Python: Basics and Advanced as well as Artificial Intelligence (AI) for software developers
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Certificates: Certificate "Python: Basics and Advanced"
Certificate "Artificial intelligence (AI) for software developers" -
Additional Certificates: Certificate "PCEP™ - Certified Entry-Level Python Programmer"
Certificate "PCAP™ - Certified Associate Python Programmer" -
Examination: Praxisbezogene Projektarbeiten mit Abschlusspräsentationen
Certified Entry-Level Python Programmer (PCEP™) (in englischer Sprache)
Certified Associate Python Programmer (PCAP™) (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: 9 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)
Python Advanced
Modules, packages and error handling (approx. 4 days)
Introduction to Python modules and packages
Importing and using standard and third-party packages
Creating custom modules and packages
Working with sys and os (host platform functions)
Introduction to exceptions and error handling (try, except, finally)
Creating and using self-defined exceptions
Best practices for robust error handling
Artificial intelligence (AI) in the work process
Presentation of specific AI technologies
and possible applications in the professional environment
Strings and OOP basics (approx. 8 days)
Introduction to working with strings
Integrated string methods (split, join, find, replace etc.)
Formatting and processing strings
String slicing and working with regular expressions (RegEx)
Introduction to classes, objects, instance methods and variables
Encapsulation, inheritance and polymorphism
Constructors (__init__) and destructors (__del__)
Inheritance hierarchies and superclasses
In-depth study of object-oriented programming (approx. 2.5 days)
In-depth study of inheritance and polymorphism
Application of magic methods (__str__, __repr__, __eq__, __lt__, etc.)
Properties and decorators in classes
Design patterns: singleton, factory, etc.
List Comprehensions for efficient list processing
Lambda functions and anonymous function writing
Closures and scoping in Python
Understanding and using generators and iterators
Working with files, databases and web development (approx. 2.5 days)
Reading and writing files (CSV, JSON)
Introduction to SQL and connection to SQLite databases
CRUD operations in a database (create, read, update, delete)
Introduction to Flask and creation of a simple web application
Routes and templates in Flask
CRUD applications in Flask (database integration)
Project work, certification preparation and certification exam "PCAP™ - Certified Associate Python Programmer" in English (approx. 3 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 comprehensive knowledge of programming with Python. You will be able to confidently use the programming language with its classes, libraries and functions. You will be able to use concepts such as generators, decorators and list comprehensions as well as efficiently analyse and visualize data. You will also work confidently with files and databases and create basic web applications with Flask, including a complete CRUD application.
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 certificates "PCEP™ - Certified Entry-Level Python Programmer" and "PCAP™ - Certified Associate Python Programmer" you will acquire meaningful evidence for your professional advancement.
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).