Specialist Course in Deep Learning One step ahead into the digital future

The specialist course 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.

The program at a glance

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

Other advantages:

  • Accessible learning methods: Our lecturers are experienced experts in the field with the skills to communicate complex concepts in accessible and practical teaching units. 
  • 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. 
  • Networking opportunities: Meet like-minded people and expand your professional network.

Facts

Start

29 November 2024

End

13 December 2024

Application deadline

1 week before the start of the program

Duration

4 days

Course costs

CHF 2500.–

Registration fee and course materials are included. Ten percent discount is granted to members of Lucerne University of Applied Sciences and Arts Alumni. SVEB continuing education vouchers are accepted.

Head
Degree

Course certificate

Type

Continuing and executive education programmes

Tuition times

Friday, 29th November 2024, 09:15 to 16:45
Saturday, 30th November 2024, 09:15 to 16:45
Friday, 6th December 2024, 09:30 to 17:00
Friday, 13th December 2024, 09:15 to 16:45

Language of instruction
  • English
Venue

Rotkreuz

Contact hours

32

Lecturers

Dr. Alessandro Motta
Dr. Mark Rowan 

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

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

Provider(s)

Computer Science and Information Technology
Continuing Education

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

The Specialist Course in Deep Learning is Part of the CAS Machine Learning.