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Training Self-RAG - Optimizing RAG Systems in the Enterprise

Ref: KTN803
10 people max.
From $4,620 HT / per person
Pay in 3 installments · On-site on request · +$540 with certification exam
4 days
Onsite

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Learning objectives

  • Master the principles of Self-RAG for professional applications
  • Develop skills in retrieval-augmented generation
  • Design Self-RAG pipelines tailored to business needs
  • Implement certifying solutions with TensorFlow and PyTorch
  • Optimize MLOps performance in real-world contexts
  • Evaluate the risks and benefits of Self-RAG in training

The Learni story

Founded by engineers and learning experts, Learni's mission is to make high-impact tech training accessible to teams everywhere. We work remotely with organizations across the US and Canada, in your time zone, to help teams upskill fast.

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.

Allan BUSI
Allan BUSI

Learni trainer · AI expert

73%productivity gap
×3cost of inaction

Program

Module 1Theme: Self-RAG Fundamentals and RAG Architecture (Python, LangChain, guided exercises)

Participants discover the key concepts of Self-RAG through a structured training program. They explore augmented retrieval mechanisms, differences from classic RAG, and initial enterprise use cases. Practical Python exercises enable configuring a simple pipeline. Each learner leaves with a functional notebook and a clear understanding of critical components for professional projects.

Module 2Theme: Self-RAG Integration with TensorFlow and PyTorch (models, datasets, tests)

This training day focuses on the concrete implementation of Self-RAG. Professionals learn to connect TensorFlow and PyTorch models to vector databases. Real enterprise cases illustrate fine-tuning and retrieval error management. Participants complete practical exercises and produce an initial prototype evaluated by trainers.

Module 3Theme: MLOps and Self-RAG Deployment in Production (Docker, monitoring, pipelines)

Learners discover how to industrialize Self-RAG using MLOps best practices. The training covers model versioning, continuous deployment, and performance monitoring. In-person exercises allow containerizing a Self-RAG application and measuring key metrics. Each participant delivers a pipeline ready for enterprise use.

Module 4Theme: Advanced Self-RAG Optimization and Evaluation (benchmarks, feedback loops)

The final training day consolidates acquired Self-RAG skills. Professionals work on prompt optimization, feedback loops, and quality benchmarks. Real enterprise projects are analyzed in groups. Participants finalize a complete deliverable including documentation and strategic recommendations for their organization.

Evaluation method

  • Knowledge validation quizzes each day
  • Evaluated practical project in pairs
  • Final presentation in front of the trainer

Learning method

  • Short and targeted theoretical inputs
  • Practical exercises on real cases
  • Pair work with restitution
  • Personalized feedback from the trainer

Methods, materials and delivery

The Training Self-RAG - Optimizing RAG Systems in the Enterprise program is delivered onsite or remote (blended-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 Self-RAG - Optimizing RAG Systems in the Enterprise 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 Self-RAG - Optimizing RAG Systems in the Enterprise 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

Registration is possible up to 48 business hours before the start of training. All our programs are built for corporate L&D budgets and delivered onsite or remotely.

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.

FAQ

Frequently asked questions

How much does the Training Self-RAG - Optimizing RAG Systems in the Enterprise training cost?+
The individual price is $4,620 (USD). A detailed quote is sent within one business day.
How long is the Training Self-RAG - Optimizing RAG Systems in the Enterprise training?+
The training lasts 4 journées, available live online (US time zones) or on-site at your offices.
How is this training paid for?+
Most US teams pay directly through their company (L&D or training budget). We invoice in US dollars and accept bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
Are there any prerequisites?+
Basic knowledge of Python and familiarity with fundamental machine learning concepts.
Is a certificate delivered at the end?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report.
Does Learni provide the equipment?+
No. A computer and stable internet connection are required for the participant. Learni provides the educational platform, the trainer and all course materials.
On-site & remote

This training across cities

Available on-site and remotely. Pick your city to see the local training center.

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