Decision Intelligence Training

Training Pathways in Decision Intelligence

Discover how Causal AI can improve your decision-making processes with introductory and advanced courses.

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Why train in Causal AI today?

Professionals, researchers, and decision-makers face new challenges: how to develop the right skills to make truly informed decisions?

Outdated skills

The evolution of AI is rapid: without targeted training, it's hard to distinguish hype from limits and real opportunities.

Too many tools, little clarity

Frameworks, models, and metrics change constantly: you need a guide to understand what to use and when.

Theory without practice

Much training focuses on theory, but lacks concrete application in real decision-making processes.

Whysen Academy:
learn how to use Causal AI

Educational pathways designed to help you understand, apply, and master Causal AI in your real decision-making processes.

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Solid Fundamentals

Build a clear understanding of the fundamental concepts of causality, AI, and decision making.

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Practical examples and real cases

Apply theory to concrete case studies drawn from business, research, and industry, to understand what works in practice.

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Simulations and decision scenarios

Learn to simulate interventions, strategies, and counterfactual scenarios to evaluate the impact of decisions before making them.

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Immediately usable skills

Develop skills you can bring right into your work: analysis, interpretation, and decision intelligence without needing constant help.

Why choose Whysen Academy?

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Real academic experience

Courses are designed by researchers with years of experience in Causal AI, decision-making, and recommendation systems.

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University-level teaching

We teach courses at universities: we bring the same scientific rigor to the Academy.

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Presence at international conferences

We regularly present our work at global conferences, so what we teach is always aligned with the latest methods.

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Training that bridges theory and practice

We apply research to concrete cases, so you learn how to truly use Causal AI in decision-making processes.

Available Courses

Training pathways designed by Causal AI researchers and experts to help you develop solid and applicable skills.

Decision Intelligence
4 Business

Basic 12 Hours

Discover how to use causal models and Decision Intelligence tools to support strategic decisions in your company.

groupsManagers, professionals, and decision makers
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Decision Making
4 Data Scientists

Intermediate 20 Hours

Dive deep into Causal AI techniques, data analysis, and predictive modeling to create useful and reliable insights.

groupsData scientists and data analysts
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Causal AI and
Advanced Applications

Advanced 32 Hours

Explore the theoretical foundations of Causal AI and advanced applications in simulations, optimization, and research.

groupsResearchers, PhDs, and AI professionals
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Can't find the course for you? We also offer personalized programs for companies, teams, or universities.

Do you want to train in Decision Intelligence and Causal AI?

Access our courses and develop new skills essential for the future.

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FAQ

What courses are available in the Academy?

We offer courses on Decision Intelligence and Causal AI aimed at managers, decision-makers, data scientists, and researchers. Courses range from basic to advanced levels.

Are the courses suitable for those with no Causal AI experience?

Yes, basic courses are designed for those starting from scratch and guide you step-by-step through the fundamental concepts.

How long do the Academy courses last?

Duration varies by level, generally from 12 to 32 hours. Courses are structured in flexible modules.

Are the courses online or in-person?

Courses are designed to be in-person to improve learning and engagement for all participants.

Is it possible to request custom pathways for my team or company?

Yes, we offer tailored training programs for companies, teams, or universities, adapting content and duration to specific needs.

Who can attend the advanced courses?

Advanced courses are intended for researchers, PhDs, and AI professionals who want to deepen theory and practical applications.