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- Triple validation: technical, pedagogical, sectoral.
- 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 essential AWS services for Machine Learning such as SageMaker, S3, and Glue.
- Effectively prepare for the MLA-C01 certification exam with proven strategies.
- Configure and deploy end-to-end ML pipelines on the AWS platform.
- Implement scalable ML models using SageMaker Studio and its advanced tools.
- Optimize performance and monitor ML applications with CloudWatch and X-Ray.
- Validate your professional skills via the AWS Machine Learning Engineer Associate certification.
- Deploy production ML solutions tailored to real business cases.
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 and ML services (S3, SageMaker, Glue, EMR) with practical labs
Discover the pillars of Machine Learning on AWS through immersion in key data services. Learn to store and process massive datasets with S3 and Glue, then launch SageMaker notebooks to explore ML algorithms. Hands-on labs on real AWS console: data ingestion, feature engineering, and first supervised/unsupervised models applied to concrete business cases to solidify skills from day one.
Module 2ML Model Development and Deployment: SageMaker Studio, pipelines, endpoints, and monitoring (CloudWatch)
Dive into the full ML model lifecycle with SageMaker Studio. Set up automated pipelines for training, hyperparameter tuning, and optimization. Deploy scalable predictive endpoints and integrate advanced monitoring via CloudWatch and Model Monitor. Practical exercises on real scenarios: image classification model deployment, cost optimization, and production error handling for immediate operational expertise.
Module 3Intensive MLA-C01 Exam Preparation: Practice quizzes, targeted review, and exam strategies
Decisive day focused on passing the AWS Machine Learning Engineer Associate MLA-C01 exam. Comprehensive review of key domains: data engineering, modeling, deployment, and troubleshooting. Intensive practice quizzes (200+ questions), analysis of common errors, and mastery of pitfalls. Exam strategies: time management, optimal scoring, and AWS tips. Final integrated lab with all services and personalized feedback to pass with confidence.
Evaluation method
- Continuous assessments via practical labs and AWS console exercises (graded in real-time).
- MLA-C01 exam simulations with timed practice multiple-choice questions and corrections.
- Daily interactive quizzes and real-world case studies to validate skill mastery.
- Qualiopi training certificate and post-training support for the official exam.
Learning method
- 70% hands-on: labs on a dedicated AWS account with no resource limits.
- Immersive learning approach with AWS-certified trainers (Architect level).
- Real case studies from Fortune 500 companies using SageMaker in production.
- Active methodology: collaborative challenges in small groups (max 10 participants).
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 AWS knowledge (recommended: AWS Certified Cloud Practitioner or AWS Certified Solutions Architect - Associate certification), fundamentals of Python, Machine Learning, and data science. Cloud development experience appreciated for optimal learning.
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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