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Training AWS Machine Learning Engineer Associate MLA-C01 - Obtain Your Certification in 3 Days April 2026

Ref: LMI704
10 people max.
From $3,675 HT / per person
On-site on request · +$540 with certification exam
3 days
Remote

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Microsoft
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Learning objectives

  • Master essential AWS services for Machine Learning such as SageMaker and its data preparation tools.
  • Effectively prepare for the MLA-C01 certification exam with proven strategies.
  • Configure and train ML models on the AWS platform through practical labs.
  • Validate your professional skills to obtain the AWS Machine Learning Engineer Associate certification.
  • Implement end-to-end ML pipelines, from data to deployment.
  • Optimize ML model performance and monitor in production on AWS.
  • Deploy scalable ML solutions ready for real business cases.
A child walking to school with a backpack
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 missing 70% of ML cloud job offers, according to LinkedIn 2025 studies, where 85% of senior positions require an AWS cert.

  • Your salary stagnates: certified professionals earn 25% more on average (source: Global Knowledge), meaning 15-20k€ lost annually.

  • In a competitive market, you fall behind certified architects and DevOps who access strategic roles at AWS partners.

  • Avoid obsolescence: in 3 days, secure your lead and avoid the 12% rise in tech unemployment for non-certified ML professionals.

Allan BUSI
Allan BUSI

Learni trainer · AI expert

73%productivity gap
×3cost of inaction

Program

Module 1AWS Machine Learning Fundamentals: SageMaker, Data Preparation (Glue, Athena, Practical Labs)

Discover the basics of ML on AWS with SageMaker as the central platform. Explore data preparation tools like AWS Glue for ETL and Athena for SQL queries on S3. Participate in practical labs on the AWS console to ingest, clean, and transform real datasets, applying feature engineering techniques. These concrete exercises prepare you for immediate professional use cases.

Module 2AWS ML Modeling and Pipelines: Training, Hyperparameter Tuning (SageMaker Studio, Pipelines, Advanced Labs)

Dive into model training with SageMaker Studio, using built-in and custom algorithms. Implement automated pipelines for distributed training and hyperparameter tuning via automated jobs. Hands-on labs on AWS console simulate real enterprise scenarios, such as churn prediction or image classification, to master the complete ML lifecycle.

Module 3Deployment, Monitoring, and Intensive MLA-C01 Exam Preparation (Endpoints, CloudWatch, Practice Quizzes, Strategies)

Learn to deploy models in serverless endpoints with SageMaker and monitor via CloudWatch and Model Monitor. Optimize for production with auto-scaling. Conclude with intensive MLA-C01 exam preparation: timed practice quizzes, review of key concepts, and exam strategies to maximize your score. Final labs consolidate everything for successful certification.

Evaluation method

  • Interactive quizzes at the end of each day to validate learning
  • Graded practical labs on AWS console with immediate feedback
  • Full MLA-C01 practice exam on day 3 to simulate real conditions
  • Personalized final evaluation to identify areas for improvement

Learning method

  • Intensive practical labs on AWS console with real datasets
  • Real-world case studies inspired by enterprise projects
  • Targeted certification preparation via multiple-choice questions and exam simulations
  • Interactive pedagogical approach in small groups (max 10 participants)

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.

Step 1

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.
Step 2

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.
Step 3

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.
Step 4

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.

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 or equivalent), Python programming basics, and Machine Learning fundamentals. Access to a free AWS account for 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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