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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 DSPy - Programming LLMs Effectively 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 DSPy - Programming LLMs Effectively 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 DSPy - Programming LLMs Effectively 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.
Quick installation of DSPy and setup of a professional environment, hands-on with signatures to structure LLM prompts, creation of your first DSPy module with exercises on concrete business cases, exploration of the compiler to automatically optimize chains, production of a simple program connected to an OpenAI API, personalized feedback from the trainer to consolidate your skills from the first day.
Development of complex chains in DSPy for real AI tasks, integration of assertions to validate LLM outputs, use of teleprompters like BootstrapFewShot to boost performance without manual prompts, practical exercises on text classification and automated generation, creation of a functional deliverable tested live, analysis of metrics to measure immediate professional impact.
Building scalable RAG pipelines with DSPy for enterprise applications, connection to vector databases like Pinecone or FAISS, implementation of optimized retrievers for precise question-answering, practical workshops on real datasets with automatic prompt editing, development of a complete prototype integrating retrieval and generation, evaluation of precision gains for certified professional uses.
Finalization of the capstone project into a deployable DSPy application, containerization with Docker for enterprise environments, interactive deployment via Streamlit for AI dashboards, final optimization of API costs and performance, real-world testing with monitoring, delivery of a certified portfolio and action plan for team integration, celebration of skills ready for real-world application.
Target audience
Python developers, data scientists, and beginner AI engineers looking to upskill in LLM frameworks
Prerequisites
Python basics, knowledge of language models and OpenAI APIs
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