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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 Vertex AI on Google Cloud: Deployment, Training and MLOps 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 Vertex AI on Google Cloud: Deployment, Training and MLOps 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 Vertex AI on Google Cloud: Deployment, Training and MLOps 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 the fundamental concepts of artificial intelligence on Google Cloud Platform. Overview of Vertex AI: architecture, key modules, advantages over AI Platform. Introduction to the interface, permission management and project configuration.
Management and import of datasets with Vertex AI Dataset, automatic annotation and dataset lifecycle management. Hands-on with GCS storage and best practices. First steps with Vertex AI Workbench notebooks and collaborative project management.
Creating training experiments with AutoML and custom models. Launching training jobs on GPU/TPU, metric tracking, hyperparameter tuning. Model deployment features: endpoints, A/B testing, scalable operations and API security. Cost and performance optimization.
Introduction to MLOps, creating automated pipelines with Vertex AI Pipelines (Kubeflow). Model definition and versioning, experiment management, CI/CD for ML models. Security concepts and advanced monitoring (logs, alerting, automated retraining).
Supervision of endpoint usage and performance; production model monitoring (drift, bias, latency). Automated retraining strategies, compliance management and data governance. Practical cases: end-to-end deployment, lessons learned and operational optimizations.
Target audience
Data engineers, data scientists, AI project managers, cloud architects wishing to industrialize and automate their artificial intelligence projects on Google Cloud
Prerequisites
Machine learning basics, knowledge of Google Cloud tools recommended
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