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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.
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Training AWS Machine Learning Engineer Associate MLA-C01 - Get Your Certification in 3 Days, May 2026
Learning objectives
- Master essential AWS services for machine learning such as SageMaker, Glue, and Athena to acquire certified professional skills.
- Effectively prepare for the MLA-C01 certification exam with proven strategies and realistic mock exams.
- Configure and optimize ML data pipelines on AWS for scalable processing.
- Implement end-to-end machine learning models using the AWS console and practical labs.
- Validate your skills for obtaining the AWS Machine Learning Engineer Associate certification.
- Deploy ML solutions in production with a focus on AWS security and performance.
- Optimize ML workflows for real business cases, enhancing your employability.
The Learni story
Founded by passionate learning and innovation experts, Learni's mission is to make professional training accessible to everyone, anywhere in the world. Our team operates in major hubs — London, New York, Boston — and internationally, to support talents and organizations in upskilling.
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, Data, and Preprocessing (SageMaker Studio, Glue, console labs)
Discover the basics of machine learning on AWS with an immersion in SageMaker to create, train, and deploy models. Explore Glue for ETL and Athena for SQL queries on S3. Practical labs on AWS console include preprocessing real datasets, building interactive notebooks, and running first ML jobs, while covering best practices for immediate scalability. A hands-on pedagogical approach to anchor skills from day 1.
Module 2Advanced ML Pipelines and Modeling on AWS: Feature Store, Autopilot, Hyperparameter Tuning (SageMaker Experiments, real case labs)
Dive into advanced ML pipelines with SageMaker Feature Store for reusable feature management and Autopilot for model automation. Master hyperparameter tuning and ML experiments via SageMaker Experiments. Practical exercises on AWS console replicate real business cases such as churn prediction or image recognition, with serverless deployment via Lambda and API Gateway. Strengthen your skills for production-ready implementations in record time.
Module 3Intensive MLA-C01 Exam Preparation: Mock Exams, Strategic Review, Simulations (passing score strategies, final labs)
Day dedicated to passing the AWS Certified Machine Learning Engineer Associate (MLA-C01) exam with intensive preparation: targeted review of the 65 multiple-choice questions, analysis of common pitfalls, and strategies for an optimal score (750/1000). Timed exam simulations, final labs on complex AWS scenarios, and personalized coaching. All key services (SageMaker, Bedrock, IAM security) are reviewed to validate your skills and maximize your certification chances in the next session.
Evaluation method
- Mock exams and MLA-C01 exam simulations throughout the training.
- Practical evaluation via mandatory AWS labs and end-of-day projects.
- Interactive quizzes and individual feedback to measure progress.
- Qualiopi training certificate issued upon completion.
Learning method
- Active pedagogy with 70% hands-on practice on the AWS console in real-time.
- Personalized hands-on labs and real business case studies.
- Blended method: concise theory + collaborative exercises in small groups.
- Unlimited access to an e-learning platform post-training for reviews.
Methods, materials and delivery
The Training AWS Machine Learning Engineer Associate MLA-C01 - Get Your Certification in 3 Days, May 2026 program is delivered onsite or remote (blended-learning, e-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, 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 - Get 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
Learni programs are available inter-company and intra-company, onsite or remote. Enrollments are possible up to 48 business hours before the program starts. Our programs are eligible for corporate funding paths. Contact us to discuss your training project and funding options.
Verified reviews
What our learners
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
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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