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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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Artificial Intelligence training in Glasgow in June 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Artificial Intelligence training in Mesa in September 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Explore the latest in enterprise blockchain training, focusing on Hyperledger frameworks and emerging technologies set to dominate by May 2026. Discover certification paths, trends, and career boosts.
Professional Training training in Dallas in July 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
The Training Agentic Workflows 2026 - Orchestrating Autonomous AI Agents 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.
To ensure the quality of the Training Agentic Workflows 2026 - Orchestrating Autonomous AI Agents training, Learni provides the following 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.
The assessment of skills acquired during the Training Agentic Workflows 2026 - Orchestrating Autonomous AI Agents training is carried out through:
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.
Learni training programs are available for inter-company and intra-company settings, both in-person and remote. Registration is possible up to 48 business hours before the start of training. Our programs are eligible for OPCO, Pôle emploi, and FNE-Formation funding. Contact us to discuss your training project and funding possibilities.
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.
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.
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.
Target audience
AI Engineers, ML developers, AI project managers seeking to upskill on agentic workflows
Prerequisites
Mastery of Python, AI frameworks like LangChain or AutoGen, and advanced LLM APIs
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