Built for US teams
Payment by wire transferEnhanced confidentialityPerfect for companies with 50 to 500 employeesScheduling to fit any time zone

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 - Optimizing Autonomous Intelligent Systems

Ref: QYX581
10 people max.
From $5,775 HT / per person
On-site on request · +$540 with certification exam
5 days
Remote

Share in 2 clicks

Trusted by — schools, companies and industrial groups
Aptar
ArcelorMittal
Equans
EDF
Ubisoft
Microsoft
Aptar
ArcelorMittal
Equans
EDF
Ubisoft
Microsoft
Aptar
ArcelorMittal
Equans
EDF
Ubisoft
Microsoft
Aptar
ArcelorMittal
Equans
EDF
Ubisoft
Microsoft
Aptar
ArcelorMittal
Equans
EDF
Ubisoft
Microsoft
Aptar
ArcelorMittal
Every program built with a dedicated engineer
OpenAI
Anthropic
Mistral AI
NVIDIA
Google
Amazon Web Services
Microsoft Dynamics 365
Salesforce
ServiceNow
SAP
Oracle
Cisco
Fortinet
Palo Alto Networks
Aruba
VMware
Red Hat
Databricks
Snowflake
OVHcloud
Notion
AMD
Apple
OpenAI
Anthropic
Mistral AI
NVIDIA
Google
Amazon Web Services
Microsoft Dynamics 365
Salesforce
ServiceNow

Learning objectives

  • Master Agentic RAG architectures for professional applications
  • Develop autonomous agents integrating retrieval and reasoning
  • Design certifying workflows adapted to business needs
  • Implement IoT pipelines with Agentic RAG and MQTT
  • Optimize RAG system performance in real-world environments
  • Deploy scalable solutions for continuous training
A child walking to school with a backpack
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

  • Companies that neglect Agentic RAG lose competitiveness to AI.

  • 67% of IoT projects fail without intelligent agents.

  • This leads to costly delays and rapid obsolescence of internal skills.

  • Professionals without these skills see their career opportunities limited.

  • Acting now avoids these risks.

Allan BUSI
Allan BUSI

Learni trainer · AI expert

73%productivity gap
×3cost of inaction

Program

Module 1Theme: Agentic RAG Foundations and IoT Integration (LangChain, LlamaIndex, Sensors)

Participants discover advanced principles of Agentic RAG applied to IoT data flows. They explore the LangChain and LlamaIndex frameworks, connect sensors via MQTT, and complete practical exercises in contextual retrieval. Real-world business cases illustrate implementation, with deliverables consisting of functional scripts.

Module 2Theme: Autonomous Agents and MQTT & LoRa Protocols for Agentic RAG (AutoGen, Decision Tools)

This day deepens the creation of autonomous agents with AutoGen. Learners configure Agentic RAG flows on LoRa networks, integrate sensor data-driven decisions, and test IoT scenarios. Practical exercises result in enterprise-deployable prototypes.

Module 3Theme: Sensors in Agentic RAG Systems (Edge Computing, Data Fusion)

Focus on integrating sensors into Agentic RAG pipelines. Professionals learn real-time data fusion, optimize embeddings for IoT, and complete practical workshops. Deliverables include reasoning modules adapted to industrial constraints.

Module 4Theme: Advanced Agentic RAG Deployment and IoT Supervision (Kubernetes, Monitoring)

Learners deploy Agentic RAG solutions in production on IoT infrastructures. They configure supervision with Kubernetes tools, manage scalability, and validate professional use cases. Exercises result in tested and documented environments.

Module 5Theme: Optimization and Certification of Agentic RAG for IoT Projects (Evaluation, Iteration)

The final day focuses on optimizing Agentic RAG performance. Participants iterate on their IoT projects, integrate quality metrics, and prepare for certification. Real-world cases and group feedback reinforce transferable enterprise skills.

Evaluation method

  • Final MCQ on Agentic RAG concepts
  • Practical project evaluated continuously
  • Oral defense of the IoT deliverable

Learning method

  • Daily practical workshops
  • Personalized feedback
  • Post-training online resources
  • Peer support community

Methods, materials and delivery

The Training Agentic RAG - Optimizing Autonomous Intelligent Systems 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 - Optimizing Autonomous Intelligent Systems 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 - Optimizing Autonomous Intelligent Systems 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 - Optimizing Autonomous Intelligent Systems training cost?+
The price is $5,775 (USD) per participant. A detailed quote is sent within one business day.
How long is the Training Agentic RAG - Optimizing Autonomous Intelligent Systems 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, experience with LLM APIs, and solid foundations in RAG architectures.
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

Let's build
your next
program.

30 minutes with a learning advisor. No commitment. No sales pitch dressed up as a demo.

Reply within 24h · Vetted experts · USD invoicing · W-9 available