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.
Learning objectives
- Master agentic workflows 2026 for autonomous professional processes
- Develop collaborative AI agents in enterprise with cutting-edge tools
- Design scalable architectures for certifiable agentic workflows
- Implement error handling and optimization for AI agents
- Deploy agentic workflows 2026 in secure production environments
- Optimize agent performance for enterprise-grade capabilities
- Integrate agentic workflows into existing ecosystems
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.
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.
Program
Module 1Agentic Workflows 2026 Fundamentals: Modeling Autonomous Agents (LangGraph, CrewAI, 2026 Protocols)
Dive into the advanced concepts of agentic workflows 2026, model your first autonomous AI agents with LangGraph and CrewAI, configure reasoning tools like ReAct and Plan-and-Execute, perform practical exercises on real enterprise cases such as data pipeline automation, test multi-agent interactions in real-time, produce a functional prototype with performance metrics, and benefit from personalized code review for immediate upskilling.
Module 2Agentic Workflows 2026 Architecture: Integrating LLMs and External Tools (OpenAI API, Vector Tools, Persistent Memory)
Build complex agentic workflows 2026 architectures by integrating advanced LLMs via OpenAI API and Anthropic, add vector tools like Pinecone for dynamic RAG, implement persistent memory with Redis, develop multi-agent workflows for collaborative enterprise tasks, simulate critical scenarios like operational crisis management, generate scalable deliverables with integrated monitoring, and optimize execution costs for profitable professional applications.
Module 3Agentic Workflows 2026 Deployment: Securing and Scaling in Production (Docker, Kubernetes, Observability with LangSmith)
Master the deployment of agentic workflows 2026 by containerizing with Docker and orchestrating via Kubernetes, integrate advanced observability from LangSmith to trace agent decisions, configure securities like OAuth authentication and ethical guardrails, test under real enterprise conditions with high load, deploy a complete red thread project on AWS or GCP cloud, analyze metrics for rapid iterations, and leave with a production-ready system certifying your new skills.
Evaluation method
- Advanced MCQ on agentic workflows 2026 at the end of the training
- Evaluation through development of a complete agentic workflow
- Defense of the red thread project with live demo
Learning method
- Sessions led by active AI experts specializing in agentic workflows
- Practical exercises based on real 2026 enterprise cases
- Evolving red thread project across the 3 days
- Detailed course materials and open-source resources
Methods, materials and delivery
The Training Agentic Workflows 2026 - Orchestrating Autonomous 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 Agentic Workflows 2026 - Orchestrating Autonomous 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 Agentic Workflows 2026 - Orchestrating Autonomous 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.
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.
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.
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FAQ
Frequently asked questions
How much does the Training Agentic Workflows 2026 - Orchestrating Autonomous AI Agents training cost?+
The individual price is $3,859 (USD). A detailed quote is sent within one business day.
How long is the Training Agentic Workflows 2026 - Orchestrating Autonomous AI Agents training?+
The training lasts 3 journées, available live online (US time zones) or on-site at your offices.
How is this training paid for?+
Most US teams pay directly through their company (L&D or training budget). We invoice in US dollars and accept bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
Are there any prerequisites?+
Mastery of Python, AI frameworks like LangChain or AutoGen, and advanced LLM APIs
Is a certificate delivered at the end?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report.
Does Learni provide the equipment?+
No. A computer and stable internet connection are required for the participant. Learni provides the educational platform, the trainer and all course materials.
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