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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: Master DeepSeek - Harness the Power of Generative AI for Your Business 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: Master DeepSeek - Harness the Power of Generative AI for Your Business 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: Master DeepSeek - Harness the Power of Generative AI for Your Business 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.
Overview of generative AI, positioning of DeepSeek, presentation of available models, capabilities and limitations. Setting up a working environment: installation, initial configuration, first experiments. Case study: using DeepSeek for text generation.
Developing advanced prompts, adapting DeepSeek models for specific needs (summarization, question-answering, intelligent analysis). Using DeepSeek via command line, REST API, and integration into a Python application. Concrete examples: automating reports, generating custom scripts, large-scale document analysis.
Optimizing DeepSeek performance, adjusting parameters (temperature, tokens, output ranges), model update mechanisms. Security, reliability, and management of confidential data. Best practices for monitoring outputs and detecting biases. Deploying DeepSeek in a professional environment (on-premise, cloud) and following open-source ecosystem evolutions.
Target audience
Professionals, developers, project managers, and consultants wishing to use DeepSeek to automate or enhance their business processes with generative AI.
Prerequisites
Basic Python knowledge and general understanding of Machine Learning
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