Artificial Intelligence and Machine Learning for IT Professionals
Face to Face Course-
Category
Artificial Intelligence
-
Duration
6 Days
-
Fee
From: 480 Euro
About 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.
Course Locations
- Munich
Course Dates
| 09.03.2026 | 14.03.2026 | Open to enrollments |
| 06.04.2026 | 11.04.2026 | Open to enrollments |
| 11.05.2026 | 16.05.2026 | Open to enrollments |
| 08.06.2026 | 13.06.2026 | Open to enrollments |
Training Dates and Locations
Check whether your application has been approved by applying on one of the specified dates. Please be aware that the training requires a certain minimum number of participants to be approved. If the required number is not reached, we will contact you and offer alternative options.
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
1. Day:- 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
2. Day:
- Introduction to data preprocessing techniques
- Data cleaning and formatting processes
- Data analysis and visualization
- Applied data preprocessing and analysis projects
3. Day:
- Introduction to and use of supervised learning algorithms
- Regression and classification techniques
- Model creation and evaluation
- Applied supervised learning projects
4. Day:
- Introduction to unsupervised learning algorithms
- Clustering and dimension reduction techniques
- Model creation and evaluation
- Applied unsupervised learning projects
5. Day:
- Introduction to deep learning algorithms
- Neural networks and advanced techniques
- Model optimization and hyperparameter tuning
- Applied deep learning and model optimization projects
6. Day:
- Evaluation of the training: Summary of acquired competencies, feedback, and discussion
- Issuance of the Course Participation Certificate
- Excursion and other external cultural activities
Reminding
- Participants who attend at least 80% of the course will receive a Certificate of Attendance on Friday or Saturday.
- Training sessions are scheduled for either the morning or afternoon.
- It is important to bring your own laptop.
- Any changes during the content week are subject to the trainers planning.
- Elemantary English (A2) required
- Requests from participants must be submitted to the training center at least 4 weeks in advance.
- Please plan your cultural activities outside of the training hours. If you participate in a cultural activity during training time due to unavoidable reasons, please note that no make-up sessions will be provided.
- The training has been adapted according to Erasmus+ budgets.
Fees and Funding
| Price | 480 Euro |
| P.S. | If you register less than 6 weeks before the course start date, a late registration fee of 60 Euro will apply. |
