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Training Agentic RAG 2026 - Creating High-Performing Autonomous AIs

Ref: LIP884
10 people max.
From $4,620 HT / per person
Pay in 3 installments · On-site on request · +$540 with certification exam
4 days
Remote

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Learning objectives

  • Master Agentic RAG architectures for professional AI systems
  • Develop intelligent autonomous agents in a business context
  • Implement agentic RAG workflows with 2026 tools
  • Optimize retrieval and generation for precise responses
  • Design scalable, certifiable Agentic RAG applications
  • Deploy RAG agents in production with advanced monitoring

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 1Agentic RAG 2026 Fundamentals: Principles and Architecture (LangGraph Frameworks, Vector Tools)

Dive into the advanced basics of Agentic RAG 2026 by installing a complete environment with LangGraph and Pinecone, build your first autonomous agent capable of reasoning over external data, explore routing and tool-calling patterns for intelligent decisions, perform practical exercises on real business cases such as internal document analysis, and produce a functional prototype with precision evaluation by the end of the day.

Module 2Agentic RAG 2026 Implementation: Multi-Agent Workflows (Orchestration, Persistent Memory)

Build complex Agentic RAG 2026 workflows by integrating vector memory and collaborative agents via CrewAI, simulate professional scenarios like augmented search in customer support, code custom tools for hybrid RAG retrieval, test robustness in real-time against ambiguous queries, generate concrete deliverables such as performance dashboards, and optimize feedback loops for increased agent autonomy.

Module 3Agentic RAG 2026 Optimization: Fine-Tuning and Evaluation (Metrics, 2026 LLMs)

Advance to Agentic RAG 2026 optimization with fine-tuning on models like GPT-4o or Llama 3.1, measure precision using RAGAS and custom metrics, apply reranking and query rewriting techniques on enterprise datasets, conduct practical A/B tests to compare performances, produce detailed evaluation reports, and integrate ethical safeguards for secure production deployments.

Module 4Agentic RAG 2026 Deployment: Scaling and Monitoring (Kubernetes, Observability)

Master production deployment of Agentic RAG 2026 on Kubernetes with FastAPI, configure horizontal scalability and observability via Prometheus/Grafana, simulate high loads on critical business cases like HR automation, implement CI/CD for smooth updates, generate a complete ready-to-use pipeline, and conclude with a certifying code review and evolution plan for your professional projects.

Evaluation method

  • Technical MCQ on Agentic RAG architectures
  • Development and presentation of an autonomous RAG agent
  • Practical assessment of performance metrics

Learning method

  • Sessions led by AI experts with 10 years of active experience
  • Hands-on exercises on real 2026 enterprise cases
  • Red thread Agentic RAG project from day 1 to day 4
  • Digital learning support and source code provided

Methods, materials and delivery

The Training Agentic RAG 2026 - Creating High-Performing Autonomous AIs 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 - Creating High-Performing Autonomous AIs 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 - Creating High-Performing Autonomous AIs 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 Agentic RAG 2026 - Creating High-Performing Autonomous AIs training cost?+
The individual price is $4,620 (USD). A detailed quote is sent within one business day.
How long is the Training Agentic RAG 2026 - Creating High-Performing Autonomous AIs 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?+
Proficiency in Python, basic knowledge of RAG and LLMs such as LangChain or LlamaIndex
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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