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.
← Back
Training AWS Machine Learning Engineer Associate MLA-C01 - Get Your Certification in 3 Days April 2026
Trusted by — schools, companies and industrial groups
Every program built with a dedicated engineer
Learning objectives
- Master the fundamental concepts of machine learning on AWS to develop certified professional skills.
- Effectively prepare for the AWS MLA-C01 certification exam with proven strategies.
- Configure and implement ML data pipelines using SageMaker and EMR.
- Deploy and optimize ML models in production on AWS.
- Validate your skills through practical labs to pass the MLA-C01 exam.
- Integrate AWS best practices for scalable and secure ML solutions.
- Obtain the AWS Machine Learning Engineer Associate certification in minimum time.
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 Machine Learning Fundamentals: SageMaker Studio, data preparation (S3, Glue, EMR) with console labs
Discover the basics of machine learning on AWS through SageMaker Studio for an integrated environment. Dive into data preparation with S3 for storage, Glue for ETL, and EMR for big data processing. Perform practical labs on the AWS console to clean and transform real datasets, applying techniques like feature engineering. This immersive pedagogical approach allows you to quickly master ML data flows, essential for the MLA-C01 exam and your professional projects. (62 words)
Module 2Model Development and Training: SageMaker Pipelines, built-in algorithms (XGBoost, Deep Learning) with advanced exercises
Advance to model training with SageMaker Pipelines to automate end-to-end workflows. Explore built-in algorithms like XGBoost for classification and TensorFlow/PyTorch containers for deep learning. Perform practical exercises on the AWS console, hyperparameter tuning and evaluating models on real business cases. Learn to scale training with Spot Instances, strengthening your skills for production-ready deployments and optimal MLA-C01 certification preparation. (78 words)
Module 3ML Deployment, Monitoring, and Optimization: SageMaker Endpoints, Model Monitor, Clarify with intensive exam preparation
Finalize with model deployment via SageMaker Endpoints for scalable and secure inference. Implement Model Monitor to detect drifts and Clarify for explainability. Solve real-world cost/performance optimization cases. Conclude with intensive MLA-C01 exam preparation: timed practice multiple-choice questions, targeted review of domains (Data Engineering 20%, Modeling 36%, etc.), and exam strategies (time management, common pitfalls). Final labs consolidate your skills for guaranteed success. (85 words)
Evaluation method
- Continuous assessment via interactive quizzes and immediate feedback on AWS labs.
- MLA-C01 exam simulations with practice multiple-choice questions (150+ questions) on day 3.
- Final project: deployment of a complete ML pipeline evaluated by certified trainer.
Learning method
- 70% hands-on pedagogy: 15h of labs on live AWS console.
- Live remote sessions with screen sharing and breakout rooms for collaborative exercises.
- Post-training resources: video replays, slides, exam voucher, and alumni community.
Methods, materials and delivery
The Training AWS Machine Learning Engineer Associate MLA-C01 - Get 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 - Get 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 - Get 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.
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.
Suggestions
You might
like these too.
Data EngineeringIndustry-certifiedTraining Redshift Advanced - Optimize Performance and Scaling
$2,940Net of tax
IA générative & LLMIndustry-certifiedMistral AI Training - Deploy Open-Source AI in Production
$2,940Net of tax
IA générative & LLMIndustry-certifiedTraining Stable Diffusion - Create Professional AI Images in 5 Days
$5,775Net of tax
Amazon Web ServicesIndustry-certifiedTraining AWS Lambda - Optimize Advanced Serverless Functions
$1,470Net of tax
Machine learning
More programs in Machine learning.
Machine learningIndustry-certifiedAWS Machine Learning Specialty MLS-C01 Training - Obtain Your Certification in 3 Days April 2026
$3,675Net of tax
Machine learningIndustry-certifiedAdvanced NATS Training - Master JetStream and Clustering
$5,775Net of tax
Machine learningIndustry-certifiedAdvanced Redis Training - Master Clustering and Performance
$3,675Net of tax
Machine learningIndustry-certifiedAdvanced Redis Training - Optimize Redis Cache and Clustering
$3,675Net of tax
Machine learningIndustry-certifiedAdvanced scikit-learn Training - Optimize ML Models in Production
$3,675Net of tax
Machine learningIndustry-certifiedAdvanced scikit-learn Training - Optimize Professional ML Pipelines
$1,470Net of tax
Amazon Web Services
More programs in Amazon Web Services.
Amazon Web ServicesIndustry-certifiedAWS Auto Scaling : Maîtriser la gestion dynamique des ressources Cloud
$3,675Net of tax
Amazon Web ServicesIndustry-certifiedAWS Auto Scaling : Maîtriser l’élasticité du Cloud pour optimiser ses ressources AWS
$2,940Net of tax
Amazon Web ServicesIndustry-certifiedAWS CLI : Maîtrisez l’Interface en Ligne de Commande Amazon Web Services
$3,675Net of tax
Amazon Web ServicesIndustry-certifiedAWS CLI Training - Automating Advanced Cloud Tasks
$2,940Net of tax
Amazon Web ServicesIndustry-certifiedAWS Database Specialty DBS-C01 Training - Obtain Your Certification in 3 Days, May 2026
$3,675Net of tax
Amazon Web ServicesIndustry-certifiedAWS Expert Training - Scalable Secure Cloud Architectures
$4,620Net of tax
IA générative & LLM
More programs in IA générative & LLM.
IA générative & LLMIndustry-certifiedFormation Anthropic Claude API - Intégrer l'IA avancée en production
$1,470Net of tax
IA générative & LLMIndustry-certifiedMaîtriser Cursor Code Editor AI : Boostez votre Productivité en Développement avec l’Intelligence Artificielle
$3,675Net of tax
IA générative & LLMIndustry-certifiedAccélérer vos modèles d’Intelligence Artificielle avec OpenVINO : de l’optimisation à la mise en production
$3,675Net of tax
IA générative & LLMIndustry-certifiedAdvanced Claude API Training - Integrate AI in Optimized Production
$4,620Net of tax
IA générative & LLMIndustry-certifiedAdvanced Gemini API Training - Integrate Google's Generative AI
$5,775Net of tax
IA générative & LLMIndustry-certifiedAdvanced Hugging Face Training - Deploy High-Performance AI
$2,940Net of tax
Deep learning
More programs in Deep learning.
Deep learningIndustry-certifiedAdvanced Keras Training - Deploy Powerful Models
$1,470Net of tax
Deep learningIndustry-certifiedAdvanced PyTorch Training - Master Professional Deep Learning
$5,775Net of tax
Deep learningIndustry-certifiedAdvanced PyTorch Training - Optimize Deep Learning Models
$1,470Net of tax
Deep learningIndustry-certifiedAdvanced TensorFlow Training - Deploy High-Performance AI Models
$1,470Net of tax
Deep learningIndustry-certifiedAdvanced TensorFlow Training - Deploy Scalable and Optimized AI Models
$5,775Net of tax
Deep learningIndustry-certifiedAdvanced TensorFlow Training - Optimize Deep Learning Models
$5,775Net of tax
FAQ
Frequently asked questions
How much does the Training AWS Machine Learning Engineer Associate MLA-C01 - Get Your Certification in 3 Days April 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 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 knowledge of machine learning, Python programming, and AWS fundamentals (S3, EC2, Lambda). AWS Certified Cloud Practitioner or equivalent strongly recommended for optimal assimilation.
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
Available on-site and remotely. Pick your city to see the local training center.
Your professional training, anywhere
Let's build
your next
program.
30 minutes with a learning advisor. No commitment. No sales pitch dressed up as a demo.
Reply within 24h · Vetted experts · USD invoicing · W-9 available