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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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Professional Training training in Tucson in December 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Professional Training training in Dallas in July 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Artificial Intelligence training in San Francisco in October 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
No-Code / Low-Code training in Leeds in November 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
The Training Tabnine 2026 - Boost Code Productivity with 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 Tabnine 2026 - Boost Code Productivity with 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 Tabnine 2026 - Boost Code Productivity with 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.
Immersive discovery of Tabnine 2026 with quick installation in your preferred IDE, configuration of key APIs, and initial tests of intelligent autocompletion on simple snippets. Practical exercises to generate boilerplate code in Python and JavaScript, analysis of contextual suggestions adapted to your style, creation of a personal red thread project with immediate trainer feedback to validate professional skills from day one.
Deep dive into Tabnine 2026 contextual suggestions for multiple languages, customization of AI models via simple prompts and training on enterprise codebases. Collaborative workshops to integrate the tool in pairs on real cases like refactoring complex functions, optimization of parameters to reduce errors by 40%, production of concrete deliverables like a module coded in half the time, with a focus on data security and confidentiality in enterprise settings.
Advanced application of Tabnine 2026 in complete workflows, integration with Git and CI/CD for accelerated deployments. Exercises on simulated enterprise projects with precise measurement of productivity gains via built-in metrics, resolution of concrete cases like assisted debugging and unit test generation, finalization of the red thread project with final audit and team adoption plan, delivery of certifying materials for immediate enterprise implementation.
Target audience
Software developers, IT engineers, and teams in professional reconversion for AI skills development
Prerequisites
Basic programming knowledge (Python, JavaScript or Java) and daily use of an IDE like VS Code
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