Loading...
Please wait a moment
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.
Which format do you prefer?
30 free minutes with a training advisor — no commitment.
Loading available slots...
Explore Learni's cutting-edge data visualization courses launching in April 2026, featuring AI-driven tools, VR simulations, and real-world projects for professionals.
Discover step-by-step methods to master bookkeeping and accounting fundamentals in April 2026. Explore online courses, tools, practice tips, and future trends like AI integration for aspiring professionals.
Artificial Intelligence training in Mesa in September 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: Master LangFlow: Create AI Applications Without Coding 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 LangFlow: Create AI Applications Without Coding 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 LangFlow: Create AI Applications Without Coding 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.
Presentation of LangFlow and the no-code concept, exploration of the user interface, creation of a first project, installation and configuration of the platform, overview of available components and modules. Case study on use cases solved with LangFlow.
Assembly of modules to build a complete workflow, use of LLM models, introduction to conditional and iterative functions, management of inputs and outputs, customization of components, best practices for project structuring, practical exercises on creating Q&A bots and text generation.
Connecting LangFlow to external APIs (OpenAI, Hugging Face, Zapier…), processing textual or structured data flows, task automation, rights control and security, unit and performance tests, workflow maintenance and evolution, deployment on cloud or local servers, tips for sustaining and evolving no-code AI solutions. Study of a complete team project.
Target audience
IT professionals, teachers, entrepreneurs, and curious individuals wishing to develop AI applications with LangFlow without advanced programming knowledge.
Prerequisites
Basic computer skills and good understanding of the general functioning of generative AIs.
Loading...
Please wait a moment





























