Artificial Intelligence and Machine Learning for IT Professionals
Artificial Intelligence and Machine Learning for IT Professionals
This course aims to provide participants with basic and advanced skills in the field of artificial intelligence (AI) and machine learning (ML). Basic computer and programming skills are required.
- Category: Artificial Intelligence
- Price: 480 €
- Location: Munich
About This Course
Participants will gain knowledge in artificial intelligence algorithms, machine learning, deep learning, and data analysis. Artificial intelligence and machine learning are rapidly developing technologies that are revolutionizing many industries worldwide. This course will teach participants how artificial intelligence and machine learning work, how they are programmed, and how they are applied. Participants will gain knowledge on topics such as data preprocessing, model creation, evaluation, and application.
Learning Outcomes
- Apply data preprocessing and analysis techniques.
- Create and evaluate supervised and unsupervised learning models.
- Create and evaluate supervised and unsupervised learning models.
- Acquire knowledge about deep learning techniques and applications.
- Perform model optimization and hyperparameter tuning.
- Develop and implement artificial intelligence and machine learning projects.
- Debug and troubleshoot artificial intelligence and machine learning systems.
- Create and manage projects related to artificial intelligence and machine learning.
Daily Program
Day 1
- Introduction to the course, the institution, and the week's activities
- First step activities
- Participants introduce themselves and their institutions
- General introduction to the fields of artificial intelligence and machine learning
Day 2
- Introduction to data preprocessing techniques
- Data cleaning and formatting processes
- Data analysis and visualization
- Applied data preprocessing and analysis projects
Day 3
- Introduction to and use of supervised learning algorithms
- Regression and classification techniques
- Model creation and evaluation
- Applied supervised learning projects
Day 4
- Introduction to unsupervised learning algorithms
- Clustering and dimension reduction techniques
- Model creation and evaluation
- Applied unsupervised learning projects
Day 5
- Introduction to deep learning algorithms
- Neural networks and advanced techniques
- Model optimization and hyperparameter tuning
- Applied deep learning and model optimization projects
Day 6
- Evaluation of the training: Summary of acquired competencies, feedback, and discussion
- Issuance of the Course Participation Certificate
- Excursion and other external cultural activities
Training Dates and Locations:
Check whether your application for the training has been approved by applying for one of the specified dates. Please note that the training must reach a certain number of participants to be approved. If the required number is not reached, we will contact you to offer alternative options.
Reminder:
- Participants who attend at least 80% of the course will receive a Certificate of Attendance on Friday or Saturday.
- Training sessions are scheduled for the morning/afternoon.
- It is important that you bring your laptop.
- Changes to the program during the week are subject to the trainer's planning.
- Requests from participants must be submitted to the training center at least 4 weeks in advance.
- Please consider times outside the training program for your cultural activities. If you carry out your cultural activity at a time that coincides with training days for compelling reasons, you should be aware that no make-up training will be provided.
- The training is adapted to Erasmus+ budgets.
- For more details, please visit our website.
Upcoming Dates
| 09.03.2026 | 14.03.2026 | Open |
| 06.04.2026 | 11.04.2026 | Open |
| 11.05.2026 | 16.05.2026 | Open |
| 08.06.2026 | 13.06.2026 | Open |
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