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Training AWS Machine Learning Specialty MLS-C01 - Get your cert in 3 days May 2026

Ref: CAC710
10 people max.
$3,960 HT / per person
−15% from 2 people−30% from 3 people−50% from 5 people
Pay in 3 installments · +$300/day onsite · +$540 with certification exam
3 days
in-person

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Learning objectives

  • Master key AWS services for Machine Learning to pass the MLS-C01 exam.
  • Effectively prepare for the AWS Machine Learning Specialty certification by covering all exam domains.
  • Configure and deploy complete ML pipelines using SageMaker and associated AWS services.
  • Implement optimized ML models and deploy them to production following AWS best practices.
  • Validate professional skills through hands-on labs and MLS-C01 exam simulations.
  • Optimize costs and performance of ML solutions on AWS for real-world business use cases.

The Learni story

Founded by passionate learning and innovation experts, Learni's mission is to make professional training accessible to everyone, anywhere in the world. Our team operates in major hubs — London, New York, Boston — and internationally, to support talents and organizations in upskilling.

Don't let this gap widen

Why this program matters

  • Without this upskilling, your team accumulates a technological gap that translates directly into productivity loss.

  • Organizations that don't train their talents on key topics see their competitiveness drop.

  • Every quarter without training is a gap widening with competitors who invest.

  • The cost of inaction quickly exceeds that of well-targeted training.

Allan Busi
Allan Busi

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1AWS Theme: Foundations of Machine Learning and Data Engineering on AWS (SageMaker, S3, Glue, IAM, hands-on labs)

This first day immerses you in the AWS ecosystem for Machine Learning. You will learn how to ingest, prepare, and store data at scale using S3, Glue, and Athena. Hands-on labs on the AWS console will allow you to configure secure environments and explore initial ML pipelines. The pedagogical approach is based on real business cases to anchor the professional skills essential for the MLS-C01 certification.

Module 2AWS Theme: Advanced Modeling and Deployment with SageMaker (Notebooks, Training, Endpoints, optimization, labs)

During this intensive second day, you will learn to build, train, and optimize complex ML models using Amazon SageMaker. Practical exercises on the AWS console will guide you through hyperparameter tuning, endpoint deployment, and integration of services such as Lambda and API Gateway. Each lab is designed to replicate professional scenarios and reinforce the knowledge required to pass the MLS-C01 exam.

Module 3AWS Theme: Intensive MLS-C01 Exam Preparation (Practice exams, domain review, exam strategies)

The final day is entirely dedicated to certification. You will complete multiple timed practice exams covering all four domains of the MLS-C01 exam, followed by a detailed analysis of the answers. Targeted review sessions and exam strategies will help maximize your chances of success. This day also includes tips for managing stress and optimizing your time on exam day, with a focus on common pitfalls of the AWS certification.

Evaluation method

  • MLS-C01 practice exams
  • Assessed hands-on labs
  • End-of-module quizzes

Learning method

  • AWS console exercises
  • Real-world use cases
  • Exam simulations

Methods, materials and delivery

The Training AWS Machine Learning Specialty MLS-C01 - Get your cert in 3 days May 2026 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 AWS Machine Learning Specialty MLS-C01 - Get your cert in 3 days May 2026 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 AWS Machine Learning Specialty MLS-C01 - Get your cert in 3 days May 2026 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 eligible for corporate training budgets and employer-funded plans.

Verified reviews

What our learners

4.9 · +100 verified reviews
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
Read all reviews
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.

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