What is the price of the Training Agentic RAG - Advanced AI Agents for GIS training?

The price of the Training Agentic RAG - Advanced AI Agents for GIS training is 5500€ HT. This includes access to all modules, training materials and personalized support. Funding solutions are available through OPCO.

Is the training Qualiopi certified?

Yes, Learni is a Qualiopi-certified training organization. This certification guarantees the quality of our courses and enables funding through OPCO and other mechanisms.

What is the duration of the Training Agentic RAG - Advanced AI Agents for GIS training?

The Training Agentic RAG - Advanced AI Agents for GIS training takes place over 5 journées. The program is structured in progressive modules for optimal skill development.

How can I fund my training?

Our courses are eligible for OPCO funding. Learni supports you through the funding process. A personalized quote is available upon request.

What are the prerequisites for this training?

The prerequisites for the Training Agentic RAG - Advanced AI Agents for GIS training are: Advanced mastery of QGIS and ArcGIS, Python skills for GIS, basics in RAG and GPS geomatics. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Training Agentic RAG - Advanced AI Agents for GIS training is available in distanciel. The format can be adapted to your needs (inter, intra, custom).

Training Agentic RAG - Advanced AI Agents for GIS | Learni

The story of Learni

Founded by passionate advocates of learning and innovation, Learni set out to make professional training accessible to everyone, everywhere in the world. Our team works in the largest cities such as Paris, Lyon, Marseille, and internationally, to support talents and organizations in their skills development.

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Methods, approaches, and teaching resources

The Training Agentic RAG - Advanced AI Agents for GIS training is delivered in-person or remotely (blended-learning, e-learning, virtual classroom, remote in-person). At Learni, a Qualiopi-certified training organization, each program is designed to maximize skills acquisition, regardless of the training mode chosen.

The trainer alternates between demonstrative, interrogative, and active methods (through practical exercises and/or real-world scenarios). This pedagogical approach ensures concrete and directly applicable learning in the workplace.

Teaching resources provided

To ensure the quality of the Training Agentic RAG - Advanced AI Agents for GIS training, Learni provides the following teaching resources:

Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, video projector or interactive touchscreen (for remote sessions)
Training environments installed on workstations or accessible online
Course materials, practical exercises, and supplementary resources
Post-training access to materials and teaching resources

For in-house training at a location external to Learni, the client ensures and commits to having all necessary teaching materials (IT equipment, internet connection...) for the proper conduct of the training action in accordance with the prerequisites indicated in the communicated training program.

* contact us for remote feasibility** ratio varies depending on the training followed

Assessment methods

The assessment of skills acquired during the Training Agentic RAG - Advanced AI Agents for GIS training is carried out through:

During training: case studies, practical exercises, and professional scenarios
At the end of training: self-assessment questionnaire and skills evaluation by the trainer
After training: training completion certificate detailing acquired skills

Training accessibility

Learni is committed to the accessibility of its professional training programs. All our training programs are accessible to people with disabilities. Our teams are available to adapt teaching methods to your specific needs. Do not hesitate to contact us for any accommodation request.

Training access terms and deadlines

Training objectives

Master Agentic RAG architectures for professional spatial analyses

Develop autonomous agents integrating corporate GIS data with certification

Design optimized Agentic RAG workflows with QGIS and ArcGIS

Implement advanced GPS geomatics skills via AI agents

Optimize Agentic RAG performance for critical cartographic projects

Deploy scalable Agentic RAG solutions in professional GIS training

Evaluate the impact of AI agents on productivity in corporate cartography

Training program

Module 1Agentic RAG Fundamentals: Agent Modeling for GIS Data (QGIS, Python)

Discover advanced Agentic RAG principles applied to cartography, model autonomous agents with QGIS to query massive geospatial databases, complete practical exercises on integrating vector GPS data, test agentic reasoning chains on real urban spatial analysis cases, produce your first collaborative agent prototypes, consolidate with a deliverable: customized RAG architecture diagram.

Module 2Agentic RAG Integration: ArcGIS Tools and Advanced Geomatics (Hybrid Workflows)

Dive into Agentic RAG hybridization with ArcGIS Pro, configure agents for advanced raster processing in GPS geomatics, practice real-time spatial optimization simulations, integrate external APIs to enrich RAG queries, analyze complex terrestrial observation datasets, develop agentic Python scripts for GIS automations, end with a cross-validation exercise on real business scenarios.

Module 3Agentic RAG Optimization: GIS Performance and Scalability (QGIS Plugins)

Optimize your RAG agents for large GIS volumes using dedicated QGIS plugins, measure spatial accuracy metrics via advanced benchmarks, implement agentic feedback loops on dynamic GPS data, test resilience against heterogeneous datasets, explore fine-tuning vectorization techniques for thematic cartography, generate automated performance reports, deliver an operational interactive Agentic RAG dashboard.

Module 4Agentic RAG Deployment: Real Business Cases in Cartography (ArcGIS Enterprise)

Deploy Agentic RAG solutions in ArcGIS Enterprise environments for GIS teams, simulate hybrid cloud deployments with embedded GPS geomatics, manage AI agent security on sensitive data, practice use cases in territorial planning and natural risk management, integrate agentic monitoring tools, collaborate in pairs on fictional client projects, produce a complete rollout plan with estimated ROI.

Module 5Advanced Agentic RAG: Innovation and GIS Evaluation (QGIS-ArcGIS Fusion)

Synthesize by innovating with QGIS-ArcGIS fusion via multi-modal RAG agents, develop disruptive prototypes for advanced spatial prediction, evaluate via competitive group challenges on real GPS datasets, refine models for enterprise production, analyze quantified productivity gains, prepare a pitch presentation of your Agentic RAG solution, obtain a certifying skills certificate.