Loading...
Please wait a moment
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.
Which format do you prefer?
30 free minutes with a training advisor — no commitment.
Loading available slots...
Artificial Intelligence training in Cardiff in May 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Explore Learni's cutting-edge data visualization courses launching in April 2026, featuring AI-driven tools, VR simulations, and real-world projects for professionals.
Discover effective strategies to prepare your remote team for cybersecurity challenges in April 2026, including training methods, key topics, and emerging threats for a secure hybrid workforce.
Discover essential training programs and trends in product roadmap planning for product managers targeting April 2026. Build skills for strategic success in dynamic markets.
The Training: Become an Amazon SageMaker Expert: Deploy and Manage AI Models in Production 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: Become an Amazon SageMaker Expert: Deploy and Manage AI Models in Production 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: Become an Amazon SageMaker Expert: Deploy and Manage AI Models in Production 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.
Presentation of AWS and the SageMaker suite, fundamental AI concepts on AWS, creation of notebook instances, environment management, IAM roles and security, first dataset explorations on SageMaker. Practical exercises: interface discovery, data imports, and manipulation via SageMaker Studio.
Complete ML workflow: dataset preparation, selection of native and custom algorithms, distributed training, hyperparameter tuning, endpoint creation and deployment. Pipeline integration for versioning and repeatability. Hands-on practice: training on real cases (tabular data, images, or text), job monitoring, error handling.
Workflow industrialization: automated pipelines, CI/CD with SageMaker Pipelines, data flow security, drift monitoring, multi-model endpoints, cost management, logs and metrics, integration with other AWS services (S3, Lambda, CloudWatch). Final workshop: full model deployment, performance monitoring, and maintenance automation.
Target audience
Data scientists, AI engineers, developers, and technical project managers wishing to industrialize machine learning on AWS cloud
Prerequisites
Good knowledge of machine learning and Python. Basic AWS knowledge recommended.
Loading...
Please wait a moment





























