What is the price of the Training Flowise 2026 - Create low-code AI apps training?

The price of the Training Flowise 2026 - Create low-code AI apps training is 4375€ HT. This includes access to all modules, training materials and personalized support. Funding solutions are available through OPCO.

Is the training Qualiopi certified?

Yes, Learni is a Qualiopi-certified training organization. This certification guarantees the quality of our courses and enables funding through OPCO and other mechanisms.

What is the duration of the Training Flowise 2026 - Create low-code AI apps training?

The Training Flowise 2026 - Create low-code AI apps training takes place over 5 journées. The program is structured in progressive modules for optimal skill development.

How can I fund my training?

Our courses are eligible for OPCO funding. Learni supports you through the funding process. A personalized quote is available upon request.

What are the prerequisites for this training?

The prerequisites for the Training Flowise 2026 - Create low-code AI apps training are: Basic knowledge of JavaScript or Python, familiarity with REST APIs. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Training Flowise 2026 - Create low-code AI apps training is available in distanciel. The format can be adapted to your needs (inter, intra, custom).

Training Flowise 2026 - Create low-code AI apps | Learni

The story of Learni

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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Methods, approaches, and teaching resources

The Training Flowise 2026 - Create low-code AI apps 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.

Teaching resources provided

To ensure the quality of the Training Flowise 2026 - Create low-code AI apps training, Learni provides the following teaching resources:

Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, video projector or interactive touchscreen (for remote sessions)
Training environments installed on workstations or accessible online
Course materials, practical exercises, and supplementary resources
Post-training access to materials and 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.

* contact us for remote feasibility** ratio varies depending on the training followed

Assessment methods

The assessment of skills acquired during the Training Flowise 2026 - Create low-code AI apps training is carried out through:

During training: case studies, practical exercises, and professional scenarios
At the end of training: self-assessment questionnaire and skills evaluation by the trainer
After training: training completion certificate detailing acquired skills

Training accessibility

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.

Training access terms and deadlines

Training objectives

Master the Flowise 2026 interface to develop professional AI applications

Build low-code LLM chains tailored to business needs

Implement intelligent conversational agents in the enterprise

Integrate LLM models and embeddings for high-performance workflows

Deploy certified Flowise applications in secure production environments

Optimize AI workflows to boost professional productivity

Training program

Module 1Flowise 2026 Fundamentals: installation and low-code interface (nodes, canvas, integrated tools)

Immersive discovery of Flowise 2026 with quick installation of the local and cloud environment, intuitive exploration of the drag-and-drop canvas to model your first AI workflows, hands-on with essential nodes like prompts and chat models, practical exercises on a concrete simple chatbot case, creation of your first functional deliverable with real-time testing, immediate valorization of your accessible AI skills for all professionals.

Module 2Flowise 2026 LLM Chains: building basic workflows (LangChain.js, OpenAI integrations)

Smooth construction of LLM chains in Flowise 2026 using predefined nodes, connection to APIs like OpenAI GPT for intelligent text generation, chaining of parsers and short-term memory tools, practical workshops on business scenarios like customer data analysis, interactive debugging with visual logs, production of a complete exportable workflow, rapid skills development for immediate professional applications.

Module 3Flowise 2026 Embeddings and Retrieval: vector stores and RAG (Pinecone, FAISS, document upload)

Immersion in Flowise 2026 embeddings to enrich your AI apps, configuration of vector stores like Pinecone or FAISS for semantic search, RAG implementation on your internal documents via upload and automatic chunking, hands-on exercises on intelligent Q&A from company knowledge bases, optimization of retrievers for improved accuracy, deliverable of a ready-to-use RAG assistant, transformation of your data into a competitive advantage.

Module 4Flowise 2026 AI Agents: memory and advanced tools (ReAct agents, custom tools)

Development of autonomous agents in Flowise 2026 with ReAct patterns for iterative reasoning, integration of long-term memory for contextual conversations, creation of custom tools like calculators or external APIs, practical simulations on multi-task agents for customer support or business automation, robust testing with human-in-the-loop, finalization of a deployable certified agent, full empowerment for scalable professional AI solutions.

Module 5Flowise 2026 Deployment: production and optimization (Docker, API server, monitoring)

Mastery of Flowise 2026 deployment in production mode via Docker and headless API server, securing workflows with authentication and rate limiting, performance optimization for high enterprise loads, integrated monitoring with logs and metrics, final exercises on your complete red-thread project, cloud-ready export and hosting, delivery of certificates and post-training action plan for immediate ROI in your professional projects.