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.
Training AWS Machine Learning Engineer Associate MLA-C01 - Obtain Your Certification in 3 Days, May 2026
Trusted by — schools, companies and industrial groups
Every program built with a dedicated engineer
Learning objectives
- Master key AWS services for Machine Learning such as SageMaker, Glue, and Lambda to implement scalable solutions.
- Effectively prepare for the MLA-C01 certification exam with proven strategies and realistic mock exams.
- Configure and deploy ML data pipelines on AWS for professional end-to-end workflows.
- Implement optimized machine learning models through practical labs on the AWS console.
- Validate your professional AWS ML engineering skills recognized by the global industry.
- Optimize performance and security of ML applications on AWS for production-ready deployments.
- Pass the AWS Machine Learning Engineer Associate certification in just 3 intensive days.
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
Failing to earn the AWS Machine Learning Engineer Associate (MLA-C01) certification in 2026 exposes you to serious professional risks.
According to IDC, AWS-certified professionals earn 25% higher salaries on average (up to 15k€/an), while 75% of ML engineering job postings on LinkedIn require an AWS certification.
Without it, you lose competitiveness against 500k+ certified professionals worldwide, miss internal promotions, and forfeit opportunities at Big Tech and ETI firms (Amazon, Capgemini).
The ML market is exploding (+40% postes/an), yet non-certified professionals stagnate: no access to senior roles paying 70-90k€, technological lag, and resumes ignored by ATS recruiters.
Invest 3 days now or face years of salary stagnation and imminent technical unemployment.
Program
Module 1AWS Machine Learning Fundamentals: SageMaker Studio, Data Services, and Initial Labs (Glue, S3, Athena)
Discover the basics of Machine Learning on AWS through an educational immersion in SageMaker to create your first notebooks and explore datasets with Glue and Athena. Perform practical labs on the AWS console to ingest, transform, and visualize real data, applying essential preprocessing techniques. Our experts guide each step to solidify your fundamental skills in a single dynamic day, with concrete cases inspired by industrial projects.
Module 2AWS ML Modeling and Deployment: Model Training, Hyperparameters, and Pipelines (SageMaker Pipelines, Endpoints)
Dive into model training and tuning with SageMaker: configure distributed jobs, optimize hyperparameters via Automatic Model Tuning, and deploy scalable endpoints. Hands-on labs on the AWS console simulate real scenarios like churn prediction or image classification, integrating Lambda for inference. Learn to orchestrate end-to-end pipelines with SageMaker Pipelines, boosting your expertise for production-ready ML applications in enterprise.
Module 3Intensive MLA-C01 Exam Preparation: Mock Exams, Full Review, and Success Strategies
Decisive day dedicated to certification: review all MLA-C01 exam domains via timed mock exams identical to the real AWS test, with detailed answers and tips. Strengthen weaknesses through targeted exercises on the AWS console, analyze common pitfalls, and master exam strategies (time management, scoring). End with a full simulation and a personalized plan to validate your certification in the next session, with >90% success rate among our alumni.
Evaluation method
- Continuous evaluation through practical labs and exercises on the AWS console each day.
- Mock exams and MLA-C01 exam simulations on day 3 to measure readiness.
- Interactive quizzes and personalized feedback from AWS certified trainers.
- Qualiopi training certificate and recommendations for the official exam.
Learning method
- 70/20/10 method: 70% practical AWS labs, 20% real cases, 10% theory.
- Unlimited access to the AWS console during training and 30 days post-training.
- Session replay videos and e-learning resources for independent review.
- Group limited to 10 participants for optimal individualized follow-up.
Methods, materials and delivery
The Training AWS Machine Learning Engineer Associate MLA-C01 - Obtain 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 - Obtain 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 - Obtain 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 - Obtain Your Certification in 3 Days, May 2026 training cost?+
The price is $3,675 (USD) per participant. A detailed quote is sent within one business day.
How long is the Training AWS Machine Learning Engineer Associate MLA-C01 - Obtain 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 AWS cloud (recommended: AWS Cloud Practitioner or SAA-C03 certification), intermediate Python programming, and fundamental Machine Learning concepts (supervised/unsupervised algorithms, data preprocessing).
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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