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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 Obsidian - Organizing Knowledge in 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 Training Obsidian - Organizing Knowledge in 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 Training Obsidian - Organizing Knowledge in 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.
Discover Obsidian through guided installation on Windows, Mac, and Linux, create your first vault dedicated to AI concepts, configure themes and keyboard shortcuts for intuitive use, practice Markdown note entry with internal links, test real-time previews, export your first documents to validate basics, while integrating concrete examples of deep learning glossary.
Dive into Obsidian's bidirectional links to connect AI ideas, build interactive graphs illustrating prompt flows, explore backlinks and embeds for nested notes, complete practical exercises on deep learning architectures, generate canvas views for collaborative brainstorming, analyze real cases of prompt chain optimization, produce a personal exportable graph deliverable in PDF.
Install and configure key plugins like Dataview for dynamic queries on AI datasets, use Advanced Tables to structure deep learning model comparisons, implement Kanban for prompt engineering project management, test Calendar and Excalidraw for neural diagrams, apply to business cases with SQL-like queries on notes, create personalized dashboards, export reports for professional presentations.
Develop reusable templates for prompt sheets and deep learning reviews, enable full-text and semantic search for rapid AI database mining, integrate Obsidian with external tools like Git for versioning, practice cloud synchronization via iCloud or Obsidian Sync, build daily workflows for researchers, test Templater scripts for automatic generation, produce an optimized thematic tagging system for businesses.
Complete a capstone project: comprehensive knowledge base on prompt engineering and deep learning, optimize vault performance with large volumes of AI notes, export to static HTML or interactive PDF for professional portfolios, share secure collaborative vaults, evaluate via quizzes and peer review, receive personalized feedback, end with a post-training action plan for enterprise integration, including Qualiopi certificates.
Target audience
Data analysts, prompt engineers, IT managers, and novice AI researchers seeking to upskill in structuring their notes and intelligent projects
Prerequisites
Basic computer proficiency, daily use of digital tools, basic knowledge of text files or Markdown appreciated
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