Built for US teams
Payment by wire transferEnhanced confidentialityPerfect for companies with 50 to 500 employeesScheduling to fit any time zone

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Training Amazon SageMaker - Mastering Enterprise Machine Learning

Ref: SHC740
10 people max.
From $5,775 HT / per person
On-site on request · +$540 with certification exam
5 days
Remote

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Learning objectives

  • Master Amazon SageMaker for professional projects
  • Develop no-code skills applied to machine learning
  • Design predictive models tailored to business needs
  • Implement automated workflows with integrated no-code tools
  • Optimize continuous team training on SageMaker
  • Deploy certifying solutions in a professional context
A child walking to school with a backpack
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

  • Failing to master Amazon SageMaker puts the company at a major competitive disadvantage.

  • 67 % of organizations that automate machine learning gain in productivity.

  • Without these skills, teams lose growth opportunities and employees see their employability decline.

  • Acting now avoids these concrete risks to careers and results.

Allan BUSI
Allan BUSI

Learni trainer · AI expert

73%productivity gap
×3cost of inaction

Program

Module 1Theme: Introduction to Amazon SageMaker (Canvas, datasets, data preparation)

Participants discover the Amazon SageMaker environment in no-code mode via Canvas. They import real datasets, perform data cleaning, and explore basic features. Practical exercises based on business cases enable quick creation of a first project. The trainer guides each step to ensure a smooth and professional onboarding.

Module 2Theme: Modeling with Amazon SageMaker (Autopilot, algorithms, evaluation)

This day focuses on building models with Amazon SageMaker's low-code tools. Learners configure Autopilot, compare performance, and interpret metrics. Real-world business cases illustrate how to select the best model. Each participant produces a deliverable ready for deployment.

Module 3Theme: Integrating Amazon SageMaker with Zapier and Make (automations)

Trainees connect Amazon SageMaker to third-party tools using Zapier and Make. They create automated workflows to enrich data and trigger predictions. Practical exercises demonstrate how to optimize business processes. The day ends with the delivery of a functional pipeline.

Module 4Theme: Deployment and Power Apps with Amazon SageMaker (applications)

The training covers deploying Amazon SageMaker models and integrating them into low-code applications. Participants learn how to expose predictions via Power Apps. Hands-on workshops enable building a simple and professional interface. A complete application deliverable is produced by the end of the day.

Module 5Theme: Optimization and certification with Amazon SageMaker (governance, best practices)

This final day focuses on cost optimization, governance, and best practices in Amazon SageMaker. Learners review security and project maintenance. A final workshop prepares for certification. Each participant leaves with a personalized action plan for their company.

Evaluation method

  • Daily knowledge validation quizzes at the end of each day
  • Final project evaluated by the trainer
  • Certificate of professional certifying training

Learning method

  • Access to the SageMaker platform for 3 months
  • Teaching resources and session replays
  • Email support for 30 days
  • Community support from former participants

Methods, materials and delivery

The Training Amazon SageMaker - Mastering Enterprise Machine Learning 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 - Mastering Enterprise Machine Learning 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 - Mastering Enterprise Machine Learning 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 - Mastering Enterprise Machine Learning training cost?+
The price is $5,775 (USD) per participant. A detailed quote is sent within one business day.
How long is the Training Amazon SageMaker - Mastering Enterprise Machine Learning 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?+
Master the basics of computing and know how to manipulate simple data files
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.

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