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Training CrewAI 2026 - Orchestrating Expert Multi-Agent AI Systems

Ref: JVN170
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 journées
distanciel

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Learning objectives

  • Master the CrewAI 2026 architecture to design autonomous AI agent teams in enterprise settings.
  • Develop professional skills in multi-agent orchestration through real-world certifying case studies.
  • Design and optimize intelligent workflows with CrewAI to boost productivity.
  • Implement advanced Prompt Engineering strategies in dynamic crews.
  • Deploy scalable CrewAI 2026 systems in secure professional environments.
  • Evaluate and refine AI agent performance for optimal enterprise results.
  • Certify your multi-agent Artificial Intelligence skills through our expert 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 1CrewAI 2026: Multi-Agent Architecture and Advanced Tools (Python, LangChain, LLMs)

Dive into the modular architecture of CrewAI 2026, configure specialized agents with precise roles, integrate LangChain for complex reasoning chains, complete practical exercises on business automation cases, test real-time agent-agent interactions, produce a first functional deliverable crew with performance metrics, and analyze logs for immediate optimization in professional training.

Module 2CrewAI 2026: Expert Prompt Engineering and Agent Hierarchies (Vector Tools, RAG)

Optimize advanced prompts for CrewAI 2026 using expert Prompt Engineering techniques, structure manager-worker agent hierarchies, integrate vector databases for dynamic RAG, develop exercises on real enterprise scenarios like customer data analysis, deploy collaborative crews with shared tools, generate automated reports, and refine behaviors through iterative feedback loops in certified remote training.

Module 3CrewAI 2026: Custom Tools and Deep Learning Integrations (APIs, TensorFlow)

Create custom tools for CrewAI 2026 tailored to professional needs, integrate Deep Learning models via TensorFlow or Hugging Face, connect external APIs for hybrid workflows, simulate complex projects like AI code generation or predictive analysis, test crew resilience under load conditions, produce Dockerized deliverables ready for production, and measure efficiency with integrated dashboards in this expert training.

Module 4CrewAI 2026: Scalable Deployment and Security (Kubernetes, Advanced Monitoring)

Deploy CrewAI 2026 crews scalably on Kubernetes or cloud providers, implement security protocols for sensitive data, configure real-time monitoring with Prometheus, conduct fault-tolerance exercises on critical business cases, optimize costs via intelligent auto-scaling, generate automated CI/CD pipelines, and validate live performance for seamless professional integration and certification.

Module 5CrewAI 2026: Advanced Optimization and Real Projects (Benchmarking, Business Cases)

Refine CrewAI 2026 crews via expert benchmarking and A/B testing, apply to real projects like R&D orchestration or AI customer support, integrate business KPI-driven metrics, develop a personal portfolio with source code and demos, evaluate potential ROI for the enterprise, complete skill certification via peer review, and plan post-training deployment with a personalized Artificial Intelligence roadmap.

Evaluation method

  • Interactive quizzes and daily challenges to validate expert skills.
  • Final multi-agent project evaluated by our Qualiopi-certified trainers.
  • Competency attestation delivered with a portfolio of deployed crews.

Learning method

  • Practical projects in remote settings on shared cloud environments.
  • Live tutoring with unlimited replay for flexible revisions.
  • Exercises based on real business cases and professional datasets.
  • Personalized 1-to-1 feedback to maximize skill development.

Methods, materials and delivery

The Training CrewAI 2026 - Orchestrating Expert Multi-Agent AI Systems 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 CrewAI 2026 - Orchestrating Expert Multi-Agent AI 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 CrewAI 2026 - Orchestrating Expert Multi-Agent AI 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

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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