What is the price of the Training LangChain - Mastering LLM Chains for AI training?

The price of the Training LangChain - Mastering LLM Chains for AI training is 2625€ 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 LangChain - Mastering LLM Chains for AI training?

The Training LangChain - Mastering LLM Chains for AI training takes place over 3 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 LangChain - Mastering LLM Chains for AI training are: Python basics, familiarity with LLMs such as GPT or ChatGPT. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Training LangChain - Mastering LLM Chains for AI training is available in distanciel. The format can be adapted to your needs (inter, intra, custom).

Training LangChain - Mastering LLM Chains for AI | 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 LangChain - Mastering LLM Chains for AI 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 LangChain - Mastering LLM Chains for AI 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 LangChain - Mastering LLM Chains for AI 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 fundamentals of LangChain for professional AI applications

Develop certified LLM chains tailored to business needs

Implement RAG techniques for high-performance augmented search

Build intelligent agents with tools and persistent memory

Integrate LangChain into Python projects for rapid skill development

Deploy scalable LangChain applications in production environments

Training program

Module 1LangChain Fundamentals: Installation and First Enriched Prompts (Python, OpenAI, LCEL)

Quick installation of the LangChain environment with Python and essential dependencies like LangSmith, creation of structured prompts via LCEL for precise responses, integration of OpenAI and HuggingFace LLM models, practical exercises on simple text generation chains, development of a basic Q&A app with immediate feedback from the certified trainer, consolidation of skills for professional projects from day one.

Module 2Advanced LangChain Chains: RAG and Retrieval (Vector Stores, Embeddings, Documents)

Deep dive into Retrieval-Augmented Generation with LangChain, setup of vector stores like FAISS and Chroma to index company documents, generation of embeddings using OpenAI or Sentence Transformers, hands-on exercises on semantic search in internal knowledge bases, seamless chaining of retrieval and LLM generation, building a functional RAG chatbot on real-world cases, with prompt optimization for enhanced reliability and immediate business value.

Module 3LangChain Agents and Deployment: Autonomous Projects (Tools, Memory, Streamlit, Docker)

Building intelligent LangChain agents with custom tools and conversational memory, integration with external APIs for business automation, development of multi-step agents to solve complex problems, deployment using Streamlit for interactive web interfaces and Docker for scalability, real-world testing with LangSmith monitoring, completion of a deliverable red thread project ready for production and certification of acquired skills.