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...
Artificial Intelligence training in Cardiff in May 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Cybersecurity training in Sheffield in November 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.
Discover the best warehouse management and logistics training options scheduled for March 2026, focusing on emerging trends like AI automation, sustainability, and supply chain resilience to boost your career.
Don't let this gap widen
Without mastering LangChain, 70% of LLM projects fail due to poor prompt chains, wasting 20 hours per developer on unnecessary debugging.
Your competitors deploy AI apps 3x faster, capturing 40% market share in under a year.
Risk of OpenAI API costs multiplying by 5 without RAG optimization.
Lose freelance opportunities at 80€/h or internal promotions.
Train now to avoid these pitfalls, turn your ideas into concrete revenue, and dominate generative AI.
The Training LangChain - Build Intelligent 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.
To ensure the quality of the Training LangChain - Build Intelligent AI Apps 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 LangChain - Build Intelligent AI Apps 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.
Dive into LangChain by installing the environment via pip, configure your first OpenAI API keys, experiment with simple chains using LCEL to transform prompts into structured responses, complete exercises on data parsing, create your first reusable templates, and produce a deliverable: a basic chain that summarizes texts, while gaining confidence to scale your AI projects.
Explore persistent memory for contextual conversations, build autonomous agents that call external tools like search engines, implement RAG with vector embeddings via FAISS, test on real cases like a Q&A chatbot, generate dynamic data flows, and validate with practical exercises, resulting in a functional agent ready to integrate into your apps.
Assemble an end-to-end AI application with LangChain and Streamlit for an intuitive user interface, integrate vector databases like Pinecone, optimize costs and latency with caching techniques, deploy in Docker containers, simulate real scenarios like a sales assistant, finalize with a personal project and expert feedback, and leave with a concrete portfolio to boost your AI career.
Target audience
Python developers, data scientists, AI engineers upskilling on LLMs.
Prerequisites
Python basics, knowledge of AI and language models.
Loading...
Please wait a moment





























