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- Minimum rating 4.8/5 over the last 12 sessions.
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Training AWS Machine Learning Engineer Associate MLA-C01 - Earn Your Certification in 3 Days May 2026
Trusted by — schools, companies and industrial groups
Every program built with a dedicated engineer
Learning objectives
- Master the fundamental concepts of machine learning on AWS for scalable professional applications.
- Effectively prepare for the AWS MLA-C01 certification exam with proven strategies.
- Configure and manage data pipelines with AWS Glue and SageMaker Processing.
- Implement, train, and deploy ML models using SageMaker.
- Optimize ML model performance in production on AWS.
- Validate your professional skills through obtaining the AWS Machine Learning Engineer Associate certification.
- Deploy secure, end-to-end ML solutions compliant with AWS best practices.
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: SageMaker Studio, data preprocessing (Glue, AWS console labs)
Discover the basics of machine learning on AWS through an immersion in SageMaker Studio to create interactive notebooks, and AWS Glue for large-scale data ETL. Participate in practical labs on the AWS console where you will preprocess real datasets, configure secure ML environments, and explore SageMaker's built-in algorithms. These hands-on exercises, inspired by business cases, will enable you to quickly master data workflows for scalable professional projects, with a focus on efficiency and reproducibility.
Module 2AWS ML Modeling and Deployment: Model training, SageMaker endpoints (hyperparameter tuning, advanced labs)
Dive into training ML models with SageMaker, optimizing hyperparameters via distributed jobs and deploying scalable predictive endpoints. Practical labs on the AWS console simulate real scenarios such as image classification or time series prediction, integrating Amazon S3 for storage and VPC for security. Learn to monitor performance with CloudWatch and SageMaker Model Monitor, while managing optimized costs. This day combines pedagogical theory and concrete exercises for immediate mastery of production-ready deployments.
Module 3Intensive MLA-C01 Exam Preparation: Practice QCMs, full review, passing strategies (exam simulations)
Dedicate this final day to targeted preparation for the AWS MLA-C01 exam with over 200 timed practice QCMs, an exhaustive review of key domains (data engineering 20%, modeling 36%, etc.), and infallible exam strategies to maximize your score. Realistic simulations on a dedicated platform replicate the official environment, while personalized feedback from our AWS certified experts strengthens your weaknesses. Conclude with real ML optimization cases and a post-certification action plan for immediate enterprise integration.
Evaluation method
- Interactive quizzes and practical labs evaluated in real-time each day.
- Full MLA-C01 practice exam on day 3 with detailed scoring.
- Final evaluation via end-to-end ML project on AWS console.
- Individual feedback to validate certification readiness.
Learning method
- Active pedagogical methods: 70% practice, 30% theory.
- Unlimited labs on AWS console with real datasets.
- Case studies from Fortune 500 companies using SageMaker.
- Blended approach: in-person + digital resources post-training.
Methods, materials and delivery
The Training AWS Machine Learning Engineer Associate MLA-C01 - Earn Your Certification 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 - Earn Your Certification 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 - Earn Your Certification 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 - Earn Your Certification 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 - Earn Your Certification 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?+
Basic knowledge of machine learning and Python programming, familiarity with fundamental AWS services (AWS Certified Cloud Practitioner or AWS Solutions Architect Associate certification recommended). Experience in data processing and ML modeling is an asset.
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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