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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: Discover Anthropic - Mastering the Foundations of Responsible Artificial Intelligence 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: Discover Anthropic - Mastering the Foundations of Responsible Artificial Intelligence 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: Discover Anthropic - Mastering the Foundations of Responsible Artificial Intelligence training is carried out through:
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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 Anthropic: history, founders, philosophy, and missions. Overview of the AI ecosystem. Awareness of risks from unaligned AI. First steps with Anthropic's approach to safety, ethics, and alignment of language models.
Focus on Anthropic products: Claude, Constitutional AI, and other innovations. Case studies of usage, insights into model architectures. Demonstrations and exploration of public APIs (presentation without advanced development). Analysis of methodological innovations: human feedback learning, alignment, bias mitigation.
How to integrate the Anthropic approach into your AI projects? Analysis of application examples across sectors. Modeling a responsible usage charter. Introduction to prompt auditing and drafting internal usage policies, advice for team awareness-raising. Roundtable on future prospects and Anthropic's role in the international debate.
Target audience
Professionals, researchers, educators, and anyone wishing to understand the issues of responsible AI with Anthropic
Prerequisites
No technical prerequisites. Familiarity with digital issues is a plus.
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