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 CrewAI 2026 - Orchestrating Autonomous Multi-Agent AI training are: Advanced proficiency in Python, LangChain, LLMs such as GPT-4, and experience with autonomous AI agents. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Training CrewAI 2026 - Orchestrating Autonomous Multi-Agent AI training is available in distanciel. The format can be adapted to your needs (inter, intra, custom).

Training CrewAI 2026 - Orchestrating Autonomous ... | 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 CrewAI 2026 - Orchestrating Autonomous Multi-Agent AI 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 CrewAI 2026 - Orchestrating Autonomous Multi-Agent AI 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 CrewAI 2026 - Orchestrating Autonomous Multi-Agent AI 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 the CrewAI 2026 architecture to orchestrate professional AI agent teams

Develop intelligent agents with advanced tools and persistent memory

Design scalable collaborative processes for certified enterprise projects

Implement optimized multi-agent workflows for complex automation

Deploy and monitor CrewAI crews in production with high availability

Optimize AI performance to reduce costs and accelerate deliverables

Acquire certified multi-agent skills to boost your career

Training program

Module 1CrewAI 2026 Architecture: Modeling Scalable Multi-Agent Crews (agents, tasks, hierarchy)

Dive into the new features of CrewAI 2026 with advanced environment installation, modeling hierarchical crews for real enterprise simulations, defining specialized agents with customized roles and backstories, configuring interconnected tasks with dynamic dependencies, practical exercises on a marketing automation case, producing a first functional crew tested live to validate autonomous interactions.

Module 2Advanced CrewAI Agents: Integrating Tools and Memory for Professional Autonomy (custom tools, vector stores)

Create powerful agents by integrating custom tools like external APIs and vector databases, implement long-term memory with Pinecone or Weaviate for persistent conversations, develop collaborative roles inspired by enterprise structures, test augmented search and real-time data analysis scenarios, complete an exercise on an AI customer support workflow, generate monitorable deliverables with detailed logs.

Module 3CrewAI 2026 Processes: Orchestrating Collaborative Workflows (sequential, hierarchical, router processes)

Master advanced CrewAI processes such as sequential for linear chains, hierarchical for managerial delegations, and router for intelligent routing, configure guards and callbacks for maximum resilience, apply to concrete HR or finance automation cases, develop a hybrid process with humans in the loop, evaluate performance via integrated metrics, produce a reusable blueprint for your professional certified projects.

Module 4CrewAI Deployment: Scaling in Production (Docker, Kubernetes, cloud integrations)

Scale up with Docker containerization of your crews, deployment on Kubernetes for high availability, cloud integration with AWS Lambda or Vercel for serverless, configure monitoring with LangSmith and Prometheus, optimize LLM costs via intelligent caching and batching, test deployments in CI/CD GitHub Actions, perform a complete rollout of a crew in a simulated production environment, generate dashboards for real-time tracking.

Module 5Optimization and CrewAI 2026 Projects: Complex Enterprise Cases (fine-tuning, security, measurable ROI)

Optimize your crews with prompt fine-tuning and advanced RAG, integrate security via ethical guards and bias audits, analyze ROI on real cases like supply chain optimization, develop a multi-agent red thread project for your company, review code in pair programming sessions, prepare for certification with MCQ and defense, leave with a concrete portfolio boosting your professional skills.

Evaluation method

Expert multiple-choice quiz to validate learning outcomes at the end of the training
Continuous assessment through practical exercises and code reviews
Defense of the multi-agent red thread project before the certified trainer