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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 Training AWS Machine Learning Engineer Associate MLA-C01 - 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 Training AWS Machine Learning Engineer Associate MLA-C01 - 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 Training AWS Machine Learning Engineer Associate MLA-C01 - 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 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.
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.
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.
Target audience
IT professionals aiming for the AWS Machine Learning Engineer Associate (MLA-C01) certification: system administrators, cloud architects, developers, cloud engineers, and DevOps seeking to validate their Machine Learning skills on AWS to boost their career.
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.
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