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Training AWS Machine Learning Specialty MLS-C01 - Certification in 3 Days

Ref: HOM904
10 people max.
From $3,675 HT / per person
On-site on request · +$540 with certification exam
3 days
Remote

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Equans
EDF
Ubisoft
Microsoft
Aptar
ArcelorMittal
Equans
EDF
Ubisoft
Microsoft
Aptar
ArcelorMittal
Equans
EDF
Ubisoft
Microsoft
Aptar
ArcelorMittal
Equans
EDF
Ubisoft
Microsoft
Aptar
ArcelorMittal
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Learning objectives

  • Master key AWS services for Machine Learning such as SageMaker, Rekognition, and Comprehend to implement scalable solutions.
  • Effectively prepare for and pass the MLS-C01 certification exam with proven strategies.
  • Configure data environments and end-to-end ML pipelines on the AWS console.
  • Implement and deploy Machine Learning models in production with cost and performance optimization.
  • Validate your professional skills through the AWS Machine Learning Specialty certification.
  • Optimize ML workflows for real business cases using advanced AWS tools.
  • Deploy secure and compliant ML solutions following AWS best practices.
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

  • Failing to earn the AWS Machine Learning Specialty MLS-C01 certification in April 2026 could cost you dearly: 75% of cloud Machine Learning job postings require an AWS certification (source: LinkedIn 2024), and certified professionals earn 28% higher salaries on average (Global Knowledge study).

  • Without it, you risk missing out on 80% of senior roles at AWS partners like Capgemini or Deloitte, where demand is surging (+45% in 2025).

  • Your competitiveness drops against 500 000 AWS-certified pros worldwide.

  • Will you stay stuck in junior roles or take this accelerated training to secure promotions, innovative projects, and boosted earnings starting in 2026?

  • The market does not forgive inaction!

Allan BUSI
Allan BUSI

Learni trainer · AI expert

73%productivity gap
×3cost of inaction

Program

Module 1Machine Learning Fundamentals on AWS: SageMaker, Rekognition, Comprehend (hands-on labs on console)

Discover the pillars of AWS Machine Learning through an immersive learning experience. Explore SageMaker to build, train, and deploy ML models without heavy infrastructure. Practice hands-on labs on Rekognition for computer vision and Comprehend for NLP, using real datasets. Apply these services to concrete business cases like object detection or sentiment analysis, with interactive exercises on the AWS console to solidify your skills from day one (7 hours).

Module 2Data Engineering and Advanced Modeling: SageMaker Pipelines, Feature Store, Hyperparameter Tuning (advanced exercises)

Dive into ML data engineering with automated SageMaker Processing and Ground Truth pipelines for labeling. Master the Feature Store for centralized feature management, and optimize your models via Autopilot and hyperparameter tuning. Perform practical labs on real enterprise scenarios, such as churn prediction or personalized recommendations, directly on the AWS console. These exercises strengthen your skills in scalability and efficiency, preparing for production deployments (7 hours).

Module 3Intensive MLS-C01 Exam Preparation: Practice QCMs, Targeted Review, Exam Strategies (full simulations)

Decisive day dedicated to your certification success: exhaustive review of MLS-C01 domains (data engineering 20%, modeling 36%, exploratory 16%, ML implementation 22%, etc.). Tackle over 150 timed practice QCMs identical to the real exam, with immediate corrections and tips. Analyze common pitfalls, review critical AWS architectures, and simulate the full exam. Benefit from personalized coaching to boost your score, with focus on labs and advanced use cases (7 hours, 21 hours total).

Evaluation method

  • Continuous assessment through practical labs and exercises on the AWS console graded by the expert trainer.
  • MLS-C01 exam simulations with practice QCMs (score >80% for validation).
  • Daily interactive quizzes and real case studies to measure skill acquisition.
  • Qualiopi training certificate issued at the end, paving the way for the AWS certification.

Learning method

  • 70% hands-on methodology: practical labs on a dedicated AWS account with real datasets and authentic tools.
  • Active pedagogical approach: collaborative remote workshops with immediate feedback via Zoom/Teams.
  • Digital resources: session replays, annotated slides, AWS console access post-training (1 month).

Methods, materials and delivery

The Training AWS Machine Learning Specialty MLS-C01 - Certification in 3 Days 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 - Certification in 3 Days 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 - Certification in 3 Days 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 AWS Machine Learning Specialty MLS-C01 - Certification in 3 Days training cost?+
The price is $3,675 (USD) per participant. A detailed quote is sent within one business day.
How long is the Training AWS Machine Learning Specialty MLS-C01 - Certification in 3 Days training?+
The training lasts 3 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?+
AWS Certified Cloud Practitioner or AWS Certified Solutions Architect - Associate certification strongly recommended. Solid knowledge of basic Machine Learning, Python programming, and essential AWS services (S3, EC2, Lambda). Practical experience in data science or cloud computing appreciated.
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.
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