-
Certificates: Performance Manager" certificate
-
Additional Certificates: Certificate "Fundamentals of Controlling"
Certified Business Manager" certificate
Certificate "Statistics and data analysis"
Certificate "AWS Certified Cloud Practitioner" -
Examination: Praxisbezogene Projektarbeiten mit Abschlusspräsentationen
Certified Business Manager:in
AWS Zertifizierungsprüfung CLF-C02 (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: 16 Weeks
Management and corporate planning
Management (approx. 1 day)
Hierarchy levels
Management methods
Planning horizons
Management functions
Management control loop
Management instruments
Objectives, methods and instruments of business plan preparation (approx. 3 days)
Basics of business plan preparation
Analysis and planning tools (SWOT analysis, scenario analysis, portfolio analysis,
creativity techniques)
Use of AI for brainstorming and structuring business models
AI-supported creation and revision of business plan components
Contract law (approx. 1 day)
Declarations of intent
Warranty and guarantee
Types of contract and their disruptions
Law on contractual defects (subsequent performance, withdrawal, purchase price reduction, compensation)
General terms and conditions (AGB)
Commercial and company law (approx. 1 day)
Types of merchants
company forms
Commercial practices
Special features of commercial law
Commercial register and publicity
Introduction to insolvency law
Project planning (approx. 0.5 days)
basics
Resource planning
Planning steps
Errors in project planning
Environment analysis (approx. 0.5 days)
Company analysis
Industry analysis
Location analysis
Competition analysis
Use of AI to support market and competition analyses
Marketing (approx. 3 days)
Market analysis and market segmentation
Basics of market research
Instruments of the marketing mix
Advertising and supporting instruments
Use of AI to develop marketing ideas and address target groups
AI-supported creation of marketing content
Financial planning (approx. 1 day)
Overview of
Instruments
Planning investment calculation (approx. 2 days)
Basics
Investment calculation methods
Limits and problems of capital budgeting methods
Key figures
Financial planning (approx. 1 day)
Basics
Equity and debt financing
External and internal financing
Key figures
Controlling (approx. 1 day)
Tasks and objectives of controlling
Areas of controlling
Controlling instruments
Project work, certification preparation and certification examination (approx. 5 days)
Controlling basics
Introduction to controlling (approx. 1.5 days)
Controlling as part of the management process
Overview of the various controlling instruments and methods
Strategic and operational controlling
Cost accounting and cost management (approx. 3.5 days)
Introduction to cost and activity accounting
Cost element accounting
Cost center accounting
Cost unit accounting
Cost accounting systems (approx. 3 days)
Actual, normal and planned cost accounting
Partial and full cost accounting
Activity-based costing
Artificial intelligence (AI) in the work process
Presentation of specific AI technologies
and possible applications in the professional environment
Corporate planning and budgeting (approx. 4 days)
budget planning
Liquidity planning
investment planning
Key figures and key figure systems (approx. 3 days)
Contribution margin
Balanced scorecard
Reporting (approx. 2 days)
reporting
BWA
Data protection in controlling
Project work (approx. 3 days)
To consolidate the content learned
Presentation of the project results
Statistics and data analysis
Statistical basics (approx. 6 days)
Measurement theory basics (population, sample, sample types, measurement, scale levels)
Univariate descriptive statistics (frequency distributions, central measures, measures of dispersion, standardization, histograms, bar charts, pie charts, line charts, box plots)
Bivariate descriptive statistics (measures of correlation, correlation coefficients, crosstabs, scatter plots, grouped bar charts)
Basics of inductive inferential statistics (probability distributions, normal distribution, sampling distribution of the mean, significance test, null hypothesis test, significance level, effect size, parameter estimation, confidence intervals, error bar charts, power analysis, sample size)
Data preparation and data cleansing with suitable software
Descriptive analysis
Visualization of statistical results
AI-supported analysis and interpretation of statistical results
Methods for comparing two groups (approx. 5 days)
z-test, t-test for one sample
t-test for independent and related samples
Pretest-posttest designs with two groups
Supporting significance tests (Anderson-Darling test, Ryan-Joiner test, Levene test, Bonett test, significance test for correlations)
Nonparametric methods (Wilcoxon test, sign test, Mann-Whitney test)
Contingency analyses (binomial test, Fisher's exact test, chi-square test, cross-tabulations, measures of association)
Interpretation of test results
AI-supported interpretation of results
Basics of regression analysis (approx. 2 days)
Linear regression
Model interpretation
AI-supported model interpretation
Correlation analysis
Methods for comparing the means of several groups (approx. 3 days)
One-factorial and two-factorial analysis of variance (ANOVA)
Post-hoc analyses
Interpretation of group differences
Multi-factorial analysis of variance (general linear model)
Fixed, random, crossed and nested factors
Multiple comparison methods (Tukey-HSD, Dunnett, Games-Howell)
Interaction analysis
Power analysis for variance analyses
Introduction to Design of Experiments (DoE) (approx. 1 day)
Full factorial and partial factorial experimental designs
Project work (approx. 3 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.
You have basic knowledge of controlling, can create business plans, are proficient in important economic planning and marketing tools and can analyze data using statistical methods. You have the specialist knowledge required to operate in the cloud. You also have the technical experience required to provision, secure and automate environments regardless of the provider's solution.
The course is aimed at people with training or relevant professional experience in accounting, business administration, commercial or administrative areas.
Performance managers concentrate on the future-oriented adherence to a company's strategies and plans and are therefore in demand from both large and medium-sized companies.
Your meaningful certificate provides a detailed insight into the qualifications you have acquired and improves your career prospects.
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).