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  • Teaching objectives: Advanced knowledge modeling, machine learning and analysis methods with Bayesian networks and BayesiaLab
  • Length: 3 days
  • Required Level: Participants in the Advanced Course are required to have completed the Introductory Course.
  • Teaching methods: Tutorials with practical exercises using BayesiaLab plus plenty of one-on-one coaching
  • Trainer: Dr. Lionel Jouffe, CEO, Bayesia SAS.
  • Training materials: A printed tutorial (approx. 200 slides), plus a memory stick containing numerous exercises and white papers
  • Bayesian network Software: Bayesia provides all trainees with an unrestricted 60-day license of BayesiaLab Professional Edition, so they can participate in all exercises on their own laptops
  • Cost: 2100 Euros/Trainee. Discounts are available for groups of trainees of the same company. A special academic discount of 50% is also available for students and teachers of accredited educational institutions. 


The registration is complete upon upon payment of the fee by Bank Transfer, or Credit Cards (Mastercard, Visa, or Carte Bleue), in Euros. Visit the BayesiaLab Store to get the prices corresponding to the type of your organization and number of seats your are interested in.

Training Program

Day 1

Localtab Group
titleModeling by Brainstorming

  • Bayesia Expert Knowledge Elicitation Environment
    • Interactive
    • Batch
    • Analysis of Expert Assessments
    • Sensitivity Analysis of the Votes
  • Probability Table Analysis
  • Parameter Sensitivity Analysis
titleInfluence Diagrams

  • Context
  • Utility Nodes
  • Decision Nodes
titleTemporal Dimension

  • Context
  • Hidden Markov Chain
  • Unfolded Dynamic Bayesian Networks
  • Compact Dynamic Bayesian Networks
  • Network Temporalization
  • Temporal Forecast