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 June 2026
Trusted by — schools, companies and industrial groups
Every program built with a dedicated engineer
Learning objectives
- Master key AWS services for machine learning to design high-performance solutions.
- Effectively prepare for the MLA-C01 exam with tailored strategies and targeted practice questions.
- Validate your professional machine learning skills on AWS through the official certification.
- Configure and deploy ML models on Amazon SageMaker with hands-on labs.
- Implement automated data and training pipelines for real-world business use cases.
- Optimize costs and performance of ML workloads on AWS infrastructure.
- Deploy secure and scalable ML solutions in production.
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 losing competitiveness in a market where more than 65% of ML engineering job postings require a recognized cloud certification.
Certified professionals see an average salary increase of 25 to 35% and reach senior positions faster.
Failing to master AWS ML services exposes you to project delays, loss of credibility with clients, and skill obsolescence against international competition.
In 2025, companies heavily favor certified profiles to reduce ML deployment risks.
Program
Module 1AWS Theme: Machine Learning Fundamentals and Data Services (SageMaker, S3, Glue)
This first day immerses you in the AWS ecosystem for machine learning. You will learn how to set up work environments with SageMaker and store and prepare datasets using S3 and Glue. Through hands-on labs on the AWS console and real business cases, you will learn to import, clean, and transform data for concrete ML projects while following best practices for security and governance.
Module 2AWS Theme: Model Training, Optimization, and Deployment (SageMaker, Lambda, API Gateway)
The second day focuses on training and deploying ML models. You will explore SageMaker's built-in algorithms, hyperparameter optimization, and production deployment via endpoints. Hands-on exercises on the AWS console and business scenarios will enable you to implement complete pipelines, automate workflows, and integrate your models into real applications.
Module 3AWS Theme: Intensive MLA-C01 Exam Preparation (Practice Quizzes, Reviews, Strategies)
The final day is entirely dedicated to achieving your certification. You will benefit from intensive MLA-C01 exam preparation with realistic practice quizzes, targeted reviews on key domains, and proven exam strategies. Coaching sessions will help you identify weak areas, manage time effectively, and maximize your chances of success on exam day.
Evaluation method
- Practice quizzes and MLA-C01 mock exams
- Evaluated hands-on labs on the AWS console
- Real-world business case scenarios
Learning method
- Access to the AWS labs platform for 30 days
- Course materials and MLA-C01 resources
- Post-training Q&A sessions
Methods, materials and delivery
The Training AWS Machine Learning Engineer Associate MLA-C01 - Obtain 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 - Obtain 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 - Obtain 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 - Obtain Your Certification in 3 Days June 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 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 or Solutions Architect Associate certification) and fundamental concepts in machine learning and Python.
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
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