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Training AutoGen - Orchestrating High-Performance Multi-Agent AI Systems

Ref: WDJ137
10 people max.
From $6,431 HT / per person
Pay in 3 installments · On-site on request · +$540 with certification exam
5 days
Remote

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Learning objectives

  • Master AutoGen to develop professional multi-agent workflows
  • Design advanced GroupChats and orchestrate complex interactions
  • Implement custom tools and API integrations in AutoGen
  • Optimize AI agent performance for enterprise deployments
  • Deploy scalable and secure AutoGen applications in production
  • Develop certifiable skills in autonomous conversational agents

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.

Imed BEN AMOR
Imed BEN AMOR

Learni trainer · Development expert

73%productivity gap
×3cost of inaction

Program

Module 1AutoGen Architecture: Configuring Advanced Agents and Environments (LLMs, Python Tools)

Installation of AutoGen with advanced dependencies, creation of specialized agents connected to LLMs like GPT-4 or Llama, definition of roles and capabilities via custom Python code, exercises on real business scenarios like collaborative data analysis, production of a first functional multi-agent workflow with integrated logging and monitoring for professional traceability.

Module 2AutoGen GroupChat: Orchestrating Dynamic Multi-Agent Conversations (Roles, Moderation)

Dive into GroupChatManager to manage intelligent agent debates, implementation of moderation rules and adaptive speaker selection, practical workshops on complex cases like business problem-solving in AI teams, development of scripts for smooth human-agent interactions, delivery of a tested conversational prototype with performance metrics to evaluate effectiveness in professional contexts.

Module 3AutoGen Tools and Integrations: Coding Custom Functions and External APIs

Development of custom tools via RegisterTool for tasks like web scraping or ML calculations, connecting AutoGen agents to REST APIs and SQL/NoSQL databases, guided exercises on enterprise workflow automation such as analytical report generation, real-time debugging with detailed traces, creation of reusable deliverables like an agent toolkit to accelerate internal AI projects.

Module 4AutoGen Optimization: Performance, Scalability, and Advanced Debugging (Caching, Parallelism)

LLM call optimization techniques with caching and batching in AutoGen, setting up parallelism for concurrent agents, workshops on profiling and latency reduction in high-load scenarios, robust error handling and retry mechanisms, production of an optimized application with quantified benchmarks demonstrating 50% speed gains for critical enterprise deployments.

Module 5AutoGen Deployment: Secure Production and Red-Thread Projects (Docker, Cloud)

Containerization of AutoGen workflows with Docker and deployment on AWS or Azure, securing API keys and secret management, finalization of the red-thread project on a business case like a multi-task virtual assistant, collective code review and end-to-end tests, delivery of a production-ready package with complete documentation and maintenance plan for immediate team integration.

Evaluation method

  • Technical MCQ on advanced AutoGen concepts
  • Evaluation through practical projects and code reviews
  • Presentation of the personalized multi-agent workflow

Learning method

  • Sessions led by practicing AutoGen experts
  • Hands-on exercises on real enterprise AI cases
  • Evolving red-thread project over 5 days
  • Detailed training materials and provided source codes

Methods, materials and delivery

The Training AutoGen - Orchestrating High-Performance Multi-Agent AI Systems 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 - Orchestrating High-Performance Multi-Agent AI Systems 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 - Orchestrating High-Performance Multi-Agent AI Systems 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.

Step 1

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.
Step 2

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.
Step 3

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.
Step 4

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.

FAQ

Frequently asked questions

How much does the Training AutoGen - Orchestrating High-Performance Multi-Agent AI Systems training cost?+
The individual price is $6,431 (USD). A detailed quote is sent within one business day.
How long is the Training AutoGen - Orchestrating High-Performance Multi-Agent AI Systems training?+
The training lasts 5 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, LLM APIs (OpenAI, Hugging Face), and AI frameworks like LangChain
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.
On-site & remote

This training across cities

Available on-site and remotely. Pick your city to see the local training center.

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