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 AutoGen 2026 to design professional, certifiable multi-agent systems
- Develop complex conversations between autonomous AI agents
- Implement custom tools and API integrations in AutoGen
- Optimize agent performance for scalable enterprise workloads
- Deploy AutoGen 2026 pipelines in production with advanced monitoring
- Build collaborative AI applications boosting professional productivity
- Acquire certifiable skills in multi-agent orchestration for enterprise
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 1AutoGen 2026: Advanced Agent Architecture and Environment Setup (Python, Hybrid LLMs)
Dive into the modular architecture of AutoGen 2026, install the environment with pip and conda for secure enterprise setups, configure user-proxy and assistant agents with local models like Llama3 or cloud GPT-4o, complete practical exercises on initial agent dialogues, test automatic debugging scenarios, produce a first functional multi-agent workflow with detailed logging, immediately leverage your skills in collaborative AI.
Module 2AutoGen 2026: Multi-Agent Conversations and Dynamic State Management (GroupChat, Persistent State)
Explore GroupChatManager to orchestrate debates between specialized agents, implement advanced state management with vector memory and HNSW for rich contextual interactions, develop concrete cases like automated R&D brainstorming or collaborative data analysis, integrate custom callbacks for intelligent routing, optimize turn-taking with dynamic priorities, build and deploy a multi-agent prototype solving a real business problem, measure efficiency via built-in metrics.
Module 3AutoGen 2026: Custom Tools and External Integrations (API, LLM Tools, Retrieval-Augmented)
Create custom Python tools for AutoGen agents, integrate third-party APIs like OpenAI Tools or vector databases such as Pinecone for advanced RAG, configure tool-enabled agents for complex tasks like automated web scraping or mathematical optimization, test on enterprise projects with robust error handling, develop a hybrid agent combining code execution and semantic search, evaluate performance with AutoGen benchmarks, produce reusable deliverables boosting your professional AI productivity.
Module 4AutoGen 2026: Production Deployment and Scalability Optimization (Docker, Kubernetes, Monitoring)
Deploy AutoGen 2026 pipelines in Docker containers for scalability, orchestrate with Kubernetes and Ray for massive workloads, implement monitoring with Prometheus and distributed tracing, optimize LLM costs via caching and intelligent batching, simulate cloud deployments on AWS or Azure with CI/CD GitHub Actions, finalize a certifiable red thread project solving a business challenge, receive expert feedback and post-training action plan for immediate enterprise integration.
Evaluation method
- Advanced MCQ on AutoGen architectures and use cases
- Evaluation through development of an autonomous multi-agent workflow
- Project defense with live demo and code review
Learning method
- Sessions led by production AutoGen experts
- Hands-on exercises on real enterprise AI cases
- Evolving red thread project over 4 days with iterations
- Course support PDF/video and shared GitHub repo
Methods, materials and delivery
The Training AutoGen 2026 - Orchestrating Advanced 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 AutoGen 2026 - Orchestrating Advanced 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 AutoGen 2026 - Orchestrating Advanced 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.
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 AutoGen 2026 - Orchestrating Advanced Multi-Agent AI Agents training cost?+
The individual price is $5,880 (USD). A detailed quote is sent within one business day.
How long is the Training AutoGen 2026 - Orchestrating Advanced Multi-Agent AI Agents training?+
The training lasts 4 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?+
Advanced mastery of Python, LLMs like GPT-4, multi-agent frameworks such as LangChain or CrewAI
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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