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.
Learning objectives
- Master DSPy 2026 to optimize professional AI pipelines
- Develop advanced modules and signatures in a business context
- Implement automatic optimizers to boost performance
- Design scalable RAG applications with certified DSPy
- Deploy optimized DSPy programs in production
- Acquire certifying skills in AI optimization
- Integrate DSPy 2026 into complex enterprise workflows
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.
Program
Module 1DSPy 2026 Fundamentals: Modular Architecture and Advanced Signatures (LM, teleprompters)
Dive into the expert architecture of DSPy 2026, configure custom signatures for complex AI tasks, integrate LLMs like GPT-4o or Llama 3 via LM handlers, perform practical exercises on real enterprise datasets, build your first DSPy program with basic optimization, test performance metrics, and produce an initial evaluation report to validate your professional skills.
Module 2DSPy 2026 Modules: Chains and Custom Optimizers (BootstrapFewShot, MIPRO)
Build interconnected DSPy 2026 module chains for robust AI pipelines, implement optimizers like BootstrapFewShot and LabeledFewShot for self-improvement, apply to concrete cases like enterprise semantic classification, generate automated training datasets, optimize prompts via compilation, measure precision gains, and deploy a functional prototype with trainer code review.
Module 3Advanced DSPy 2026 Optimization: Compilers and Custom Metrics (BootstrapFinetune)
Master DSPy 2026 compilers for end-to-end optimization, define custom metrics tailored to business needs, use BootstrapFinetune to fine-tune models on limited data, handle expert scenarios like AI code generation, analyze optimization curves, resolve common pitfalls in debugging, and produce an optimized pipeline ready for production integration with quantified benchmarks.
Module 4Complex DSPy 2026 Pipelines: RAG and Multi-Agents (Retrieval, ChainOfThought)
Develop advanced RAG pipelines with DSPy 2026 integrating augmented retrieval and ChainOfThought, orchestrate multi-task agents for enterprise applications, integrate vector databases like FAISS or Pinecone, test on real intelligent Q&A cases, optimize latency and precision via automated iterations, simulate production loads, and document a complete deliverable with architecture diagrams for certified skill advancement.
Module 5DSPy 2026 Deployment: Scaling and Monitoring in Enterprise (Docker, observability)
Deploy DSPy 2026 programs to production with Docker and Kubernetes, configure advanced AI performance monitoring via Prometheus and Grafana, integrate with FastAPI for scalable services, manage cloud costs by optimizing LLM calls, perform load testing on business workloads, finalize your ongoing project with live deployment, and receive a certificate validating your expert skills in professional AI optimization.
Evaluation method
- Expert multiple-choice quiz to validate acquired knowledge at the end of the training
- Continuous evaluation through practical pipeline optimization
- Presentation of the DSPy 2026 ongoing project to the trainer
Learning method
- Courses led by an active DSPy expert trainer
- Practical exercises on real enterprise AI cases
- Progressive ongoing project in DSPy 2026 throughout the training
- Complete course materials and source code provided
Methods, materials and delivery
The Training DSPy 2026 - Optimizing High-Performance AI Pipelines 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 - Optimizing High-Performance AI Pipelines 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 - Optimizing High-Performance AI Pipelines 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
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
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.
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.
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.
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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