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.
AWS Machine Learning Specialty MLS-C01 Training - Certification in 3 Days
Trusted by — schools, companies and industrial groups
40,869 programs · 25 countries
Every program built with a dedicated engineer
Companies: Aptar, ArcelorMittal, Equans, EDF, Ubisoft and Microsoft.
AWS Machine Learning Specialty MLS-C01 training objectives
- Master essential AWS services for Machine Learning such as SageMaker, Rekognition, and Comprehend.
- Effectively prepare for the MLS-C01 certification exam with proven strategies.
- Configure and implement scalable ML data pipelines on AWS.
- 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.
- Succeed in the MLS-C01 exam by maximizing your score on multiple-choice questions
Program
AWS Machine Learning Specialty MLS-C01 curriculum: 3 modules over 3 days
Module 1 : AWS Machine Learning Fundamentals: Core Services and Data Engineering (SageMaker, Glue, S3, Initial Labs)
Discover the pillars of Machine Learning on AWS through an immersion in SageMaker for data preparation, ETL with Glue, and scalable storage via S3. Participate in practical labs on AWS console to ingest and transform real datasets, applying feature engineering techniques. These concrete exercises strengthen your data pipeline skills, laying the groundwork for high-performing ML models tailored to professional challenges.
Module 2 : AWS ML Modeling and Deployment: Training, Tuning, and Inference (SageMaker, Lambda, ECR, Advanced Labs)
Dive into model training with SageMaker, hyperparameter tuning, and serverless deployment via Lambda and ECR. Through real-world use cases like prediction and classification, perform hands-on labs on AWS console to deploy scalable endpoints. Optimize security and monitoring with CloudWatch, acquiring skills directly applicable for implementing ML solutions in production in your company.
Module 3 : Intensive MLS-C01 Exam Preparation: Comprehensive Review, Practice Questions, and Strategies (Exam Simulations, Troubleshooting)
Dedicate this day to targeted preparation for the MLS-C01 exam with timed practice multiple-choice questions, exhaustive review of domains (data engineering 20%, modeling 36%, exploratory 16%, ML implementation 28%). Analyze real AWS troubleshooting scenarios, refine your response strategies, and receive personalized feedback. Conclude with full simulations to approach the exam with confidence and maximize your certification chances as early as April 2026.
How AWS Machine Learning Specialty MLS-C01 skills are assessed
- Daily quizzes and graded practical labs on AWS console.
- MLS-C01 practice exam on day 3 with detailed scoring.
- Continuous assessment via real-case exercises and trainer feedback.
- Qualiopi training certificate issued upon completion
How the AWS Machine Learning Specialty MLS-C01 course is taught
- 70% practical: hands-on labs on AWS console in real-time.
- 30% theory: interactive presentations and enterprise case studies.
- Blended learning methodology with remote session replays.
- Post-training Slack support for exam revisions
AWS Machine Learning Specialty MLS-C01 training: access and practical arrangements
The AWS Machine Learning Specialty MLS-C01 Training - 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 AWS Machine Learning Specialty MLS-C01 Training - 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 AWS Machine Learning Specialty MLS-C01 Training - 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.
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 AWS Machine Learning Specialty MLS-C01 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.
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.
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.
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.
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
FAQ
AWS Machine Learning Specialty MLS-C01: frequently asked questions
Which tools are used in AWS Machine Learning Specialty MLS-C01 Training training?+
Hands-on work runs on sageMaker, glue, s3, initial Labs, lambda and ECR. Those tools come from the AWS Machine Learning Specialty MLS-C01 Training program itself, delivered on site over 3 days, so participants practise on the stack they will use at work.
What can participants do after AWS Machine Learning Specialty MLS-C01 Training training?+
They can master essential AWS services for Machine Learning such as SageMaker, Rekognition, and Comprehend, effectively prepare for the MLS-C01 certification exam with proven strategies and configure and implement scalable ML data pipelines on AWS. Those are the stated objectives of the AWS Machine Learning Specialty MLS-C01 Training program at Advanced level, checked by the end-of-session assessment.
What does the AWS Machine Learning Specialty MLS-C01 Training program cover, day by day?+
Day 1: AWS Machine Learning Fundamentals: Core Services and Data Engineering (SageMaker, Glue, S3, Initial Labs). Day 2: AWS ML Modeling and Deployment: Training, Tuning, and Inference (SageMaker, Lambda, ECR, Advanced Labs). Day 3: Intensive MLS-C01 Exam Preparation: Comprehensive Review, Practice Questions, and Strategies (Exam Simulations, Troubleshooting). The AWS Machine Learning Specialty MLS-C01 Training program runs over 3 days, delivered on site.
How is AWS Machine Learning Specialty MLS-C01 Training training assessed?+
Assessment relies on daily quizzes and graded practical labs on AWS console, MLS-C01 practice exam on day 3 with detailed scoring and continuous assessment via real-case exercises and trainer feedback. Learni issues a completion certificate together with the individual assessment report at the end of the AWS Machine Learning Specialty MLS-C01 Training program, which an L&D team can file as evidence.
How much does AWS Machine Learning Specialty MLS-C01 Training training cost per participant?+
AWS Machine Learning Specialty MLS-C01 Training training costs $3,465 per participant. For an in-company team, the flat rate starts at $6,290 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 AWS Machine Learning Specialty MLS-C01 Training 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 AWS Machine Learning Specialty MLS-C01 Training 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 AWS Machine Learning Specialty MLS-C01 Training training?+
At least 1 year of experience on AWS (recommended: AWS Certified Solutions Architect - Associate or Developer - Associate certification). Basic knowledge of machine learning, Python, and statistics. Familiarity with AWS services such as EC2, S3, and Lambda.
Is a certificate issued after AWS Machine Learning Specialty MLS-C01 Training 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 AWS Machine Learning Specialty MLS-C01 Training 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 AWS Machine Learning Specialty MLS-C01 learning path.
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