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.
1 seat held for the next session
30:00Held for another
Request a call back and an advisor reaches you within 24 business hours, Monday to Saturday.
Trusted by — schools, companies and industrial groups
Every program built with a dedicated engineer
Learning objectives
- Master essential AWS services for machine learning such as SageMaker, Glue, and Athena.
- Effectively prepare for the MLA-C01 certification exam with practice multiple-choice questions and targeted strategies.
- Validate your professional skills in ML engineering on AWS for real-world projects.
- Implement scalable data pipelines and ML models on the AWS console.
- Deploy and optimize ML solutions in production with monitoring and automatic tuning.
- Obtain the AWS Machine Learning Engineer Associate certification by maximizing your chances of success.
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
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 1AWS Machine Learning Fundamentals: Data Engineering with SageMaker, Glue, and Preprocessing Labs
Discover the basics of machine learning on AWS by exploring data engineering services like AWS Glue for ETL, Athena for queries, and SageMaker for dataset preparation. Through practical labs on the AWS console, implement real data pipelines, handle concrete feature engineering cases, and clean large datasets, while acquiring skills to scale your ML workflows professionally and efficiently.
Module 2AWS Modeling and Optimization: SageMaker Training, Hyperparameter Tuning, and Advanced Exercises
Dive into ML modeling with SageMaker to train supervised and unsupervised models, using built-in and custom algorithms. Perform hands-on labs on automatic hyperparameter tuning, feature exploration, and model selection via real use cases like prediction and classification. Optimize your ML performance on AWS for fast and scalable deployments in cloud environments.
Module 3Deployment and MLA-C01 Exam Preparation: SageMaker Endpoints, Monitoring, and Intensive Practice Questions
Master the deployment of ML models in production with SageMaker Endpoints, Model Monitor for drift detection, and autoscaling. Apply this knowledge through labs on real MLOps cases. Conclude with intensive preparation for the MLA-C01 exam: review of key domains, exam strategies, timed practice multiple-choice questions, and personalized corrections to validate your knowledge and boost your certification success rate.
Evaluation method
- Daily quizzes and practice multiple-choice questions simulating the MLA-C01 exam
- Graded practical labs on AWS console with individualized feedback
- Real-world case study evaluated at the end of the training
Learning method
- Active methods: 70% practice, 30% theory with hands-on AWS labs
- Live support via Zoom with screen sharing for collaborative exercises
- Post-training resources: video replays, AWS lab accounts, and multiple-choice question bank
Methods, materials and delivery
The Training AWS Machine Learning Engineer Associate MLA-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 Engineer Associate MLA-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 Engineer Associate MLA-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 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.
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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FAQ
Frequently asked questions
How much does the Training AWS Machine Learning Engineer Associate MLA-C01 - Get Your Cert in 3 Days May 2026 training cost?+
The individual price is $3,675 (USD). The team / on-site group package is shown on the course page. A detailed quote is sent within one business day.
How long is the Training AWS Machine Learning Engineer Associate MLA-C01 - Get Your Cert in 3 Days May 2026 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?+
Experience in Python programming, basics in machine learning and statistics, knowledge of fundamental AWS services (recommended: AWS Certified Cloud Practitioner or Solutions Architect Associate certification). Access to a free AWS account for labs.
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.
On-site & remote
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