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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 Master Google Gemini: Leverage Next-Generation Generative AI 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 Master Google Gemini: Leverage Next-Generation Generative AI 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 Master Google Gemini: Leverage Next-Generation Generative AI 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.
Overview of generative AI, history of large models (GPT, LaMDA, Gemini), strategic positioning of Google Gemini, technological differences and key uses. Presentation of the interface and basic setup.
Concrete use cases for generating texts, images, and multimodal content. Parameterizing Gemini for sectoral needs (communication, legal, data, development). Practical exercises: prompt engineering, managing complex outputs.
Integrating Gemini via API into information systems. Demonstrations: automating document generation and semantic analysis. Focus on security, ethics, biases, and GDPR. Discussion on the future of generative AIs and preparation for Google certification.
Target audience
Data professionals, developers, AI project managers, innovation managers
Prerequisites
Foundational knowledge in artificial intelligence and understanding of language models
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