SQL with additional qualification in artificial intelligence (AI) for software developers
Free of cost
by funding
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Certificates: Certificate "Artificial intelligence (AI) for software developers"
Certificate "Relational Databases SQL" -
Examination: Practical project work with final presentations
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Teaching Times: Full-timeMonday to Friday from 8:30 a.m. to 3:35 p.m. (in weeks with public holidays from 8:30 a.m. to 5:10 p.m.)
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Language of Instruction: German
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Duration: 5 Weeks
Artificial intelligence (AI) for software developers
Basics of Artificial Intelligence (AI/AI) (approx. 0.5 days)
What is artificial intelligence?
Definition and history of AI
Difference between weak and strong AI
Overview of AI-based applications
DIN/TS 92004:2024
Introduction to Machine Learning (ML) (approx. 0.5 days)
Definition and basic concepts
Supervised vs. unsupervised learning
Examples of ML applications
Data pre-processing and visualization (approx. 1 day)
Data preparation (sources, cleansing and transformation)
Meaning and techniques of feature engineering
Scaling and normalization
Categorical and numerical features
Importance of data visualization
Creating diagrams and plots
Supervised learning (approx. 1 day)
Linear and multiple regression models
Evaluation of regression models
Classification models
Model evaluation and optimization
Unsupervised learning and deep learning (approx. 1 day)
Clustering methods
Dimension reduction
Basic concepts/architectures of deep learning
Neural networks and how they work
Overview of deep learning frameworks
Project work (approx. 1 day)
To consolidate the content learned
Presentation of the project results
Relational databases with SQL
Basics of database systems with Access (approx. 3 days)
Redundant data
Data integrity
Normalization
BCNF
DB design
Relationship 1:n, m:n
data types
tables
Primary and foreign keys
Referential integrity
Relationships between relations
Entity relationship model
Index, default value
Restrictions (check)
Queries
Forms, reports
Circular reference
Introduction to SQL Server Management Studio (SSMS) (approx. 2 days)
Overview of
Physical DB design
Creating tables
Data types in MS SQL
Primary Key
Restrictions, default values, diagram, relationships
Backup and restore
Artificial intelligence (AI) in the work process
Presentation of specific AI technologies
and possible applications in the professional environment
Introduction to DDL (approx. 8 days)
SQL basics
syntax
Commands
Multiple tables
Operators
Flow control
Scalar value functions
Table value functions
System functions
Procedures with and without parameters
Error types
Transactions, locks, DeadLock
DCL - Data Control Language (approx. 1 day)
Logins
User learning
roles
Authorizations
Data types, data import and export (approx. 1 day)
Data type geography
Data export, data import
Project work (approx. 5 days)
To consolidate the content learned
Presentation of the project results
Changes are possible. The course content is updated regularly.
After the course, you will be able to build and manage relational databases with SQL, create views and execute complex queries, including using SQL functions. The course is taught on the Microsoft SQL Server using the Microsoft SQL Server Management Studio.
You also understand the basics of artificial intelligence and machine learning. You will be able to process data, create and evaluate models and have initial experience with deep learning and unsupervised learning.
Computer scientists, IT specialists, programmers, people with knowledge of engineering or business administration, business people and specialists with relevant professional experience.
With the growing demand for AI applications, developers with the relevant skills are in high demand across all industries.
By creating and developing databases, companies ensure efficient sorting, logical structuring and permanent documentation of important data. As an SQL database specialist or administrator, you will work in almost all industries.
Your meaningful certificate provides a detailed insight into the qualifications you have acquired and improves your career prospects.
Didactic concept
Your lecturers are highly qualified both professionally and didactically and will teach you from the first to the last day (no self-study system).
You will learn in effective small groups. The courses usually consist of 6 to 25 participants. The general lessons are supplemented by numerous practical exercises in all course modules. The practice phase is an important part of the course, as it is during this time that you process what you have just learned and gain confidence and routine in its application. The final section of the course involves a project, a case study or a final exam.
Virtual classroom alfaview®
Lessons take place using modern alfaview® video technology - either from the comfort of your own home or at our premises at Bildungszentrum. The entire course can see each other face-to-face via alfaview®, communicate with each other in lip-sync voice quality and work on joint projects. Of course, you can also see and talk to your connected trainers live at any time and you will be taught by your lecturers in real time for the entire duration of the course. The lessons are not e-learning, but real live face-to-face lessons via video technology.
The courses at alfatraining are funded by Agentur für Arbeit and are certified in accordance with the AZAV approval regulation. When submitting a Bildungsgutscheinor Aktivierungs- und Vermittlungsgutschein, the entire course costs are usually covered by your funding body.
Funding is also possible via Europäischen Sozialfonds (ESF), Deutsche Rentenversicherung (DRV) or regional funding programs. As a regular soldier, you have the option of attending further training courses via Berufsförderungsdienst (BFD). Companies can also have their employees qualified via funding from Agentur für Arbeit (Qualifizierungschancengesetz).