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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 - Get your certification in 3 days June 2026
Trusted by — schools, companies and industrial groups
Every program built with a dedicated engineer
Learning objectives
- Master AWS services to design high-performance machine learning solutions
- Effectively prepare for the MLA-C01 exam with proven strategies
- Validate your professional skills with the official AWS certification
- Configure and deploy ML models using AWS SageMaker in real-world environments
- Implement data pipelines and optimize model performance on AWS
- Optimize costs and scalability of ML solutions while preparing for the exam
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 Theme: Introduction to Machine Learning on AWS (SageMaker, ML services, labs)
Dive into the fundamentals of machine learning with AWS. This intensive day allows you to explore key services such as SageMaker, S3 and IAM through hands-on labs on the AWS console. You will learn to configure ML environments, manipulate real datasets and understand cloud architectures suited to professional projects. Concrete exercises will help you build the solid foundations needed to pass your MLA-C01 certification.
Module 2AWS Theme: Advanced modeling and deployment (SageMaker, Lambda, pipelines, labs)
Deepen the creation and deployment of complex ML models on AWS. The program includes hyperparameter optimization, pipeline automation with Step Functions and serverless integration via Lambda. Each concept is illustrated with AWS console labs and real-world business use cases. You will develop skills directly applicable in the workplace while strengthening your knowledge for the MLA-C01 exam.
Module 3AWS Theme: Intensive MLA-C01 exam preparation (practice tests, review, strategies)
Dedicate this final day to intensive preparation for the MLA-C01 exam. You will take several timed practice tests, review key topics and learn effective exam strategies. Personalized feedback on your performance will help you fill any gaps. This targeted session maximizes your chances of passing the AWS certification while consolidating your professional machine learning skills.
Evaluation method
- MLA-C01 practice tests throughout the training
- Evaluated hands-on labs on the AWS console
- Final practice exam with detailed correction
Learning method
- Learning by doing with real AWS labs
- Real-world business case studies
- Interactive reviews and personalized coaching
Methods, materials and delivery
The Training AWS Machine Learning Engineer Associate MLA-C01 - Get your certification in 3 days June 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 - Get your certification in 3 days June 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 - Get your certification in 3 days June 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 - Get your certification in 3 days June 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 - Get your certification in 3 days June 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 (ideally AWS Cloud Practitioner certification) and fundamental concepts in machine 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.
On-site & remote
This training across cities
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