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 the principles of Agentic RAG for professional certifying AI systems
- Develop autonomous agents integrating advanced retrieval and generation
- Design agentic workflows with tools like LangGraph and CrewAI
- Implement multi-agent RAG for complex enterprise use cases
- Optimize performance and reliability of AI agents in production
- Deploy scalable and secure Agentic RAG applications
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 mastery of Agentic RAG, 70% of generative AI systems suffer from hallucinations, causing 25% productivity losses for data teams.
Unequipped companies lose an average of 150 hours per month on tedious manual searches, with error costs estimated at 50k€ annually per critical project.
In 2024, 82% of AI recruiters reject candidates without advanced agentic skills, blocking promotions and competitiveness.
Every quarter without training widens the gap: your competitors are already automating sales and support while you manage ineffective basic LLMs.
Invest now to avoid these costly traps and drive your AI projects into profitable production.
Program
Module 1Agentic RAG Fundamentals: Architecture and Intelligent Retrieval (LangChain, Embeddings)
Immersion in the basics of Agentic RAG via installation of Python environments with LangChain and LlamaIndex, exploration of embeddings for precise semantic search on enterprise datasets, setting up classic RAG pipelines evolving to simple agents, practical exercises on real cases like automated Q&A, creation of a first reactive agent with routing tools, production of a functional prototype tested live to validate professional skills.
Module 2Agent Design: Workflows and Collaborative Tools (LangGraph, CrewAI)
Deep dive into modeling autonomous agents using LangGraph for dynamic execution graphs, configuration of CrewAI to orchestrate multi-agents specialized in research and synthesis, practical workshops on business scenarios like legal document analysis, integration of vector stores like Pinecone for hybrid retrieval, development of a red thread agent capable of decomposing complex tasks, real-time debugging and optimization with trainer feedback for certifying mastery.
Module 3Advanced Agentic RAG: Multi-Agents and API Integrations (OpenAI, Vector DB)
Deployment of interconnected multi-agent systems via OpenAI and Anthropic APIs, exploration of reranking and self-reflection techniques to reduce hallucinations, practical cases on customer support automation with real-time retrieval from Weaviate, collaborative exercises to simulate critical enterprise workflows, implementation of ethical guardrails and performance monitoring, completion of the red thread project with concrete evaluation metrics, directly enhancing enterprise skills.
Module 4Optimization and Deployment of Agentic RAG: Scaling and Production (Docker, Monitoring)
Focus on cost and latency optimization with advanced caching and intelligent batching, containerization via Docker for cloud-ready deployment on AWS or Vercel, setup of monitoring with LangSmith to trace agentic decisions, robustness testing under high loads and failure scenarios, workshops to produce a live-deployed MVP accessible to participants, peer code review and maintenance plan, ensuring a smooth transition to scalable professional certifying uses.
Evaluation method
- Technical MCQ on Agentic RAG concepts at the end of the training
- Evaluation of practical exercises and the red thread project
- Oral defense of the agentic MVP in front of the expert trainer
Learning method
- Sessions led by an expert AI trainer in professional practice
- Hands-on exercises on real business cases and varied datasets
- Evolving red thread project over 4 days to anchor skills
- Detailed course materials and open-source code resources provided
Methods, materials and delivery
The Training Agentic RAG - Building Autonomous 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 - Building 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 Agentic RAG - Building 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
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 - Building Autonomous AI Agents training cost?+
The price is $4,620 (USD) per participant. A detailed quote is sent within one business day.
How long is the Training Agentic RAG - Building Autonomous AI Agents 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?+
Mastery of Python, knowledge of LLMs, embeddings, and vector databases
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.
Your professional training, anywhere
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