Training: Become an Amazon SageMaker Expert: Deploy and Manage AI Models in Production

Specialist course · Minimum level required

$4,725

  • 3 days
  • Onsite
  • 8 people max.
Ref: PVM273
8 people max.
$4,725
In-company rate: from $8,558 for the whole teamExpertise rate: $1,575 per day, reflecting the difficulty level
On-site and certification exam on quote
3 days
Onsite

Don't let this gap widen

Why this program matters

  • Without mastery of deploying and managing AI models in production on Amazon SageMaker, 70% of machine learning projects fail to reach industrialization, stuck in the prototype phase.

  • Every scaling or monitoring error generates exorbitant cloud costs, up to 150 000 € per incident in wasted resources and unexpected downtimes.

  • Companies lose an average of 25% in competitiveness, with revenues impacted by several million annually, while data scientists see their careers stagnate against obsolete stacks.

  • Every month without SageMaker expertise exposes your business to critical and irreversible value leaks.

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

41,306 programs · 25 countries

  • Aptar
  • ArcelorMittal
  • Equans
  • EDF
  • Ubisoft
  • Microsoft
  • Atos

Every program built with a dedicated engineer

  • OpenAI
  • Anthropic
  • Mistral AI
  • NVIDIA
  • Google
  • Amazon Web Services
  • Microsoft Dynamics 365
  • Salesforce
  • ServiceNow
  • SAP
  • Oracle
  • Cisco
  • Fortinet
  • Palo Alto Networks
  • Aruba
  • VMware
  • Red Hat
  • Databricks
  • Snowflake
  • OVHcloud
  • Notion
  • AMD
  • Apple

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

Become an Amazon SageMaker Expert training objectives

  • Understand the architecture and main components of Amazon SageMaker
  • Know how to create, train, and deploy machine learning models on SageMaker
  • Set up automated and reproducible ML pipelines (MLOps)
  • Secure, monitor, and optimize models in production via SageMaker
  • Manage costs, permissions, and automate via the Python SDK and AWS CLI

Program

Become an Amazon SageMaker Expert curriculum: 3 modules over 3 days

Module 1 : Introduction to Amazon SageMaker and ML Environment Design

Presentation of AWS and the SageMaker suite, fundamental AI concepts on AWS, creation of notebook instances, environment management, IAM roles and security, first dataset explorations on SageMaker. Practical exercises: interface discovery, data imports, and manipulation via SageMaker Studio.

Module 2 : Training, Deployment, and Model Management on SageMaker

Complete ML workflow: dataset preparation, selection of native and custom algorithms, distributed training, hyperparameter tuning, endpoint creation and deployment. Pipeline integration for versioning and repeatability. Hands-on practice: training on real cases (tabular data, images, or text), job monitoring, error handling.

Module 3 : Automation, Monitoring, Optimization, and MLOps with SageMaker

Workflow industrialization: automated pipelines, CI/CD with SageMaker Pipelines, data flow security, drift monitoring, multi-model endpoints, cost management, logs and metrics, integration with other AWS services (S3, Lambda, CloudWatch). Final workshop: full model deployment, performance monitoring, and maintenance automation.

How Become an Amazon SageMaker Expert skills are assessed

  • Final case study on deploying an ML model into production with monitoring
  • Daily quizzes and validation of practical skills through supervised exercises

How the Become an Amazon SageMaker Expert course is taught

  • Guided practical workshops
  • Hands-on sessions with real datasets
  • Interactive courses and technical demos
  • Detailed materials and reusable scripts

Become an Amazon SageMaker Expert training: access and practical arrangements

The Training: Become an Amazon SageMaker Expert: Deploy and Manage AI Models 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: Become an Amazon SageMaker Expert: Deploy and Manage AI Models 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: Become an Amazon SageMaker Expert: Deploy and Manage AI Models 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 Become an Amazon SageMaker Expert 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

Become an Amazon SageMaker Expert: frequently asked questions

What can participants do after Training: Become an Amazon SageMaker Expert: Deploy and Manage AI Models in Production training?+
They can understand the architecture and main components of Amazon SageMaker, know how to create, train, and deploy machine learning models on SageMaker and set up automated and reproducible ML pipelines (MLOps). Those are the stated objectives of the Training: Become an Amazon SageMaker Expert: Deploy and Manage AI Models in Production program at Advanced level, checked by the end-of-session assessment.
What does the Training: Become an Amazon SageMaker Expert: Deploy and Manage AI Models in Production program cover, day by day?+
Day 1: Introduction to Amazon SageMaker and ML Environment Design. Day 2: Training, Deployment, and Model Management on SageMaker. Day 3: Automation, Monitoring, Optimization, and MLOps with SageMaker. The Training: Become an Amazon SageMaker Expert: Deploy and Manage AI Models in Production program runs over 3 days, delivered on site.
How is Training: Become an Amazon SageMaker Expert: Deploy and Manage AI Models in Production training assessed?+
Assessment relies on final case study on deploying an ML model into production with monitoring and daily quizzes and validation of practical skills through supervised exercises. Learni issues a completion certificate together with the individual assessment report at the end of the Training: Become an Amazon SageMaker Expert: Deploy and Manage AI Models in Production program, which an L&D team can file as evidence.
How much does Training: Become an Amazon SageMaker Expert: Deploy and Manage AI Models in Production training cost per participant?+
Training: Become an Amazon SageMaker Expert: Deploy and Manage AI Models in Production training costs $4,725 per participant. For an in-company team, the flat rate starts at $8,558 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 Training: Become an Amazon SageMaker Expert: Deploy and Manage AI Models in Production training take?+
3 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 Training: Become an Amazon SageMaker Expert: Deploy and Manage AI Models in Production 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 Training: Become an Amazon SageMaker Expert: Deploy and Manage AI Models in Production training?+
Good knowledge of machine learning and Python. Basic AWS knowledge recommended.
Is a certificate issued after Training: Become an Amazon SageMaker Expert: Deploy and Manage AI Models in Production 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 Training: Become an Amazon SageMaker Expert: Deploy and Manage AI Models in Production 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.
Your professional training, anywhere

Let's build your Become an Amazon SageMaker Expert learning path.

30 minutes with a learning advisor. No commitment. No sales pitch dressed up as a demo.

Reply within 24h · Vetted experts · USD invoicing · W-9 available
On-site & remote

Become an Amazon SageMaker Expert training in your city

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

Share in 2 clicks