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Founded by passionate advocates of learning and innovation, Learni set out to make professional training accessible to everyone, everywhere in the world. Our team works in the largest cities such as Paris, Lyon, Marseille, and internationally, to support talents and organizations in their skills development.
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The AWS Machine Learning Specialty MLS-C01 Training - Obtain Your Certification in 3 Days April 2026 training is delivered in-person or remotely (blended-learning, e-learning, virtual classroom, remote in-person). At Learni, a Qualiopi-certified training organization, each program is designed to maximize skills acquisition, regardless of the training mode chosen.
The trainer alternates between demonstrative, interrogative, and active methods (through practical exercises and/or real-world scenarios). This pedagogical approach ensures concrete and directly applicable learning in the workplace.
To ensure the quality of the AWS Machine Learning Specialty MLS-C01 Training - Obtain Your Certification in 3 Days April 2026 training, Learni provides the following teaching resources:
For in-house training at a location external to Learni, the client ensures and commits to having all necessary teaching materials (IT equipment, internet connection...) for the proper conduct of the training action in accordance with the prerequisites indicated in the communicated training program.
The assessment of skills acquired during the AWS Machine Learning Specialty MLS-C01 Training - Obtain Your Certification in 3 Days April 2026 training is carried out through:
Learni is committed to the accessibility of its professional training programs. All our training programs are accessible to people with disabilities. Our teams are available to adapt teaching methods to your specific needs. Do not hesitate to contact us for any accommodation request.
Learni training programs are available for inter-company and intra-company settings, both in-person and remote. Registration is possible up to 48 business hours before the start of training. Our programs are eligible for OPCO, Pôle emploi, and FNE-Formation funding. Contact us to discuss your training project and funding possibilities.
Discover the pillars of Machine Learning on AWS through an immersion in SageMaker for data preparation, ETL with Glue, and scalable storage via S3. Participate in practical labs on AWS console to ingest and transform real datasets, applying feature engineering techniques. These concrete exercises strengthen your data pipeline skills, laying the groundwork for high-performing ML models tailored to professional challenges.
Dive into model training with SageMaker, hyperparameter tuning, and serverless deployment via Lambda and ECR. Through real-world use cases like prediction and classification, perform hands-on labs on AWS console to deploy scalable endpoints. Optimize security and monitoring with CloudWatch, acquiring skills directly applicable for implementing ML solutions in production in your company.
Dedicate this day to targeted preparation for the MLS-C01 exam with timed practice multiple-choice questions, exhaustive review of domains (data engineering 20%, modeling 36%, exploratory 16%, ML implementation 28%). Analyze real AWS troubleshooting scenarios, refine your response strategies, and receive personalized feedback. Conclude with full simulations to approach the exam with confidence and maximize your certification chances as early as April 2026.
Target audience
IT professionals such as system administrators, cloud architects, developers, cloud engineers, and DevOps aiming to quickly obtain the AWS Machine Learning Specialty MLS-C01 certification to boost their career in cloud and machine learning.
Prerequisites
At least 1 year of experience on AWS (recommended: AWS Certified Solutions Architect - Associate or Developer - Associate certification). Basic knowledge of machine learning, Python, and statistics. Familiarity with AWS services such as EC2, S3, and Lambda.
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