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.

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 Relevance AI - Deploying Autonomous AI Agents in the Enterprise training are: Advanced proficiency in Python, REST/GraphQL APIs, ML frameworks like LangChain, and AI cloud deployment. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Training Relevance AI - Deploying Autonomous AI Agents in the Enterprise training is available in distanciel. The format can be adapted to your needs (inter, intra, custom).

Training Relevance AI - Deploying Autonomous AI ... | 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 Relevance AI - Deploying Autonomous AI Agents in the Enterprise 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 Relevance AI - Deploying Autonomous AI Agents in the Enterprise 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 Relevance AI - Deploying Autonomous AI Agents in the Enterprise 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 objectives

Master Relevance AI to orchestrate professional certifying AI workflows

Develop autonomous AI agents tailored to enterprise needs

Implement advanced RAG and multi-source data integrations

Optimize AI agent performance with scaling and monitoring

Design secure Relevance AI deployments in production

Acquire certifying skills for enterprise digital transformation

Training program

Module 1Relevance AI Architecture: Modeling Advanced AI Agents (workflows, tools, integrated APIs)

Dive into the expert architecture of Relevance AI by configuring complex workflows, integrating tools like LangChain and Pinecone for custom RAG, modeling multi-task agents with persistent memory, complete exercises on real enterprise cases such as customer automation, produce a first functional agent with unit tests and full documentation to validate your immediate professional skills.

Module 2Autonomous Relevance AI Agents: Fine Programming and Reasoning (LLM chaining, custom tools)

Build intelligent AI agents in Relevance AI using advanced LLM chaining, integrate custom tools like SerpAPI and vector databases, simulate complex enterprise scenarios such as augmented search and automated decision-making, perform rapid iterations with feedback loops, generate deliverables including monitoring dashboards and efficiency reports, transform your ideas into scalable production-ready solutions.

Module 3Relevance AI Integrations: Connecting Enterprise Data (external APIs, SQL/NoSQL databases, streaming)

Master seamless Relevance AI integrations with enterprise ecosystems, connect third-party APIs like Salesforce or Google Cloud, manage real-time data streams via Kafka and vector stores, apply to concrete cases of predictive analysis and customer personalization, develop secure connectors with OAuth authentication, produce a complete tested pipeline in real conditions to boost team productivity.

Module 4Relevance AI Optimization: Scaling and Security (fine-tuning, monitoring, GDPR compliance)

Optimize your Relevance AI agents for high-load environments by implementing model fine-tuning and intelligent caching, deploy advanced monitoring with Prometheus and Grafana, integrate security guardrails against injections and biases, test scalability on Kubernetes clusters, analyze performance metrics on enterprise thread projects, obtain robust production configurations reducing operational costs by 50% right away.

Module 5Production Deployment of Relevance AI: CI/CD and Certifying Projects (Docker, hybrid cloud, support)

Finalize professional Relevance AI deployments via CI/CD pipelines with GitHub Actions and Docker, migrate to hybrid AWS/Azure clouds, secure with secrets management and compliance audits, defend the thread project before experts, integrate field feedback for final iterations, receive certification of skills and post-training resources to implement immediately in the enterprise, transform your knowledge into tangible ROI.