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.

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 DSPy - Optimizing AI Prompts for Professional Apps training are: Python basics, introductory knowledge of LLMs and prompts. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Training DSPy - Optimizing AI Prompts for Professional Apps training is available in distanciel. The format can be adapted to your needs (inter, intra, custom).

Training DSPy - Optimizing AI Prompts for… | 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 DSPy - Optimizing AI Prompts for Professional 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.

Teaching resources provided

To ensure the quality of the Training DSPy - Optimizing AI Prompts for Professional Apps 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 DSPy - Optimizing AI Prompts for Professional Apps 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 objectives

Master the fundamentals of DSPy to develop professional AI programs

Design optimized DSPy signatures and modules for business use

Implement automatic optimizers for certified prompt chains

Develop scalable AI applications with DSPy and LLMs

Optimize DSPy performance through compilation and evaluation

Deploy DSPy pipelines in secure production environments

Training program

Module 1DSPy Fundamentals: Installation and First Programs (Python, LM, Signatures)

Quick installation of the DSPy environment with pip and configuration of a local or cloud LLM like OpenAI, create your first simple DSPy program to answer complex questions, explore signatures to define structured inputs and outputs, practical exercises on real business cases like automated report generation, produce a functional deliverable with immediate trainer feedback to anchor professional skills from the first day.

Module 2DSPy Modules: Advanced Prompt Chains (Retrievers, Generators, Chains)

Deep dive into essential DSPy modules like ChainOfThought and ReAct to boost AI reasoning, assemble complex chains linking vector retrievers and text generators, intensive practice on real business datasets for document classification or insight extraction, manual prompt optimization via DSPy playground, develop a custom testable module live with precision metrics, consolidate learning through a collaborative mini-project enhancing your certified training skills.

Module 3DSPy Optimizers: Automation and Compilation (BootstrapFewShot, MIPRO)

Discover DSPy optimizers like BootstrapFewShot to auto-generate training examples without manual datasets, launch automatic compilations on your Day 2 program to maximize LLM performance, experiment with MIPROv2 on multilingual business tasks, quantitative evaluation via integrated DSPy metrics like accuracy and calibration, iterative real-time adjustments on concrete cases like enterprise Q&A, produce an optimized production-ready pipeline with a measurable gains report.

Module 4DSPy Applications: Deployment and Professional Projects (API, Scaling, Evaluation)

Integrate DSPy into full-stack applications with FastAPI for scalable AI endpoints, deploy on cloud platforms like Vercel or AWS with integrated monitoring, exercises on scaling to handle thousands of daily requests in business settings, full review of the personalized red thread project with final optimization, end-to-end tests including human and automatic evaluation, delivery of annotated source code and maintenance plan for immediate production deployment, closing Q&A on real business cases to reinforce certified skills.