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Training Relevance AI - Deploying Autonomous Expert AI Agents

Ref: UJV567
10 people max.
5500€ HT / per person
−15% from 2 people−30% from 3 people−50% from 5 people
Pay in 3 installments · +$170/day onsite · +$500 with certification exam
5 days
in-person

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Learning objectives

  • Master the advanced architectures of Relevance AI for developing autonomous AI agents in certified professional training
  • Develop expert skills in prompt engineering applied to Relevance AI for ultra-precise responses
  • Design and integrate deep learning workflows in Relevance AI for predictive analytics in business
  • Implement scalable automations with Relevance AI, boosting professional productivity
  • Optimize AI agent performance through hyperparameter tuning and advanced monitoring techniques
  • Deploy Relevance AI solutions in production environments, secure and certified for the enterprise
  • Evaluate the business impact of AI deployments for measurable ROI in certified training

The Learni story

Founded by passionate learning and innovation experts, Learni's mission is to make professional training accessible to everyone, anywhere in the world. Our team operates in major hubs — London, New York, Boston — and internationally, to support talents and organizations in upskilling.

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.

Fouzi Benzidane
Fouzi Benzidane

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1Relevance AI: Advanced Architectures and Autonomous Agents (deep learning frameworks, custom APIs)

Dive into the expert foundations of Relevance AI with an in-depth analysis of hybrid neural architectures, configure your first autonomous AI agents via advanced prompt engineering, integrate pre-trained deep learning models like GPT and Llama, perform practical exercises on real enterprise datasets, produce a prototype agent capable of analyzing complex data streams in real-time, and validate performance via precise metrics for immediate skill enhancement.

Module 2Relevance AI: Expert Prompt Engineering and Fine-Tuning (optimization tools, business cases)

Deepen expert-level prompt engineering in Relevance AI, test multi-step prompt chains for complex tasks like AI code generation, apply fine-tuning to custom models with proprietary datasets, simulate real business scenarios such as customer automation, generate actionable deliverables like predictive reports, measure effectiveness via advanced benchmarks, and iterate on improvements for certified professional skills in autonomous AI.

Module 3Relevance AI: Integrations and Hybrid Workflows (enterprise APIs, Zapier, cloud scaling)

Master advanced Relevance AI integrations with enterprise tools like Salesforce, Google Workspace and AWS, build hybrid workflows combining deep learning and no-code automations, deploy AI agents connected to dynamic knowledge bases, practice on concrete business cases for sentiment analysis or churn prediction, generate interactive dashboards as deliverables, optimize latency for production performance, and secure sensitive data flows.

Module 4Relevance AI: Expert Optimization and Scaling (monitoring, hyperparameter tuning, AI security)

Optimize Relevance AI agents for enterprise scale using automated hyperparameter tuning and real-time monitoring with Prometheus, analyze bottlenecks in high-load environments, implement ethical safeguards and security measures against AI hallucinations, test on massive production simulations, produce quantified optimization reports as deliverables, integrate automatic rollback mechanisms, and prepare resilient deployments for certified professional AI expertise.

Module 5Relevance AI: Real Projects and Certification (enterprise cases, measurable ROI, final deployment)

Apply all skills in a real capstone project inspired by business challenges like sales automation or fraud detection, deploy your complete solution on Relevance AI in simulated production mode, evaluate impact via concrete KPIs such as 40% reduction in processing time, present your final deliverable to peers and instructors, obtain your Qualiopi expert certification, benefit from a post-training action plan for the enterprise, and network for advanced AI professional opportunities.

Evaluation method

  • Advanced technical quizzes on architectures and prompts
  • Capstone project with autonomous AI agent deployment
  • Peer-review evaluation and Qualiopi expert certification

Learning method

  • 100% hands-on practical exercises on Relevance AI
  • Real case studies from Fortune 500 companies
  • Individual mentoring by certified AI experts
  • Unlimited platform access post-training for 6 months

Methods, materials and delivery

The Training Relevance AI - Deploying Autonomous Expert AI Agents program is delivered onsite or remote (blended-learning, e-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 Relevance AI - Deploying Autonomous Expert AI Agents 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 Relevance AI - Deploying Autonomous Expert AI Agents 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

Learni programs are available inter-company and intra-company, onsite or remote. Enrollments are possible up to 48 business hours before the program starts. Our programs are eligible for corporate funding paths. Contact us to discuss your training project and funding options.

Verified reviews

What our learners

4.9 · +100 verified reviews
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
Read all reviews
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.

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