Updated
Data science & management
16 days spread over 9 months
new
AI foundations & applications
Gain a practical introduction to Machine Learning, AI, and Generative AI. Explore data architectures, visualization, and hands-on AI tools to tackle real business challenges from predicting employee attrition to optimizing decisions guided by insights from industry experts.
training informations
Short program (FC)
duration
4 days spread over 1 month
price
CHF 5’000
language
English
location
Onsite
internationally recognized
hands-on & practical course
Presentation of the program
To fully harness the potential of Machine Learning, AI and Generative AI, companies must master the entire AI value chain from raw data to actionable insights and scalable business applications.
This module provides a practical introduction to the foundations of AI. It unpacks the key architectural components and core principles in Machine Learning, AI and GenAI, and provides an outlook on the latest trends, such as agentic AI. Participants explore big data architectures, data visualization and storytelling. Through hands-on sessions with intuitive data science and AI tools, they will apply AI methods to concrete business use cases for instance, predicting employee attrition risks or optimizing operational decisions.
Real-world business applications, presented by industry experts, will further illustrate how companies apply AI and GenAI to solve complex challenges and create measurable results.
Learning objectives
- Understand and interact with the foundational architecture components of modern Big Data and AI environments.
- Explore core concepts in data visualization, ML, AI, and Generative AI through guided, hands-on sessions with advanced tools.
- Analyze real-world industry applications to understand how ML, AI, and GenAI solve complex business challenges and drive results.
Target audience
- (Future) Chief Data Officers (CDOs), senior managers and executives who are launching data initiative.
- Business intelligence (BI) and data managers, data engineers and data architects who want to manage successful data-driven transformation.
- Data champions and executives in business lines (HR, Marketing, Operations, …) who want to become more data and analytics-savvy.
About the program
This short program AI foundations & applications was built for professionals seeking to learn about fundamental concepts and then practice them trough practical exercises. There is a strong emphasis on practical application supported by academic excellence, with the use of exercises and break-out groups, industry examples and guest speakers. The fundamental notions will be presented beforehand, then supplemented and illustrated by numerous practical exercises based on real cases .
This approach will allow the participants to deploy the concepts presented during the course as well as forging a strong analytical mindset to tackle future challenges they might face on .
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What are the enrollment requirements for the CAS Data Science & Management modules?
The first module is open to all without prerequisites and serves as the natural entry point to the program. The second and third modules require having previously completed the first one. The fourth module is only offered as part of the full CAS program, allowing participants to get the most out of it.
How does AI actually work in a business context?
The program explains the basics of Machine Learning and generative AI in straightforward terms. You understand how data is transformed into useful analyses and decisions. This big-picture view helps you engage with experts and steer AI projects.
Do I need to know how to code to take this course?
No. The module is designed for managers and business professionals. You use intuitive tools and real-world cases to grasp the key principles. The goal is to develop a practical understanding, not to become a developer.
How do I use AI to solve a business problem?
You work on concrete use cases, such as predicting employee turnover or optimizing decisions. The program helps you connect a business need to a data-driven solution. This approach strengthens the relevance of your initiatives.
What is the difference between traditional AI and generative AI?
The module clarifies these concepts with simple examples. You understand what each approach can achieve in a professional setting. This distinction helps you choose the right tools.
How do I better visualize and communicate data?
You discover the principles of data visualization and storytelling. The program shows how to turn analyses into clear messages. This skill facilitates decision-making.
How do I connect raw data to strategic decisions?
The program presents the full chain, from data to business applications. You understand how to structure this transformation to create value. This coherence supports an effective AI approach.
Is this useful if I am launching a data or AI initiative?
Yes. The module gives you a solid foundation for framing your projects. You identify the key elements to consider before deploying a solution. This preparation limits early-stage mistakes.
What are the terms and conditions applicable to this course ?
The AI foundations & applications course is subject to the terms and conditions available here
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they speak about us
The quality of the training and the professionalism of the instructors are reflective of HEC Lausanne.
Benjamin Flachs
Former participant
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