SAS Deep Learning One step ahead into the digital future

This program offers an introduction to deep learning and teaches how neural networks can add value in a professional context. Participants learn how to overcome complex challenges by using the technology.

Overview

The course Deep Learning offers you the opportunity to get to know the world of Deep Learning. Deep learning is a branch of machine learning that is based on artificial neural networks and uses large amounts of data to recognize and learn complex patterns and relationships.

The course shows how artificial intelligence is shaping the future. You will learn how to use the technology in your professional environment. We will guide you step by step through the basics of deep learning.

As a participant, you will deal with the implementation of neural networks with TensorFlow. Hands-on provide practical reference. The course also includes training and validation strategies for neural networks. Participants learn how to find the right neural network parameters for specific problems.

The specialist course offers: 

  • You learn how to use deep learning in real situations to solve specific problems and to develop innovative solutions.
  • As a graduate, you are able to implement and train your own neural networks (e. g. for classification).
  • You will understand for which applications neural networks can be used.
More information

More advantages:

  1. Accessible learning methods: Our lecturers are experienced experts in the field with the skills to communicate complex concepts in accessible and practical teaching units. 
  2. Career prospects: No matter whether you wish to consolidate existing skills or if you are new to the subject: this specialist course will give you new perspectives. 
  3. Networking opportunities: Meet like-minded people and expand your professional network.

Academic Level: This continuing education program is offered at Master’s level (EQF Level 7-8 / NQF-HS 7-8) and corresponds to a postgraduate qualification within the Bologna framework.

Facts

Date

November 14, 2025 - November 22, 2025

Duration

4 days

Course costs

CHF 3000.–

Registration fee and materials are included. 10% discount is granted to members of Premium-Alumni. SVEB continuing education vouchers are accepted.

Head
Information events
Degree

Short Advanced Studies Hochschule Luzern/FHZ in Deep Learning or course confirmation

Type

SAS

ECTS

3

Tuition times

Friday, November 14, 2025, 09:15 - 16:45
Saturday, November 15, 2025, 09:15 - 16:45
Friday, November 21, 2025, 09:15 - 16:45
Saturday, November 22, 2025, 09:15 - 16:45

Language of instruction
  • English
Venue

Rotkreuz

Contact hours

32

Target group

The specialist course in Deep Learning is aimed at a diverse target group of specialists and interested parties.

  • Tech enthusiasts: People interested in technology without extensive prior knowledge of deep learning will get the perfect introduction to the subject in this program. It will allow them to acquire practical skills and provide an understanding of the basicsfundamentals.
  • People in technical professions wishing to further develop their deep learning skills will find this course provides a well-structured and practical environment to deepen their knowledge.
  • Specialists from non-tech areas: Managers, marketing experts, entrepreneurs and specialists wishing to harness, and learn more about, the transformational power of AI within their industry. The program is designed to make the basics of deep learning accessible. 
  • Entrepreneurs and innovators looking for novel solutions to improve their business processes.
  • Students and researchers preparing for a career in the field of artificial intelligence.  
Requirements

Tertiary-level degree (ETH/university, university of applied sciences or similar) plus at least two years of professional experience. If you are unsure what kind of diploma you have, try our Continuing and Executive Education ABC. There are no admission criteria for our specialist courses (no-ECTS).

We expect prior skills in Python programming and basic experience in data handling.

Academic Level: This continuing education program is offered at Master’s level (EQF Level 7-8 / NQF-HS 7-8) and corresponds to a postgraduate qualification within the Bologna framework.

Provider(s)

Computer Science and Information Technology

Methodology

The specialist course in Deep Learning applies varied methodologies that transcend conventional classroom teaching.

  • Supervised self-study: Participants receive high-quality learning materials and resources that allow them to learn at their own pace. Highly qualified tutors are available to discuss questions and provide guidance and support throughout the course.
  • Practical transfer projects allow for the participants to directly apply the skills acquired in their professional environment. 
  • Specialization projects: Participants also have the chance to specialize in thematic areas of relevance to their professional development. This creates needs-based expertise and strengthens the applicability of skills in different contexts.
  • Collaborative learning: Through group projects and group discussions, we foster collaboration among, and the exchange of ideas between, participants. This creates a dynamic learning environment in which diverse perspectives are being considered. 
Remarks
Merkblatt Neuregelung Steuerabzug Weiterbildungskosten ab 2016 

This programm can also be completed as a specialist course. In this case, no record of achievement is required, you will not earn any ECTS credits.