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Certificates: Certificate "PCEP™ - Certified Entry-Level Python Programmer"
Certificate "Artificial intelligence (AI) for software developers" -
Examination: Praxisbezogene Projektarbeiten mit Abschlusspräsentationen
Certified Entry-Level Python Programmer (PCEP™) (in englischer Sprache) -
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
Programming with Python
Python basics (approx. 1 day)
History, concepts
Usage and areas of application
syntax
Lexis, semantics
PEP-8 conventions
Interpreter vs. compiler
First steps with Python (approx. 5 days)
Numbers
Strings
Date and time
Standard input and output
Numeric operators
Comparison, logical and bitwise operators
Data type conversion
list, tuple dict, set
List functions and methods
Branching and loops (if, for, while)
member operators
Artificial intelligence (AI) in the work process
Presentation of specific AI technologies
and possible applications in the professional environment
Functions (approx. 5 days)
Define your own functions
Variables
Parameters and arguments
Return values
Recursion
Namespaces
Functional programming
Troubleshooting (approx. 0.5 days)
try, except
Error types
Intercepting program interruptions
Error forwarding between functions
Object-oriented programming (approx. 4.5 days)
Python classes
Methods
Immutable objects
Data class
Inheritance
Project work, certification preparation and certification exam "PCEP™ - Certified Entry-Level Python Programmer" in English (approx. 4 days)
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
Changes are possible. The course content is updated regularly.
After the course, you will have a compact, basic knowledge of programming with Python. You will be able to use the programming language with its classes, libraries and functions with confidence.
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.
IT apprentices, IT specialists, programmers and specialists with relevant professional experience.
The versatility of Python makes employees with the relevant skills attractive in numerous industries and companies. People with programming skills in Python are particularly sought after in web development, machine learning and data analysis.
With the "PCEP™ - Certified Entry-Level Python Programmer" certificate, you can provide meaningful proof of your new qualification and improve your career opportunities.
Additional knowledge of AI applications in development is in high demand across all industries.
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).