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Certificates: Python" certificate
Data Engineer" certificate
Certificate "AWS Certified Cloud Practitioner" -
Examination: Practical project work with final presentations
AWS certification exam CLF-C02 -
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
First steps with Python (approx. 5 days)
Numbers
Strings
Date and time
Standard input and output
list, tuple dict, set
Branches and loops (if, for, while)
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, recursion
Functional programming
Troubleshooting (approx. 0.5 days)
try, except
Intercept program interruptions
Object-oriented programming (approx. 4.5 days)
Python classes
Methods
Immutable objects
Data class
Inheritance
Graphical user interface (approx. 1 day)
Buttons and text fields
Grid layout
File selection
Project work (approx. 3 days)
To consolidate the content learned
Presentation of the project results
Data Engineer
Basics of Business Intelligence (approx. 2 days)
Fields of application, dimensions of a BI architecture
Basics of business intelligence, OLAP, OLTP, tasks of data engineers
Data Warehousing (DWH): handling and processing of structured, semi-structured and unstructured data
Requirements management (approx. 2 days)
Tasks, objectives and procedures in requirements analysis
Data modeling, introduction/modeling with ERM
Introduction/modeling in UML
- Class diagrams
- Use case analysis
- Activity diagrams
Artificial intelligence (AI) in the work process
Presentation of specific AI technologies
and possible applications in the professional environment
Databases (approx. 3 days)
Basics of database systems
Architecture of database management systems
Application of RDBMS
Implementation of data model in RDBMS, normal forms
Practical and theoretical introduction to SQL
Limits of relational databases, csv, json
Data Warehouse (approx. 4 days)
Star Schema
Data modeling
Creation of Star Schema in RDBMS
Snowflake Schema, basics, data modeling
Creation of Snowflake Schema in RDBMS
Galaxy Schema: Basics, data modeling
Slowly Changing Dimension Tables Type 1 to 5 - Restating, Stacking, Reorganizing, mini Dimension and Type 5
Introduction to normal, causal, mini and monster, heterogeneous and sub dimensions
Comparison of state and transaction oriented
Fact tables, density and storage from DWH
ETL (approx. 4 days)
Data Cleansing
- Null Values
- Preparation of data
- Harmonization of data
- Application of regular expressions
Data Understanding
- Data validation
- Statistical data analysis
Data protection, data security
Practical structure of ETL routes
Data Vault 2.0, basics, hubs, links, satellites, hash key, hash diff.
Data Vault data modeling
Practical structure of a Data Vault model - Raw Vault, practical implementation of hash procedures
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
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 are also proficient in processes relating to the consolidation, preparation, enrichment and forwarding of data.
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.
As companies need to manage and structure ever-increasing volumes of data to evaluate and target their business processes, skills in data development and construction are in demand in 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).