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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 Mastering Cloud AI Platform: Deploying and Managing Machine Learning Models in the Cloud 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 Mastering Cloud AI Platform: Deploying and Managing Machine Learning Models in the Cloud 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 Mastering Cloud AI Platform: Deploying and Managing Machine Learning Models in the Cloud 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 Cloud AI Platform, interface exploration, comparison with other cloud solutions, project management on Google Cloud, storage and preparation of datasets (BigQuery, Cloud Storage), best practices for data organization, automation of preparation processes with Dataflow or Dataprep.
Use of AI Platform for environment deployment, management of training jobs, cluster configuration (CPU/GPU/TPU), model version management, training monitoring, use of managed notebooks, cloud budget management.
Model deployment to production (Endpoints & APIs), lifecycle management, advanced versioning, supervision & logs, real-time monitoring (Cloud Monitoring / Stackdriver), scalability management (auto-scaling), permissions and security management, audit, maintenance best practices, automation with native cloud CI/CD.
Target audience
Engineers, Data Scientists and developers wishing to industrialize and deploy AI models at scale
Prerequisites
Machine Learning basics and good understanding of cloud computing
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