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Certificates: Certificate "PCEP™ - Certified Entry-Level Python Programmer"
Data Engineer" certificate
Certificate "AWS Certified Cloud Practitioner" -
Examination: Praxisbezogene Projektarbeiten mit Abschlusspräsentationen
AWS Zertifizierungsprüfung CLF-C02 (in englischer Sprache)
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: 12 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
Numeral systems: binary, octal, hexadecimal
Scientific Notation
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
String basics: escaping, multiline strings
Prioritizing and binding 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
Parameter types: positional, keyword, mixed
Default values
Shadowing and global keyword
None and return without value
Troubleshooting (approx. 0.5 days)
Basics of error handling with try and except
Typical error types and exception hierarchy
Error propagation and program interruptions
Structuring the except blocks
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)
Data Engineer
Fundamentals of Data Engineering and Data Architectures (approx. 2 days)
Tasks and Application Areas in Data Engineering
Fundamentals of Modern Data Architectures and Data Platforms
Fundamentals and Comparison of Cloud-Based Data Architectures
OLTP and OLAP
Processing Structured, Semi-Structured, and Unstructured Data
Requirements Management and Data Modeling (approx. 1 day)
Requirements for Data and Data Sources
Conceptual Data Modeling
Modeling Data Structures and Data Flows
Data Contracts, Data Governance, and Data Lineage
Databases and Data Processing (approx. 1 day)
Database System Architecture
SQL vs. NoSQL vs. NewSQL: A Comparison
Relational Data Modeling
SQL for Querying and Processing Data
Data Warehousing and Modern Data Architectures (approx. 2 days)
Fundamentals and Architecture of Data Warehouse Systems
Dimensional Data Modeling and Schema Design
Facts, Dimensions, and Historical Data Storage
Comparing Data Warehouses, Data Lakes, and Lakehouses
Introduction to dbt
Practical Implementation of Data Models
Data Integration and Data Pipelines (approx. 5 days)
Data Integration and Data Provisioning
ETL and ELT Processes
Design and Orchestration of Data Pipelines
Data Cleaning, Validation, and Data Quality
Batch and Streaming Processing
Practical Application of Airflow and Spark
Programming and Automated Data Processing (approx. 4 days)
Python Environments and Package Management
Data Processing and Transformation with Python
Automation of data processing workflows
Connecting to Different Data Sources and Interfaces
Development of data engineering workflows
Containerization with Docker
AI-powered support in the development and data processing process
Project work (approx. 5 days)
To consolidate the content learned
Presentation of the project results
AWS Cloud Administrator
Cloud concepts (approx. 3.5 days)
Advantages of the AWS Cloud
Principles of the AWS Cloud design
Migration to the AWS Cloud
Concepts of cloud economics
Artificial intelligence (AI) in the work process
Presentation of specific AI technologies
and possible applications in the professional environment
Security and compliance (approx. 4.5 days)
AWS model as shared responsibility
AWS cloud security, governance and compliance concepts
AWS access management functions
Components and resources for security support
Cloud technology and services (approx. 5 days)
Methods for deployment and operation in the AWS Cloud
Global AWS infrastructure
AWS computing services, database services, network services and storage services
AWS service for artificial intelligence and machine learning as well as analytics services
Services from other covered AWS services categories
Invoicing, pricing and support (approx. 2 days)
Comparison of AWS pricing models
Resources for billing, budget and cost management
AWS technical resources and support options
Project work, certification preparation and certification exam (approx. 5 days)
AWS Certified Cloud Practitioner CLF-C02 (in English)
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 confident in using the programming language with its classes, libraries and functions.
In addition, you have knowledge of data modeling, integration, preparation, and automated processing, and you can design and implement modern data processes.
After this course, you will also have the specialist knowledge required to operate in the cloud. You will also have the technical experience required to provision, secure and automate environments regardless of the provider's solution.
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.
Data engineers develop and maintain data structures and processes that integrate and process data from various sources and make it available for analysis and other applications. As data-driven business processes become increasingly important, these skills are in demand across all industries.
Furthermore, specialists with cloud knowledge are sought after in various business areas, for example in sales, product management or project management. This knowledge is particularly in demand in companies that want to communicate more effectively with technical teams and customers. After the course, you can provide meaningful proof of your new skills with the "AWS Certified Cloud Practitioner" certificate.
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).