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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 Google AI Studio - Complete Course for Data Professionals 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 Google AI Studio - Complete Course for Data Professionals 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 Google AI Studio - Complete Course for Data Professionals 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.
Discovery of the Google AI Studio interface, navigation in the environment, presentation of integrated tools, project organization, workspace setup. Use case: exploration of key features for data management and launching AI workflows.
Importing, cleaning, and structuring datasets. Advanced exploration with Google AI Studio Data Explorer. Preparing variables for modeling: categorization, encoding, handling missing values, managing large datasets. Automating steps with AI Studio Pipelines.
Creating models with integrated notebooks, integrating external frameworks (TensorFlow, scikit-learn, AutoML, etc.), designing training experiments. Validation, testing, interpretability of results. Deploying models online via Google AI Studio, securing endpoints, managing REST API.
Building automated pipelines for training and inference. Integration with Google Cloud and its tools: BigQuery, Vertex AI, Cloud Storage, etc. Version management, metrics tracking, team collaboration via sharing notebooks and resources. Access control and permissions management.
Optimizing resource usage (CPU, GPU), monitoring costs, and best practices. Securing data flows and GDPR compliance. Case studies: full development of an AI project from import to delivery. Discussion on trends, AI evolution, and Google AI Studio updates.
Target audience
Data professionals, data analysts, data scientists, digital project managers, artificial intelligence specialists
Prerequisites
Good knowledge of data science or AI fundamentals, regular practice of a programming language (Python recommended)
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