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.
Training Agentic RAG 2026 - Orchestrating Autonomous AI Agents in Production
Trusted by — schools, companies and industrial groups
Every program built with a dedicated engineer
Learning objectives
- Master Agentic RAG architectures for professional certifying AI systems
- Develop autonomous multi-tool agents with advanced hierarchical reasoning
- Optimize hybrid RAG pipelines for enterprise precision and scalability
- Implement complex agentic workflows via LangGraph and CrewAI
- Design business use cases with persistent memory and external tools
- Deploy monitored Agentic RAG in secure cloud production
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 Agentic RAG 2026, your LLMs still hallucinate at 30-45%, generating 2M€ in annual losses from flawed decisions for an average tech company.
Teams lose 55% of time on manual reruns and debug, tripling project timelines.
In 2026, 82% of AI leaders (Gartner) adopt agentic approaches; ignoring this exposes you to 40% talent churn and competitive failure against rivals that are 5x more effective.
Every quarter without expert skills widens an irrecoverable gap in AI ROI.
Program
Module 1Architectures: Agentic RAG 2026 Fundamentals and Advanced Tools (LangChain, LlamaIndex, reasoning engines)
Dive into next-generation Agentic RAG paradigms, install environments with LangChain 0.3+ and LlamaIndex for hybrid agents, explore reasoning engines like ReAct and Plan-and-Execute on real enterprise datasets, build your first simple agent with custom tools and precision evaluation via RAGAS benchmarks, produce an architecture diagram and a tested functional prototype live.
Module 2Implementation: Multi-Step Autonomous Agentic RAG Agents (Multi-Agents, Memory, Dynamic Tools)
Develop complex workflows with LangGraph for agentic orchestration, integrate persistent vector memory (chromaDB, Weaviate) and external tools (SERP APIs, Python calculators), simulate concrete enterprise cases like automated financial analysis or intelligent customer support, optimize reasoning chains with self-correction loops, conduct collaborative exercises on red thread projects, generate performance reports and detailed logs for rapid iterations.
Module 3Deployment: Scalable Agentic RAG Production (Kubernetes, Observability, Enterprise Security)
Deploy your Agentic RAG in Docker containers on Kubernetes with auto-scaling, configure advanced monitoring (Prometheus, LangSmith) for traceability and real-time debugging, integrate security guardrails (RLHF, output filtering) against jailbreaks, test high load with 1000+ queries/min, apply CI/CD GitHub Actions for smooth updates, finalize an observability dashboard and a business rollout plan ready for production.
Evaluation method
- Advanced MCQ on Agentic RAG architectures and patterns
- Full implementation of a multi-tool agent, evaluated
- Defense of red thread project with RAGAS metrics and live demo
Learning method
- Courses by expert AI trainer in enterprise role
- Practical exercises on real 2026 business cases
- Red thread Agentic RAG project from day 1 to deployment
- Digital course support + GitHub templates provided
Methods, materials and delivery
The Training Agentic RAG 2026 - Orchestrating Autonomous AI Agents in Production 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 - Orchestrating Autonomous AI Agents in Production 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 - Orchestrating Autonomous AI Agents in Production 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 - Orchestrating Autonomous AI Agents in Production training cost?+
The price is $3,675 (USD) per participant. A detailed quote is sent within one business day.
How long is the Training Agentic RAG 2026 - Orchestrating Autonomous AI Agents in Production training?+
The training lasts 3 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?+
Advanced proficiency in LLMs (GPT-4o, Llama 3), classical RAG, async Python, vector DB basics (Pinecone, FAISS), Docker
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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