Training Amazon SageMaker - Automating ML Pipelines in Production

$2,310

  • 2 days
  • Onsite
  • 10 people max.
Ref: DKB886
10 people max.
$2,310
In-company rate: from $4,190 for the whole team
On-site and certification exam on quote
2 days
Onsite

Don't let this gap widen

Why this program matters

  • Without Amazon SageMaker, data scientists lose 50% of their time on manual ML setups, driving 30% higher AWS costs from poor optimization.

  • Models not deployed scalably cause 40% of production failures, with model drift incidents at 25% according to Gartner 2025.

  • Companies without SageMaker skills see their AI projects delayed by 3 months on average, risking 20% market share loss to automated competitors.

  • Master SageMaker now to avoid these critical business losses and accelerate your ML ROI.

Allan BUSI, Learni trainer · AI expert
Allan BUSI

Learni trainer · AI expert

73%productivity gap
×3cost of inaction
Flag of the United StatesBuilt for US teams
Payment by wire transferEnhanced confidentialityPerfect for companies with 50 to 500 employeesScheduling to fit any time zone

Trusted by — schools, companies and industrial groups

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Every program built with a dedicated engineer

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Companies: Aptar, ArcelorMittal, Equans, EDF, Ubisoft and Microsoft.

Amazon SageMaker training objectives

  • Master Amazon SageMaker for professional and certifiable ML pipelines
  • Configure SageMaker notebooks and data processing jobs
  • Develop ML models trained with hyperparameter tuning
  • Deploy scalable SageMaker endpoints in production
  • Optimize monitoring and automation of ML workflows
  • Implement enterprise-tailored SageMaker skills

Amazon SageMaker curriculum: 2 modules over 2 days

Module 1 : SageMaker: Notebooks and Data Preparation (Studio, Processing Jobs, Datasets)

Dive into SageMaker Studio to create secure collaborative notebooks, configure Python environments with ML libraries like scikit-learn and TensorFlow, prepare massive datasets via automated processing jobs, clean and transform real enterprise data with Pandas and SageMaker Data Wrangler, perform practical exercises on a concrete customer prediction case, produce training-ready datasets with included quality reports.

Module 2 : SageMaker: Training, Deployment, and Monitoring (Training Jobs, Endpoints, Model Monitor)

Launch distributed training jobs on GPU to train XGBoost or deep learning models, optimize hyperparameters via Automatic Model Tuning on large datasets, deploy scalable serverless endpoints with A/B testing, integrate real-time monitoring via Model Monitor to detect drift, test batch and real-time inferences on business use cases, generate deliverables like CloudWatch dashboards and cost optimization plans, validate skills through an end-to-end project deployment.

How Amazon SageMaker skills are assessed

  • Technical MCQ on SageMaker at the end of the training
  • Evaluation through practical exercises and ML debugging
  • Defense of the complete ML pipeline before the expert trainer

How the Amazon SageMaker course is taught

  • Sessions led by an active AWS-certified trainer
  • Hands-on exercises on real AWS enterprise cases
  • End-to-end SageMaker project from day 1 to final deployment
  • Digital learning materials and printed supports provided

Amazon SageMaker training: access and practical arrangements

The Training Amazon SageMaker - Automating ML Pipelines in Production 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 - Automating ML Pipelines in Production 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 - Automating ML Pipelines in Production 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.

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.

Our method

How Learni guarantees the quality of your Amazon SageMaker training

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.

A child walking to school with a backpack
Our social commitment

A school kit donated to a child for every training booked

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
Enroll and offer a kit
FAQ

Amazon SageMaker: frequently asked questions

Which tools are used in Amazon SageMaker training?+
Hands-on work runs on studio, processing Jobs, datasets, training Jobs, endpoints and model Monitor. Those tools come from the Amazon SageMaker program itself, delivered on site over 2 days, so participants practise on the stack they will use at work.
What can participants do after Amazon SageMaker training?+
They can master Amazon SageMaker for professional and certifiable ML pipelines, configure SageMaker notebooks and data processing jobs and develop ML models trained with hyperparameter tuning. Those are the stated objectives of the Amazon SageMaker program at Intermediate level, checked by the end-of-session assessment.
What does the Amazon SageMaker program cover, day by day?+
Day 1: SageMaker: Notebooks and Data Preparation (Studio, Processing Jobs, Datasets). Day 2: SageMaker: Training, Deployment, and Monitoring (Training Jobs, Endpoints, Model Monitor). The Amazon SageMaker program runs over 2 days, delivered on site.
How is Amazon SageMaker training assessed?+
Assessment relies on technical MCQ on SageMaker at the end of the training, evaluation through practical exercises and ML debugging and defense of the complete ML pipeline before the expert trainer. Learni issues a completion certificate together with the individual assessment report at the end of the Amazon SageMaker program, which an L&D team can file as evidence.
How much does Amazon SageMaker training cost per participant?+
Amazon SageMaker training costs $2,310 per participant. For an in-company team, the flat rate starts at $4,190 for the whole group, up to 8 people. The detailed quote, sent within one business day, adjusts the amount to the format and how far the syllabus is tailored to your team.
How long does Amazon SageMaker training take?+
2 days, available live online (US time zones) or on-site at your offices. Half-day tracks spread over several weeks are possible so the team stays operational.
Who pays for Amazon SageMaker training?+
Most US teams pay directly through their company L&D or training budget. Learni invoices in US dollars and accepts bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
What do participants need to know before Amazon SageMaker training?+
Proficiency in Python, basics in machine learning, and an active AWS account.
Is a certificate issued after Amazon SageMaker training?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report. Learni is a certified training provider and prepares for third-party certifications, but does not award them itself.
Does Learni provide the equipment for Amazon SageMaker training?+
No. A computer and a stable internet connection are required for each participant. Learni provides the learning platform, the trainer and all course materials.
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