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Training AutoGen - Automate Financial Analyses with Multi-Agent AI

Ref: XWR466
10 people max.
5500€ HT / per person
−15% from 2 people−30% from 3 people−50% from 5 people
Pay in 3 installments · +$170/day onsite · +$500 with certification exam
5 journées
distanciel

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Learning objectives

  • Master AutoGen to orchestrate AI agents in complex accounting analyses
  • Develop professional skills in multi-agent financial automation
  • Design AutoGen workflows tailored to certifying business needs
  • Implement AutoGen tools for precise and rapid budget forecasting
  • Optimize management control processes via collaborative AI agents
  • Deploy scalable AutoGen solutions in financial production environments
  • Acquire certification in AutoGen training to enhance enterprise expertise

The Learni story

Founded by passionate learning and innovation experts, Learni's mission is to make professional training accessible to everyone, anywhere in the world. Our team operates in major hubs — London, New York, Boston — and internationally, to support talents and organizations in upskilling.

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.

Fouzi Benzidane
Fouzi Benzidane

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1AutoGen Fundamentals: Multi-Agent Architecture for Accounting Tasks (Python, LLM, Flow Diagrams)

Discover the AutoGen architecture through practical exercises on Python and integrated LLMs, automating accounting reconciliation and anomaly detection, with concrete cases from company balance sheets, creation of first collaborative agents, deliverable flow diagrams, real-time debugging, for immediate mastery of expert basics in finance.

Module 2Advanced AutoGen Agents: Predictive Financial Modeling (LangChain Tools, Financial Datasets, Automated Scripts)

Dive into creating specialized AutoGen agents for cash-flow forecasting, using real company accounting datasets, LangChain integration for intelligent chaining, exercises on budget optimization, A/B testing on models, automated report generation, deliverables including deployable scripts and quantified performance analyses.

Module 3AutoGen Orchestration: Management Control Workflows (GroupChat, Finance Tools, Budget Simulations)

Configure AutoGen GroupChat for collaborative budget simulations, applied to variance analysis and financial KPIs, using tools like Pandas and Excel automation, case study on group account consolidation, practical scalability exercises, live monitoring, production of interactive dashboards as concrete enterprise deliverables.

Module 4AutoGen Optimization: Performance and Security in Finance (Fine-tuning, Secure APIs, Compliance Audits)

Optimize AutoGen agents for high performance in sensitive financial environments, via fine-tuning on encrypted accounting data, integration of secure APIs like Plaid, GDPR and IFRS compliance audits, exercises on 50% latency reduction, robustness testing, deliverables including security protocols and before/after deployment benchmarks.

Module 5AutoGen Deployment: Production and Enterprise Scaling (Docker, AWS Cloud, Certifying Final Projects)

Deploy AutoGen solutions to production via Docker and AWS, applied to real-time financial reporting, capstone projects on full management control automation, CI/CD integration, advanced monitoring with Prometheus, peer reviews, skills certification via project deliverables, preparation for immediate enterprise implementation.

Evaluation method

  • Final AutoGen project applied to real finance case, graded on efficiency and scalability
  • Expert MCQ on multi-agent orchestration and accounting optimization
  • Continuous evaluation through practical exercises and group peer-review

Learning method

  • 100% hands-on with AutoGen tools on authentic financial datasets
  • Case studies of companies that boosted productivity by 40% via AI
  • Pedagogical methods adapted for experts: challenges, internal hackathons
  • Post-training support resources: source code, reusable templates

Methods, materials and delivery

The Training AutoGen - Automate Financial Analyses with Multi-Agent AI program is delivered onsite or remote (blended-learning, e-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 - Automate Financial Analyses with Multi-Agent AI 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 - Automate Financial Analyses with Multi-Agent AI 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

Learni programs are available inter-company and intra-company, onsite or remote. Enrollments are possible up to 48 business hours before the program starts. Our programs are eligible for corporate funding paths. Contact us to discuss your training project and funding options.

Verified reviews

What our learners

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TomFormation AWS — Cloud Practitioner
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« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
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« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
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AmbreDWWM - Développement Web & Mobile React
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« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
Read all reviews
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.

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