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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 Self-RAG - Mastering Reflective AI for Leadership 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 Self-RAG - Mastering Reflective AI for Leadership 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 Self-RAG - Mastering Reflective AI for Leadership 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.
Discover the self-reflective mechanisms of Self-RAG through practical workshops on LangChain and LlamaIndex, implement critique and generation loops to correct hallucinations in real-time, analyze concrete business cases where Self-RAG doubled the accuracy of managerial insights, produce your first pipelines with exercises on professional datasets, test integration with internal knowledge bases for strengthened leadership, and receive ready-to-deploy templates to accelerate your certifiable skills.
Apply Self-RAG to real team management scenarios, configure AI agents for personalized coaching and self-improving feedback, develop interactive dashboards with Streamlit integrating Self-RAG to analyze performance and predict risks, simulate business crises to test system robustness, collaborate in pairs on production-ready deliverable projects, evaluate impact via KPI metrics such as 30% reduction in decision errors, and finalize with an action plan to integrate Self-RAG into your professional certification strategy.
Target audience
Team managers, professional coaches, HR directors, and IT leaders seeking to upskill in Self-RAG AI to optimize enterprise management
Prerequisites
Mastery of generative AI basics, standard RAG, advanced Python, and team management concepts in a professional context
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