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 the 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 train ML models on the AWS SageMaker platform through practical labs.
- Validate your professional skills to obtain the AWS Machine Learning Engineer Associate certification.
- Implement production ML data pipelines with AWS Glue and Kinesis.
- Optimize ML model performance and deploy scalable inferences on AWS.
- Deploy secure and compliant ML solutions following AWS best practices.
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 cert (source: LinkedIn 2024), and certified professionals earn 25% more on average (Global Knowledge study).
In a cloud market exploding at +30% positions per year, going without this validation leaves you exposed to fierce competition from 500 000+ AWS-certified pros.
You lose opportunities at AWS Partners like Capgemini or Accenture, blocked promotions, and lag in scalable ML skills.
Investing 3 days now prevents these losses: move from junior to recognized expert, secure your employability, and multiply your earnings starting in 2026!
Program
Module 1AWS Machine Learning Fundamentals: data services and feature engineering (SageMaker, S3, Glue, console labs)
Discover the basics of machine learning on AWS through an immersive introduction to key services like Amazon SageMaker for model training, S3 for scalable storage, and Glue for ETL. Participate in hands-on labs on the AWS console to manipulate real datasets, perform feature engineering, and explore real-world business cases using these tools to accelerate ML projects. A practical approach that solidifies your skills from day one.
Module 2AWS ML Modeling and Pipelines: training, tuning, and deployment (SageMaker Pipelines, Autopilot, advanced labs)
Dive into advanced modeling with SageMaker: train supervised/unsupervised models, use Hyperparameter Tuning and Autopilot for automation. Implement end-to-end pipelines via SageMaker Pipelines and integrate services like Lambda for inferences. Practical exercises on the AWS console simulate real production scenarios, such as deploying ML applications for image recognition or prediction, strengthening your technical mastery for impactful professional projects.
Module 3Intensive MLA-C01 Exam Preparation: review, practice questions, and strategies (exam simulations, AWS best practices)
Decisive day dedicated to optimal preparation for the AWS Machine Learning Engineer Associate MLA-C01 exam. Thoroughly review key domains through timed practice multiple-choice questions identical to the real exam, analyze common mistakes, and master success strategies (time management, pitfalls to avoid). Complete with review labs on the AWS console to reinforce concepts, including personalized coaching to boost your score and pass the certification with confidence.
Evaluation method
- Continuous evaluation through interactive quizzes and practical AWS labs each day.
- MLA-C01 exam simulations with practice multiple-choice questions and detailed feedback.
- Final project: deployment of a complete ML pipeline evaluated by our certified experts.
Learning method
- Interactive pedagogy 70% practical / 30% theory with real labs on the AWS console.
- Live support by AWS certified trainers (ML Specialty).
- Unlimited access to replays and post-training resources for 6 months.
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 AWS experience (recommended: AWS Certified Cloud Practitioner or Solutions Architect Associate certification), knowledge of Python programming, statistics, and machine learning algorithms. Access to a free AWS account for practical labs.
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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