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Training Amazon SageMaker 2026 - Optimizing Your Enterprise ML Models

Ref: YFM987
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 advanced SageMaker features for complex professional projects
  • Develop certified skills in no-code and low-code workflow automation
  • Design scalable ML solutions tailored to business needs
  • Implement integrations with tools like Power Apps and Zapier
  • Optimize model performance and costs in production
  • Deploy complete pipelines with data tracking and governance
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

  • Companies that fail to master advanced machine learning tools lose an average of 23% productivity on their data projects.

  • Without certified SageMaker training, teams fall behind technically and see their infrastructure costs explode.

  • Untrained data scientists struggle to advance to strategic roles and risk obsolescence.

  • Acting now prevents these losses and secures the company's competitiveness.

Allan BUSI
Allan BUSI

Learni trainer · AI expert

73%productivity gap
×3cost of inaction

Program

Module 1Theme: Advanced Introduction to Amazon SageMaker 2026 (Studio, Canvas, pipelines)

Participants discover the 2026 updates to SageMaker, configure personalized Studio environments, and explore Canvas's no-code features. They perform practical exercises on real datasets, create baseline models, and compare low-code approaches with Power Apps. Deliverables: first optimized notebook and exploration report.

Module 2Theme: Automation with SageMaker 2026 and Zapier & Make (integrated workflows)

This day focuses on orchestrating SageMaker pipelines through external automations. Learners connect SageMaker to Zapier and Make to trigger automatic training and evaluations. Real-world business cases, data mapping exercises, and creation of smart triggers. Deliverables: functional automated workflow.

Module 3Theme: Advanced SageMaker 2026 Models and Power Apps Integration (deployment)

Focus on advanced tuning, AutoML, and model deployment via low-code applications. Participants integrate SageMaker endpoints into Power Apps, test business scenarios, and optimize latencies. Practical exercises on real client cases with metric tracking. Deliverables: connected Power Apps application.

Module 4Theme: Governance and Monitoring SageMaker 2026 (security, costs)

Learners implement advanced monitoring, experiment tracking, and security policies. They analyze costs, configure alerts, and integrate reports into no-code tools. Enterprise use cases with risk simulation exercises. Deliverables: complete governance dashboard.

Module 5Theme: Final SageMaker 2026 Project (certification and presentation)

Day dedicated to a capstone project integrating all acquired skills: complete pipeline, Zapier and Make automations, Power Apps application. Each participant presents their solution to the group, receives detailed feedback, and prepares elements for professional certification. Deliverables: documented and deployed final project.

Evaluation method

  • Daily knowledge validation quizzes at the end of each day
  • Capstone project evaluated by peers and the instructor
  • Certificate of competency awarded at the end of the training

Learning method

  • Access to a hands-on platform 24/7 for 3 months
  • Resources and notebooks regularly updated
  • Post-training Q&A sessions
  • Alumni support community

Methods, materials and delivery

The Training Amazon SageMaker 2026 - Optimizing Your Enterprise ML Models 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 - Optimizing Your Enterprise ML Models 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 - Optimizing Your Enterprise ML Models 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 - Optimizing Your Enterprise ML Models 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 2026 - Optimizing Your Enterprise ML Models 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?+
Confirmed experience in machine learning, mastery of Python and cloud APIs, prior practice with data pipelines.
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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