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Training Amazon SageMaker - Deploying ML Models in the Enterprise

Ref: WWA403
10 people max.
From $4,620 HT / per person
On-site on request · +$540 with certification exam
4 days
Remote

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Microsoft
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Learning objectives

  • Master model training with SageMaker in a professional context
  • Develop low-code skills to automate ML workflows in the enterprise
  • Design efficient data pipelines with SageMaker and Zapier
  • Implement no-code solutions integrating Power Apps and Bubble
  • Optimize ML models for certifying use cases in production
  • Configure secure and scalable deployments in SageMaker
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 do not master SageMaker lose an average of 35 % productivity on their data projects according to a Gartner 2024 study.

  • Without these skills, teams fall behind on model deployment and face greater dependence on external providers.

  • Professionals without training risk rapid obsolescence of their profile in the low-code ML market.

  • Acting now prevents these quantified losses and secures their position in the company.

Allan BUSI
Allan BUSI

Learni trainer · AI expert

73%productivity gap
×3cost of inaction

Program

Module 1Theme: Introduction to SageMaker Canvas and Data Preparation (low-code tools, AWS methods, dataset deliverables)

Participants discover SageMaker Canvas to import and clean data without coding. They use low-code connectors to link external sources, complete practical exercises on business cases, and deliver an initial dataset ready for modeling. The approach emphasizes professional best practices and traceability of transformations.

Module 2Theme: Model Training with SageMaker and Zapier Integration (Canvas tools, AutoML methods, model deliverables)

This day focuses on low-code training of predictive models in SageMaker. Learners configure AutoML experiments, integrate Zapier to automate notifications, and test real-world scenarios. They produce a trained model with performance metrics and a connected alert workflow.

Module 3Theme: Deployment and Automation with SageMaker, Make, and Power Apps (low-code tools, endpoint methods, API deliverables)

Participants deploy models via SageMaker endpoints and connect them to Make for advanced automations. They create simple interfaces with Power Apps to expose predictions to business users. Each exercise results in a functional deliverable ready for enterprise use.

Module 4Theme: Optimization and Governance of SageMaker in Production (monitoring tools, low-code MLOps methods, dashboard deliverables)

The final day covers cost optimization, performance monitoring, and model governance in SageMaker. Learners integrate Bubble for collaborative dashboards and complete a full project incorporating all tools covered. They leave with a deliverable certifying their skill development.

Evaluation method

  • Daily quizzes to validate acquired knowledge
  • Ongoing evaluation of the capstone project
  • Final presentation of the professional deliverable

Learning method

  • Live demonstrations on SageMaker Canvas
  • Practical exercises based on business cases
  • Pair work with instructor feedback
  • Access to a post-training resource platform

Methods, materials and delivery

The Training Amazon SageMaker - Deploying ML Models 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 - Deploying ML Models 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 - Deploying ML Models 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 - Deploying ML Models in the Enterprise training cost?+
The price is $4,620 (USD) per participant. A detailed quote is sent within one business day.
How long is the Training Amazon SageMaker - Deploying ML Models in the Enterprise training?+
The training lasts 4 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 data and AWS, regular practice with low-code tools such as advanced Excel or Power BI
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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