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.
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.
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.
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 - Get Your Cert in 3 Days April 2026 program is delivered onsite or remote (blended-learning, e-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 April 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 April 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
Learni programs are available inter-company and intra-company, onsite or remote. Enrollments are possible up to 48 business hours before the program starts. Our programs are eligible for corporate funding paths. Contact us to discuss your training project and funding options.
Verified reviews
What our learners
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
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.
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.
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