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 and data engineering tools.
- Effectively prepare for the MLA-C01 certification exam with proven strategies.
- Configure and implement end-to-end Machine Learning pipelines on AWS.
- Deploy and optimize ML models in production with high scalability.
- Validate your professional skills through the AWS Machine Learning Engineer Associate certification.
- Analyze and solve real-world Machine Learning cases on the AWS platform.
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 an exploding cloud market where 75% of ML job postings require AWS validation.
Certified salaries jump 25-35% (average 85k€/an vs 65k€ without), according to LinkedIn and AWS reports 2025.
Lose promotions to certified competitors, miss strategic projects at major accounts (SNCF, BNP), and watch your resume get ignored by ATS recruiters.
In 3 days, avoid obsolescence: invest 3300€ for a x10 career return, or fall behind in generative AI.
Program
Module 1Fundamentals of Machine Learning on AWS: SageMaker services, data preparation (tools, services, labs)
Discover the basics of Machine Learning on AWS through SageMaker, EMR, and storage services like S3. Dive into practical labs on the AWS console to clean and prepare real datasets, explore supervised/unsupervised algorithms, and configure your first notebooks. This immersive day (7h) equips you with essential skills for effective modeling on the AWS cloud platform, featuring hands-on exercises and real-world industry use cases.
Module 2ML Pipelines and Deployment on AWS: SageMaker Pipelines, endpoints, monitoring (tools, services, labs)
Dive deep into building automated pipelines with SageMaker Pipelines, feature store, and distributed training. Through intensive AWS console labs, deploy models to serverless endpoints, integrate Ground Truth for annotation, and configure monitoring with CloudWatch. Explore real-world hyperparameter optimization and MLOps cases for rapid, scalable production deployment (7h), strengthening your certifiable MLA-C01 professional skills.
Module 3Intensive MLA-C01 Exam Preparation: Practice questions, review, strategies (tools, services, labs)
Certification-focused day: targeted review of exam domains, timed practice multiple-choice questions identical to the MLA-C01 exam, and mastery of common pitfalls. Simulate the real exam with 150+ questions, review key services (SageMaker, Bedrock), and adopt proven strategies to pass on the first attempt. Conclude with final labs and a personalized action plan to validate your AWS Machine Learning Engineer Associate certification (7h).
Evaluation method
- Continuous assessment via interactive quizzes and practical labs on the AWS console.
- MLA-C01 exam simulations with practice multiple-choice questions and personalized feedback.
- Final project: deployment of a complete ML pipeline evaluated by our experts.
Learning method
- Active pedagogical methods: 70% hands-on with real AWS labs.
- Real-world case studies from leading AI and cloud companies.
- Individualized support in small groups (max 10 participants) for optimal learning.
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), fundamental Machine Learning concepts, Python programming, and AWS console usage.
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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