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.
1 seat held for the next session
30:00Held for another
Request a call back and an advisor reaches you within 24 business hours, Monday to Saturday.
Trusted by — schools, companies and industrial groups
Every program built with a dedicated engineer
Learning objectives
- Master Agentic RAG architectures for robust professional applications
- Develop autonomous agents capable of orchestrating complex enterprise workflows
- Design certifying pipelines integrating advanced retrieval and reasoning
- Implement memory and planning mechanisms for high-performance AI agents
- Optimize large-scale Agentic RAG deployments with modern tools
- Evaluate and secure acquired skills in real enterprise contexts
Our social commitment
A school kit donated to a child for every training
To fight inequalities in access to education, Learni donates a complete school kit to a child in need for every training booked. You build your skills, a child heads back to school.
- Backpack, notebooks and essential supplies
- Distributed through our partner charities
- Included, at no extra cost to you
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.
Program
Module 1Theme: Agentic RAG Fundamentals and Simple Agents (LangChain, LlamaIndex, guided exercises)
Participants discover the foundations of Agentic RAG through demonstrations and hands-on workshops. They explore key components such as tools, planners, and reasoning loops using LangChain and LlamaIndex. Real-world enterprise cases enable building a first simple agent capable of querying vector databases. Deliverables include a functional prototype and an analysis report.
Module 2Theme: Advanced Agentic RAG with Memory and Tools (CrewAI, AutoGen, guided projects)
This day deepens the management of long-term and short-term memory in Agentic RAG systems. Learners integrate frameworks such as CrewAI and AutoGen to create collaborative agents. Practical exercises focus on multi-agent orchestration and external tool integration. Each participant delivers a multi-step agent tested on a realistic professional scenario.
Module 3Theme: Agentic RAG and Evaluation (LangSmith, quality metrics, benchmarks)
Trainees learn to rigorously evaluate the performance of Agentic RAG systems. They use LangSmith to trace calls, measure accuracy, and detect hallucinations. Workshops compare different retrieval and reasoning strategies. The final deliverable is a complete evaluation dashboard applied to a certifying use case.
Module 4Theme: Agentic RAG in Production (cloud deployment, scaling, monitoring)
This session covers moving Agentic RAG solutions into production. Participants deploy agents on cloud infrastructures, configure auto-scaling, and implement continuous monitoring. Exercises address cost management, latency, and security. Each learner finishes with a deployed and documented agent ready for enterprise use.
Module 5Theme: Agentic RAG Final Project and Certification (synthesis, presentation, validation)
The final day is dedicated to a capstone project integrating all acquired Agentic RAG skills. Participants design, develop, and present a complete agent addressing a concrete professional need. Feedback and validation sessions lead to a recognized certification. The deliverable includes code, documentation, and a live demonstration.
Evaluation method
- Final MCQ and practical case studies
- Agentic RAG project evaluated by peers and trainers
- Certificate of competency issued at the end of the training
Learning method
- Daily hands-on workshops on real-world cases
- Access to a resource platform and source code
- Personalized feedback during and after the training
- Alumni community for ongoing exchanges
Methods, materials and delivery
The Training Agentic RAG 2026 - Mastering High-Performance AI Agents 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 Agentic RAG 2026 - Mastering High-Performance 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 Agentic RAG 2026 - Mastering High-Performance 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
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.
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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FAQ
Frequently asked questions
How much does the Training Agentic RAG 2026 - Mastering High-Performance AI Agents training cost?+
The individual price is $5,775 (USD). The team / on-site group package is shown on the course page. A detailed quote is sent within one business day.
How long is the Training Agentic RAG 2026 - Mastering High-Performance AI Agents training?+
The training lasts 5 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?+
Proficiency in Python, proven experience with LLMs, and solid foundations in RAG architectures, embeddings, and APIs.
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.
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