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 the fundamentals of Self-RAG 2026 in a professional certifying training
- Develop skills in self-reflective augmented retrieval for enterprise applications
- Design optimized autonomous AI agents through practical exercises
- Implement Self-RAG pipelines with modern open-source tools
- Optimize AI response accuracy in professional contexts
- Evaluate and deploy certifying Self-RAG solutions in production
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 1Introduction to Self-RAG 2026: RAG Basics and Self-Reflection (Python, LangChain)
Discover the fundamental principles of Retrieval-Augmented Generation and Self-RAG 2026 through interactive presentations, install Python and LangChain environments, perform your first simple retrieval exercises on vector databases, analyze real business cases using RAG to reduce LLM hallucinations, and produce a deliverable: a basic augmented query prototype.
Module 2Self-RAG 2026 Mechanisms: Critique and Reflection (LLMs, Embeddings)
Dive into the self-critique mechanisms of Self-RAG 2026 with LLMs like Llama 3, generate automatic reflections on responses, practice document embedding via FAISS and Hugging Face, test real optimization scenarios, compare performance before/after self-reflection, and create an intermediate functional pipeline as a concrete deliverable for professional applications.
Module 3Self-RAG 2026 Implementation: Advanced Pipelines (LlamaIndex, Agents)
Build complete Self-RAG 2026 pipelines using LlamaIndex and autonomous agents, integrate iterative reflection loops, practice on real enterprise datasets for complex Q&A, optimize tokens and costs via advanced prompting, simulate cloud deployments with AWS or Azure, and validate your work with a deliverable: a locally deployable Self-RAG agent.
Module 4Self-RAG 2026 Optimization: Performance and Scalability (Fine-Tuning, Evaluation)
Optimize your Self-RAG 2026 models through lightweight fine-tuning and evaluation metrics like RAGAS, test robustness against ambiguous queries, integrate monitoring tools like Weights & Biases, analyze industrial benchmarks showing +40% accuracy, adapt to various business cases in finance or healthcare, and produce an optimization report as a deliverable certifying your skills.
Module 5Self-RAG 2026 Deployment: Production and Use Cases (Docker, Streamlit)
Deploy your Self-RAG 2026 solutions in production via Docker and Streamlit for intuitive user interfaces, secure pipelines with API keys and rate limiting, explore advanced enterprise use cases like intelligent chatbots, review everything via quizzes and group projects, and finalize with a deliverable: a ready-to-use Self-RAG 2026 web application, accompanied by a skills certificate.
Evaluation method
- Daily interactive quizzes to validate theoretical knowledge
- Practical projects per day with personalized feedback
- Final group case study evaluated by certified experts
Learning method
- 70/30 approach: 70% practical, 30% theory for rapid assimilation
- Hands-on exercises on dedicated machines in-person
- Real business cases for professional contextualization
- 3-month post-training support for successful deployment
Methods, materials and delivery
The Training Self-RAG 2026 - Mastering Autonomous AI Agents 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 Self-RAG 2026 - Mastering Autonomous AI Agents 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 2026 - Mastering Autonomous AI Agents 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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