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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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The Training LangChain - Developing Autonomous AI Agents 2026 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 - Developing Autonomous AI Agents 2026 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 - Developing Autonomous AI Agents 2026 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.
Installation of LangChain 2026 environment and creation of first professional chains, mastery of prompt engineering with dynamic templates and few-shot examples, integration of local or cloud LLMs via secure APIs, development of JSON and structured parsers for reliable responses, practical exercises on enterprise cases like intelligent chatbots, production of reusable chains with logging and performance evaluation, personalized code review for immediate professional skills.
Design of multi-tool autonomous agents with step-by-step reasoning, implementation of conversational memory and vector stores like FAISS or Pinecone for performant RAG, connection to enterprise databases and external tools via custom functions, LLM cost optimization with caching and batching, exercises on real projects like decision-making virtual assistants, serverless deployment with Docker and monitoring, finalization of a deployable running project agent with complete documentation for immediate professional use.
Target audience
AI developers, data engineers, ML engineers for LangChain upskilling in the enterprise
Prerequisites
Mastery of Python, basics in LLMs and APIs like OpenAI
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