Course
Digicomp Code H36269
The Right Database for Your AI Applications («H36269»)
In this live online training course, you will learn in detail what is necessary for a good data basis and what options are available for data collection, data storage, data preparation, and data analysis.
Duration
1 day
Price
1'050.–
Please note:
This is a reseller course and as such excluded from any discounts (excluding promo codes).
Course information
This course is held in cooperation with Haufe Akademie. For the purpose of conducting the course, the participants' data will be transmitted there and processed there under their own responsibility. Please take note of the relevant Privacy notice.
Course facts
- Gaining an overview of data types and formats and the importance of data, especially in connection with AI
- Understanding the importance of good data quality and knowing how to recognize poor quality
- Understanding the advantages and disadvantages of different data storage options
- Gaining an overview of the legal framework that must be observed when storing and using data
- Understanding the most important types of data preprocessing and analysis and knowing what skills are necessary within your own company to use data for AI
Module 1
1 Introduction
- Terminology related to data and artificial intelligence
- Why data is the key to successful AI projects
2 Data types and formats
- What types of data are there?
- Variable types and scale levels
- Unstructured data, semi-structured data, and structured data
3 Data management for AI projects
- Supervised vs. unsupervised learning
- What are the requirements for data and data volumes for the use of AI?
- How to recognize poor data quality
- Ensuring data quality in productive AI applications
Module 2
1 Data storage
- Types of databases
- Overview of data lakes and data warehouses
- Advantages and disadvantages of data storage and processing in the cloud vs. on-premises
- External data sources as a supplement to internal data
2 Data security
- Personal data and GDPR
- How to ensure data sovereignty
- EU AI Act
3 Skills
- Types of data processing and analysis
- Generating initial added value from data: statistical analyses and visualizations
- Overview of BI tools
- Typical roles in data and AI projects (data analyst, data scientist, data engineer)
Lecture explaining theory, discussion, practical case studies, independent completion of exercises, assistance from the trainer
This course is aimed at digitalization officers, innovation officers, project staff, and interested specialists and managers who have little or no experience with data for artificial intelligence.
There are no formal requirements for participation in this course.
To ensure that you receive any necessary documents by mail in good time, we recommend booking at least 14 days before the seminar date.