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.
Training CrewAI - Orchestrating High-Performing Multi-Agent AI Agents
Specialist course · Minimum level required
Trusted by — schools, companies and industrial groups
41,259 programs · 25 countries
Every program built with a dedicated engineer
Companies: Aptar, ArcelorMittal, Equans, EDF, Ubisoft, Microsoft and Atos.
CrewAI training objectives
- Master the CrewAI multi-agent architecture for professional certifying workflows
- Develop autonomous and collaborative intelligent agents in a business environment
- Design optimized crews integrating LLM tools and external APIs
- Implement complex tasks with hierarchy and persistent memory
- Optimize multi-agent system performance for production
- Deploy scalable and monitored CrewAI applications
- Acquire certifying skills in professional AI automation
Program
CrewAI curriculum: 2 modules over 2 days
Module 1 : CrewAI: Configure Advanced Agents and Tasks (LLM, Custom Tools, Hierarchical Workflows)
Dive into configuring advanced CrewAI agents by integrating LLMs like GPT-4 or Llama3, defining specialized roles with detailed backstories and precise goals, creating sequential or parallel tasks via the CrewAI Task framework, practical exercises on a real business case such as automated customer data analysis, developing custom tools for web scraping and NLP processing, iterative testing with detailed logging and production of usable intermediate reports, while fostering smooth collaboration between agents for immediate professional results.
Module 2 : CrewAI: Orchestrate Crews and Production Deployment (Processes, Memory, Monitoring, Scalability)
Scale up with orchestration of complex multi-agent crews, implementing delegator-worker-manager hierarchies and vector memory for persistent context using FAISS or Pinecone, integrating external APIs like SerpAPI or no-code tools, exercises on a red thread project for complete marketing automation from lead to conversion, performance optimization via batching and caching, deployment on cloud with Docker and FastAPI, monitoring setup with LangSmith for traceability, finalization of a production-ready deliverable with interactive dashboard, demonstrating the concrete business value of CrewAI in enterprise settings.
How CrewAI skills are assessed
- Advanced technical MCQ on CrewAI and multi-agents at the end of the training
- Evaluation through development of an autonomous crew on a business case
- Project defense with code review by the expert trainer
How the CrewAI course is taught
- Courses led by a CrewAI expert trainer active in professional practice
- Practical exercises on real business cases and authentic datasets
- Progressive multi-agent red thread project over two days
- Complete course materials, source codes, and LLM resources provided to participants
CrewAI training: access and practical arrangements
The Training CrewAI - Orchestrating High-Performing Multi-Agent AI Agents program is delivered onsite or remote (blended-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 - Orchestrating High-Performing Multi-Agent 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 CrewAI - Orchestrating High-Performing Multi-Agent 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
Registration is possible up to 48 business hours before the start of training. All our programs are built for corporate L&D budgets and delivered onsite or remotely.
The Learni story
Founded by engineers and learning experts, Learni's mission is to make high-impact tech training accessible to teams everywhere. We work remotely with organizations across the US and Canada, in your time zone, to help teams upskill fast.
Our method
How Learni guarantees the quality of your CrewAI training
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.
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.
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.
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.
Our social commitment
A school kit donated to a child for every training booked
To fight inequalities in access to education, Learni donates a complete school kit to a child in need for every training booked. You build your skills, a child heads back to school.
- Backpack, notebooks and essential supplies
- Distributed through our partner charities
- Included, at no extra cost to you
FAQ
CrewAI: frequently asked questions
Which tools are used in CrewAI training?+
Hands-on work runs on LLM, custom Tools, hierarchical Workflows, processes, memory and monitoring. Those tools come from the CrewAI program itself, delivered on site over 2 days, so participants practise on the stack they will use at work.
What can participants do after CrewAI training?+
They can master the CrewAI multi-agent architecture for professional certifying workflows, develop autonomous and collaborative intelligent agents in a business environment and design optimized crews integrating LLM tools and external APIs. Those are the stated objectives of the CrewAI program at Advanced level, checked by the end-of-session assessment.
What does the CrewAI program cover, day by day?+
Day 1: CrewAI: Configure Advanced Agents and Tasks (LLM, Custom Tools, Hierarchical Workflows). Day 2: CrewAI: Orchestrate Crews and Production Deployment (Processes, Memory, Monitoring, Scalability). The CrewAI program runs over 2 days, delivered on site.
How is CrewAI training assessed?+
Assessment relies on advanced technical MCQ on CrewAI and multi-agents at the end of the training, evaluation through development of an autonomous crew on a business case and project defense with code review by the expert trainer. Learni issues a completion certificate together with the individual assessment report at the end of the CrewAI program, which an L&D team can file as evidence.
How much does CrewAI training cost per participant?+
CrewAI training costs $3,150 per participant. For an in-company team, the flat rate starts at $5,723 for the whole group, up to 8 people. The detailed quote, sent within one business day, adjusts the amount to the format and how far the syllabus is tailored to your team.
How long does CrewAI training take?+
2 days, available live online (US time zones) or on-site at your offices. Half-day tracks spread over several weeks are possible so the team stays operational.
Who pays for CrewAI training?+
Most US teams pay directly through their company L&D or training budget. Learni invoices in US dollars and accepts bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
What do participants need to know before CrewAI training?+
Advanced Python mastery, experience with LLMs such as OpenAI GPT or Llama, and knowledge of LangChain or AI agent frameworks.
Is a certificate issued after CrewAI training?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report. Learni is a certified training provider and prepares for third-party certifications, but does not award them itself.
Does Learni provide the equipment for CrewAI training?+
No. A computer and a stable internet connection are required for each participant. Learni provides the learning platform, the trainer and all course materials.
Your professional training, anywhere
Let's build your CrewAI learning path.
30 minutes with a learning advisor. No commitment. No sales pitch dressed up as a demo.
Reply within 24h · Vetted experts · USD invoicing · W-9 available
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On-site & remote
CrewAI training in your city
Available on-site and remotely. Pick your city to see the local training center.