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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.
10 spots per session maximum — 10 already taken
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30 free minutes with a training advisor — no commitment.
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Artificial Intelligence training in Cardiff in May 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Professional Training training in Memphis in October 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.
Explore the projected return on investment from no-code training programs for businesses by March 2026, including cost savings, productivity gains, and real-world case studies.
Don't let this gap widen
Without mastery of LangChain, AI teams waste 40% more time debugging inefficient LLM chains and prompts, leading to stalled projects.
70% of beginner-led LLM initiatives fail due to unchecked hallucinations and poor agent orchestration, costing companies an average of $300,000 per failed deployment in lost productivity and rework.
This exposure risks competitive disadvantage and career stagnation as rivals deploy scalable AI solutions 2x faster.
Every month without LangChain proficiency, businesses forfeit millions in untapped revenue from underoptimized applications.
The Training in LangChain - Initiation 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 in LangChain - Initiation 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 in LangChain - Initiation 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 LangChain. Powerful framework for LLMs. Master the basics today. Install Python and LangChain. Configure OpenAI API. Create your first prompt. Use simple LLMChain. Test quick responses. Explore integrated models. Manage API keys securely. Practice with guided exercises. Build a basic chain. Analyze results. Optimize prompts. Learn templates. Integrate dynamic variables. See real AI cases. Interactive and practical training. Progress step by step. Become autonomous in LangChain. Boost your AI projects.
Dive into advanced chains. Use PromptTemplate. Chain multiple LLMs. Integrate JSON parsers. Manage structured outputs. Discover Memory for conversations. Add persistent context. Create simple chatbots. Test with Streamlit. Explore built-in tools. Call external APIs. Build basic agents. Use ReAct pattern. Solve complex tasks. Practice step-by-step reasoning. Optimize performance. Handle common errors. Debug your chains. Exercise on real projects. Master Retrieval QA. Index simple documents. Query knowledge bases. Boost AI productivity. Intensive hands-on training. Short sentences. Immediate results.
Build advanced agents. Integrate custom tools. Create automated workflows. Use LangGraph for flows. Design complex graphs. Test loops and conditions. Apply to business cases. Analyze data with LLM. Summarize long documents. Extract key insights. Deploy on simple cloud. Optimize API costs. Secure your apps. Share final projects. Evaluate performance. Receive expert feedback. Prepare AI portfolio. Master LangChain initiation. Advance to next level. Group exercises. Personalized support. Certificate at end of training. Transform ideas into AI apps. Success guaranteed. SEO-optimized LangChain training. Search 'LangChain initiation training'.
Target audience
Beginners in AI and LLM development
Prerequisites
Python basics. Useful AI concepts
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