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 April 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, Rekognition, and Comprehend.
- Effectively prepare for the MLA-C01 certification exam with proven strategies.
- Configure and deploy ML data pipelines on the AWS platform.
- Implement scalable machine learning models via practical labs on the AWS console.
- Validate professional skills in data engineering and MLOps on AWS.
- Optimize ML model performance for real-world business cases.
- Obtain the AWS Machine Learning Engineer Associate certification to accelerate your career progression.
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 the AWS Machine Learning Engineer Associate MLA-C01 certification, you risk stalling in your career: 75% of ML engineering job postings require an AWS certification, according to LinkedIn 2025.
Certified professionals see salaries rise 25-35% (average 85k€/an vs 65k€ without), according to Global Knowledge.
Lose opportunities at AWS partners like Capgemini or OVHcloud, where non-certified teams are shut out of strategic AI projects.
Against fierce competition (ML market growing +40%/an), you fall behind: promotions blocked, projects rejected, and skills quickly obsolete against cloud-native requirements.
Invest now to secure your professional future and avoid these irreversible losses.
Program
Module 1AWS Machine Learning Fundamentals: SageMaker and ML Services (data engineering tools, initial labs)
Discover the pillars of Machine Learning on AWS with SageMaker to create, train, and deploy models. Explore services like S3 for data storage, Glue for ETL, and EMR for big data. Participate in practical labs on the AWS console to ingest real datasets, preprocess data, and launch your first model trainings, applying feature engineering techniques adapted to concrete professional cases.
Module 2Advanced Modeling and Deployment: SageMaker Pipelines, Endpoints (inference services, MLOps labs)
Dive into advanced workflows with SageMaker Pipelines to automate training and hyperparameter tuning. Configure scalable inference endpoints using services like Lambda and ECS. Perform hands-on exercises on real business cases, implement monitoring with CloudWatch and CloudTrail, optimize costs with spot instances, and integrate custom models in TensorFlow or PyTorch for complete MLOps mastery.
Module 3Intensive MLA-C01 Exam Preparation: Practice Quizzes, Review, Exam Strategies
Dedicate this day to targeted preparation to pass the MLA-C01 exam. Review key domains with timed practice quizzes simulating the 65 real questions, analyze common errors, and master time management strategies. Complete final labs on complex AWS scenarios, review ML architectures, and receive personalized coaching to validate skills and maximize certification success on the first attempt.
Evaluation method
- Daily interactive quizzes to validate learning outcomes
- Graded practical labs on AWS console
- Full MLA-C01 exam simulation under real exam conditions
- Final project: deployment of an ML pipeline
Learning method
- 70% hands-on practice with labs on provided free AWS console
- Real-world business case studies using AWS ML
- Active, adult-adapted pedagogical methodology
- Unlimited post-training access to resources (videos, slides, quizzes)
Methods, materials and delivery
The Training AWS Machine Learning Engineer Associate MLA-C01 - Obtain Your Certification in 3 Days April 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 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 Engineer Associate MLA-C01 - Obtain Your Certification 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
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 April 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 April 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 certification), Python programming fundamentals, core machine learning concepts, statistics, and linear algebra.
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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