presentations. Closure with a personalized professional action plan.

Evaluation method

  • Daily practical projects
  • Knowledge validation quizzes
  • Final defense of use cases

Learning method

  • Guided exercises on real tools
  • Concrete business cases
  • Personalized expert feedback
  • Resources and templates provided

Methods, materials and delivery

The Training Amazon SageMaker 2026 - Deploy Expert No-Code ML 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 - Deploy Expert No-Code ML 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 - Deploy Expert No-Code ML 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 - Deploy Expert No-Code ML training cost?+
The individual price is $5,775 (USD). A detailed quote is sent within one business day.
How long is the Training Amazon SageMaker 2026 - Deploy Expert No-Code ML training?+
The training lasts 5 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?+
Proficiency in AWS, advanced ML concepts, experience in professional data projects
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

This training across cities

Available on-site and remotely. Pick your city to see the local training center.

Your professional training, anywhere

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