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Training DSPy 2026 - Programming AIs for Optimal Results

Ref: VBR971
10 people max.
3500€ HT / per person
−15% from 2 people−30% from 3 people−50% from 5 people
Pay in 3 installments · +$170/day onsite · +$500 with certification exam
4 journées
distanciel

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Learning objectives

  • Master the fundamentals of DSPy 2026 to develop professional AI programs
  • Build signatures and modules to optimize prompt chains in a business setting
  • Implement automatic optimizers to improve model performance
  • Develop certifying AI applications with DSPy 2026 and its integrated tools
  • Set up retrieval-augmented generation pipelines for advanced skills
  • Deploy scalable DSPy 2026 solutions in a professional certifying context

The Learni story

Founded by passionate learning and innovation experts, Learni's mission is to make professional training accessible to everyone, anywhere in the world. Our team operates in major hubs — London, New York, Boston — and internationally, to support talents and organizations in upskilling.

Don't let this gap widen

Why this program matters

  • Without this upskilling, your team accumulates a technological gap that translates directly into productivity loss.

  • Organizations that don't train their talents on key topics see their competitiveness drop.

  • Every quarter without training is a gap widening with competitors who invest.

  • The cost of inaction quickly exceeds that of well-targeted training.

Fouzi Benzidane
Fouzi Benzidane

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1DSPy 2026 Fundamentals: Installation and First Programs (setup, signatures, LM clients)

Discover the quick installation of DSPy 2026 via pip and conda, set up your environment with LLM clients like OpenAI or Hugging Face, create your first signatures to define precise tasks such as classification or text generation, perform practical exercises on real business datasets, produce a simple program that automatically optimizes a basic prompt, and validate your learning through a mini-thread project with immediate trainer feedback for instant skill improvement.

Module 2DSPy 2026 Modules: Building Advanced Prompt Chains (Predict, ChainOfThought, retrieval)

Dive into essential modules like Predict and ChainOfThought to structure complex reasoning, integrate retrieval techniques with vector databases like FAISS or Pinecone, chain multiple modules to simulate professional AI workflows, apply these tools to concrete cases like customer sentiment analysis or automated report generation, optimize your chains via custom metrics, and build a testable intermediate deliverable in a team to experience the power of DSPy 2026 in your daily projects.

Module 3DSPy 2026 Optimizers: Training Automation (BootstrapFewShot, MIPRO, teleprompting)

Learn to deploy optimizers like BootstrapFewShot to generate automatic training examples, explore MIPRO for advanced probabilistic optimization, set up teleprompting loops that iterate on your prompts until ideal performance, test on real business benchmarks like RAG or QA, analyze precision and latency metrics to refine your models, perform collaborative exercises with code review, and produce an optimized pipeline ready for production demonstrating 30% efficiency gains from the first iteration.

Module 4DSPy 2026 Projects and Deployment: Scalable Professional Applications (compilation, API, monitoring)

Finalize your thread project by compiling a complete DSPy 2026 program with deployment via FastAPI or Docker, integrate LLM performance monitoring for business maintenance, simulate production scenarios with variable loads and optimized API costs, evaluate business impact via concrete KPIs like prompt ROI, share your deliverables in a defense with expert feedback, and leave with a certifying portfolio demonstrating your new AI optimization skills to boost your career immediately.

Evaluation method

  • MCQ to validate learning outcomes at the end of the DSPy 2026 training
  • Continuous assessment through practical exercises and prompt optimization
  • Defense of the DSPy thread project in front of the expert trainer

Learning method

  • Courses led by a DSPy expert trainer in active professional practice
  • Practical exercises on real business AI cases and open datasets
  • Progressive thread project over 4 days for immediate application
  • Complete DSPy 2026 course materials provided to each participant

Methods, materials and delivery

The Training DSPy 2026 - Programming AIs for Optimal Results program is delivered onsite or remote (blended-learning, e-learning, virtual classroom, remote presence). At Learni, an industry-certified training organization, every program is built to maximize skills acquisition regardless of the chosen format.

The trainer alternates between demonstrative, interrogative and active methods (through hands-on labs and/or scenarios). This pedagogical approach guarantees concrete learning that's immediately applicable at work.

Equipment required

For the smooth delivery of the Training DSPy 2026 - Programming AIs for Optimal Results program, the following equipment is required:

  • Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, projector or interactive touch screen (for remote sessions)
  • Training environments installed on workstations or accessible online
  • Course materials, hands-on exercises and complementary resources
  • Post-training access to materials and educational resources

For intra-company training on a site outside Learni, the client commits to providing all required teaching materials (computers, internet, etc.) for the smooth delivery of the program in line with the prerequisites in the communicated program.

* contact us for remote delivery feasibility** ratio varies depending on the program

Skills assessment methods

Assessment of skills acquired during the Training DSPy 2026 - Programming AIs for Optimal Results program is performed through:

  • During training: case studies, hands-on labs and professional scenarios
  • End of training: self-assessment questionnaire and skills evaluation by the trainer
  • After training: completion certificate detailing acquired skills

Program accessibility

Learni is committed to making its programs accessible. All our programs are accessible to people with disabilities. Our teams are available to adapt the pedagogical methods to your specific needs. Please contact us for any adjustment request.

Enrollment terms and lead times

Learni programs are available inter-company and intra-company, onsite or remote. Enrollments are possible up to 48 business hours before the program starts. Our programs are eligible for corporate funding paths. Contact us to discuss your training project and funding options.

Verified reviews

What our learners

4.9 · +100 verified reviews
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
Read all reviews
Our method

Training quality, guaranteed at every step

Before, during, after: we frame the brief, introduce the trainer, tailor the content and measure impact. You stay in control from kickoff to wrap-up.

Step 1

Rigorous trainer selection

Each trainer is validated on three criteria: hands-on field expertise, proven pedagogy and alignment with your industry.

  • Triple validation: technical, pedagogical, sectoral.
  • Minimum rating 4.8/5 over the last 12 sessions.
Step 2

You meet the trainer beforehand

30-minute video call between you and the selected trainer to validate the fit, adjust content and clear any final doubts.

  • Live briefing on goals and team context.
  • Veto right — we swap the trainer for free if needed.
Step 3

Content tailored to your context

No recycled slides. The syllabus is reworked from your real cases: tools, constraints, vocabulary, ongoing projects.

  • Hands-on cases drawn from your stack and projects.
  • Program co-written then validated by your team.
Step 4

Continuous quality follow-up

Live evaluations, 30/90/180-day check-ins and a consolidation plan. If the impact misses the mark, we rework it.

  • NPS, knowledge quizzes and skills self-assessment.
  • Satisfaction guarantee: fully satisfied or free rework.

A simple promise: you don't pay to discover the trainer on day one. Everything is validated upfront, by you.

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