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Training AWS Machine Learning Engineer Associate MLA-C01 - Get Your Certification in 3 Days July 2026
Trusted by — schools, companies and industrial groups
Every program built with a dedicated engineer
Learning objectives
- Master AWS services for machine learning to design high-performance ML pipelines
- Effectively prepare for the MLA-C01 exam with targeted strategies and practice questions
- Validate professional skills by deploying ML models on AWS
- Configure and optimize secure ML environments in the AWS console
- Implement scalable ML solutions that address real-world business use cases
- Deploy models with SageMaker and automate MLOps workflows
- Optimize costs and performance of ML projects on AWS
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 and Core Services (SageMaker, S3, IAM, Hands-on Labs)
Discover the fundamentals of machine learning on AWS through console-based labs. You will learn to configure secure environments, use SageMaker to create notebooks, and import real datasets. Practical exercises will help you master key services and understand how AWS facilitates enterprise ML model development.
Module 2AWS Theme: Developing and Deploying ML Models with SageMaker and MLOps (Pipelines, Monitoring, Advanced Labs)
Dive into advanced model development with SageMaker. You will set up complete ML pipelines, optimize hyperparameters, and deploy models to production. Real-world business cases will illustrate MLOps best practices, with hands-on exercises on the AWS console to automate and monitor your workflows.
Module 3AWS Theme: Intensive MLA-C01 Exam Preparation and Certification (Practice Quizzes, Strategic Reviews, Final Labs)
Dedicate this day to intensive MLA-C01 exam preparation. You will complete corrected practice quizzes, review key program topics, and apply effective exam strategies. Hands-on labs and simulations will help validate your knowledge and approach the AWS Machine Learning Engineer Associate certification with confidence.
Evaluation method
- Practice quizzes and MLA-C01 mock exams
- Evaluated hands-on labs on the AWS console
- Real-world scenarios with instructor feedback
Learning method
- Intensive in-person training with 70% practical exercises
- Access to the AWS console during labs
- Course materials and MLA-C01 resources provided
Methods, materials and delivery
The Training AWS Machine Learning Engineer Associate MLA-C01 - Get Your Certification in 3 Days July 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 July 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 July 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 July 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 July 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 Certified Cloud Practitioner or equivalent) and fundamental concepts in machine learning. Practical experience with Python and AWS services is recommended.
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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