-
Certificates: Certificate "Azure Data Engineer"
Certificate "Professional Scrum Master (PSM I) from Scrum.org" -
Additional Certificates: Original Microsoft certificate "Microsoft Certified: Azure Administrator Associate"
Certificate "Relational Databases SQL"
Certificate "PCEP™ - Certified Entry-Level Python Programmer"
Data Engineer" certificate -
Examination: Praxisbezogene Projektarbeiten mit Abschlusspräsentationen
Microsoft-Zertifizierungsprüfung AZ-104: Azure Administrator
Certified Entry-Level Python Programmer (PCEP™) (in englischer Sprache)
Scrum.org-Zertifizierung PSM I - Professional Scrum Master (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.)
-
Language of Instruction: German
-
Duration: 20 Weeks
Microsoft Azure Administration
Prerequisites for Azure administrators (approx. 1 day)
Azure administration interfaces (Azure Portal, Azure CLI, Azure PowerShell)
Azure Resource Manager (ARM)
Resources and resource groups
Azure Resource Manager Templates (ARM) and Bicep
Use of AI tools to support administrative tasks and scripting
Managing Azure identities and governance (approx. 2 days)
Microsoft Entra ID
Users and groups
Device settings
Mass user updates
Guest accounts
Self-service password
Role-based access control (RBAC)
Access assignments
Managed identities for Azure resources
Directories
Subscriptions and governance: Azure policies, resources, tags
Cost management
Management groups
Configure and manage virtual networks (approx. 4.5 days)
Virtual networks
VNet peering
Private and public IP addresses, network routes, network interfaces, subnets and virtual networks
Name resolution: Azure DNS
Secure access to virtual networks and resources
Network Security Groups (NSG) for subnets and network interfaces
Azure Bastion
Azure Application Gateway (Layer 7 load balancing)
Local connectivity
Connection Monitor
Network Watcher
Network diagnostics
Integrate a local network into an Azure virtual network
ExpressRoute
Azure Virtual WAN
Implement and manage storage space (approx. 2 days)
Storage accounts
Shared Access Signatures (SAS)
Access keys
Azure storage replication
Microsoft Entra ID authentication
Azure Storage Explorer
AZCopy
Azure Files and Azure Blob Storage
Azure File Sharing
Azure File Sync
Provisioning and managing Azure computing resources (approx. 3.5 days)
Azure Virtual Machines (VMs) for high availability and scalability
Azure Resource Manager Templates (ARM) and Bicep
VHD template
Azure hard disk encryption
Azure Key Vault for keys and secrets
VM sizes
Adding disks
Availability zones and availability sets
Configuring the network
Containers
Container apps
Azure Container Instances (ACI)
Web apps
Monitoring and securing Azure resources (approx. 2 days)
Azure Monitor
metrics
Log Analytics
Diagnostic settings
Application Insights
Support for analyzing logs and error messages using AI tools
Backup and restore processes
Backup reports
Azure Backup
Soft delete process
Backup policies
Azure Site Recovery
Project work (approx. 5 days)
To consolidate the content learned
Presentation of the results
Certification exam AZ-104: Microsoft Azure Administrator
Relational databases with SQL
Basics of database systems and SQL (approx. 3 days)
Overview of database systems and models
Redundant data and data integrity
Normalization
Database design and entity relationship model (ERM)
Primary and foreign keys
Relationships between relations
Data types in SQL
Indexes and performance
Constraints and validation
Queries in SQL
Structured data as the basis for AI-supported analysis methods
Introduction to SQL Server Management Studio (SSMS) (approx. 2 days)
Overview of SQL Server and SSMS
Physical database design
Creating tables and defining data types
Constraints, default values and relationships
Database diagrams (ERM) and relationships
Backup and restore
Introduction to performance monitoring
Overview of AI-supported query optimization and query analysis
Introduction to DDL (Data Definition Language) and DML (Data Manipulation Language) (approx. 8 days)
SQL basics and extended syntax
Operators and integrated functions
Queries and manipulation of data
Error handling and transaction management
Creation and administration of database objects
Basics of performance optimization
Working with modern data types
Data modeling and structured preparation for AI and analysis applications
DCL - Data Control Language and Security (approx. 1 day)
User administration and authorizations
Roles and security concepts
Auditing
Introduction to Row Level Security
Data security in the context of AI-supported evaluations
Data types, data import and export in modern systems (approx. 1 day)
Data import and export
Modern data types
Import, transformation and provision of data for analysis processes
Project work (approx. 5 days)
To consolidate the content learned
Presentation of the project results
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
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
Agile project management with Scrum: Master (PSM I)
Basics (approx. 3 days)
Agile mindset
Differences and additions to traditional project management methods
Phases of an agile project
Strengths and weaknesses of agile project management
Prerequisites/framework conditions for agile projects (approx. 5 days)
Project environment, values and principles
Requirements for agile projects at a technical level in IT projects
Transferability of agile methods to projects outside IT
Artificial intelligence (AI) in the work process
Presentation of specific AI technologies
and possible applications in the professional environment
The Scrum framework (approx. 3 days)
Scrum philosophy
The different result responsibilities in Scrum and their tasks: Scrum Master, Developer, Product Owner
Self-organized teams
The Scrum meetings: Sprint Planning, Daily Scrum, Sprint Review, Sprint Retrospectives
Scrum artifacts: product backlog, sprint backlog, increment
Planning with Scrum
Effects on organizations
Project management (approx. 2 days)
Stakeholder management
Problem identification and resolution
Scaled Scrum/Nexus
Key factor team (approx. 2 days)
Framework conditions for agile teams
Responsibility, collaboration and commitment in an agile team
Effective team and self-management
Communication in the team
Project work, certification preparation and Scrum.org Professional Scrum Master certification (PSM I) in English (approx. 5 days)
Changes are possible. The course content is updated regularly.
After this course, you will have in-depth knowledge of Azure configuration and administration. Python and SQL skills complete your profile and you can combine these with the tasks of Data Engineers.
In addition, you are proficient in the Scrum process and support product owners in process management and improvement. You are able to organize and moderate Agile/Scrum meetings and implement sprints and are familiar with Scrum artifacts.
IT and network specialists, (specialist) computer scientists, people with practical experience and good knowledge of IT.
As companies need to manage and structure ever-increasing amounts of data to evaluate and target their business processes, skills in data development and construction are in demand in all industries.
With Scrum, you will also learn a project and product management process model that was originally used for agile software development in particular, but is now also used in many other specialist areas. As a scalable project management and development method, it is used successfully in numerous large-scale projects with several hundred team members. The official certificate from Scrum.org provides you with internationally recognized proof of your qualifications as a Scrum Master.
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).