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Certificates: Certificate "Artificial intelligence: AI expert"
Content Marketing Manager" certificate -
Additional Certificates: Certificate "AI representative with TÜV Rheinland-certified qualification"
Certificate "AI Manager with TÜV Rheinland certified qualification"
Certificate "AI auditor with TÜV Rheinland-certified qualification"
Certificate "Basic knowledge of web design and CMS"
Certified Content Marketing Manager" certificate
Certified SEM Manager" certificate -
Examination: Praxisbezogene Projektarbeiten mit Abschlusspräsentationen
KI-Beauftragte:r mit TÜV Rheinland geprüfter Qualifikation
KI-Manager:in mit TÜV Rheinland geprüfter Qualifikation
KI-Auditor:in mit TÜV Rheinland geprüfter Qualifikation
Certified Content Marketing Manager:in
Certified SEM Manager -
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: 24 Weeks
Artificial intelligence: AI officer
Role of AI officers in the compliance context (approx. 1 day)
Introduction to the role of AI officers
Tasks and responsibilities
Differentiation from other roles
Introduction to professional communication with AI (approx. 1 day)
Basics, strategies and types of prompting
Key components for effective prompting
Building an internal prompt library
Legal basics (approx. 2 days)
Overview of relevant laws and regulations: GDPR, AI Act, product liability, copyright law
In-depth study: EU AI Act (approx. 2 days)
Structure, objectives, classification
Risk classes
Obligations for suppliers, operators, importers and distributors
Conformity assessment
Documentation and transparency obligations
Post-market monitoring and reporting obligations
Management systems and standards (approx. 2 days)
Overview of ISO/IEC 42001
Importance of AI management systems (AIMS)
Integration into existing management systems (e.g. ISO 9001, ISO 27001)
Compliance strategies
Governance frameworks
Risk management, data protection and ethics (approx. 3 days)
Types of risk (bias, errors, ethical risks)
Strategic risk assessment
Risk matrix
Excursus: Risks of AI agents
Action planning
Data protection and data security for AI systems
Data ethics and transparency requirements
Quality assurance in AI projects (approx. 3 days)
Quality assurance and acceptance processes
Stakeholder analysis
Communication strategies
Training concepts for employees
Data management (approx. 1 day)
Basics of data quality
Principles of data integrity
Development of data management structures
Change management (approx. 2 days)
Dealing with resistance during AI introductions
Training concepts for employees
Development of a change management plan
Excursus: Strategic AI roadmap
Project work, certification preparation and certification exam "AI representative with TÜV Rheinland-certified qualification" (approx. 3 days)
Artificial intelligence: AI manager
Fundamentals of operational AI projects (approx. 5 days)
Introduction to AI, ML, DL, NLP and computer vision (operational focus)
Roles and tasks: Setting up, operating and reviewing the effectiveness of the management system in accordance with ISO 42001
Role delineation and collaboration: AI officer, AI manager and AI auditor
Identification and evaluation of operational use cases in the company
Project initiation: target definition, scope, feasibility analysis
Stakeholder management
Value creation and ROI through AI
Successful AI initiatives in management
Data management and use of tools (approx. 3 days)
Data preparation, quality and integration
Selection and implementation of AI tools and platforms
Practical prompting for text, image and video applications
Building simple data pipelines
Introduction to MLOps concepts
AI automation options in operation
Model training, validation and use (approx. 2 days)
Training and validation of models
Test procedures: Black box, white box, unit tests
Use of models
Monitoring and iterative optimization
Integration of AI agents in projects
Risk management and quality assurance (approx. 2 days)
Technical risk analysis: bias metrics, fairness tests, model error analysis
Quality assurance: KPIs, monitoring, acceptance processes
Management system according to ISO 42001
Security and explainability of AI systems
Operational project management and agile methods (approx. 2 days)
Agile methods: Scrum, Kanban, iterative deployment cycles
Resource and budget planning
Team and stakeholder communication
Ongoing optimization and problem-solving strategies (CIP)
Cooperation with external partners
Organizational development, governance and change management (approx. 3 days)
Analysis of business processes
Maturity level analysis, GAP analysis
Creation of an AI roadmap
AI governance and strategy development
Development of a sustainable organizational structure
Responsibilities
Practical handling of resistance in AI operations
Sustainability and corporate digital responsibility (CDR)
Project work, certification preparation and certification exam "AI Manager with TÜV Rheinland certified qualification" (approx. 3 days)
Artificial intelligence: AI auditor
Basics and framework conditions (approx. 4 days)
Roles, tasks and responsibilities within AI audits
Differentiation from other roles (e.g. AI manager)
Audit principles according to ISO 19011 (objectivity, independence, transparency)
Normative basis: ISO/IEC 42001 - structure, requirements, evidence
EU AI Act - relevant provisions for auditors
National guidelines and industry-specific standards
PDCA cycle in the audit context
Audit types: system, process, product and compliance audits
Stage 1 and Stage 2 at a glance
Documentation requirements and verification
AI-specific risks as audit objects (bias, explainability, robustness, security, data quality)
Prompting in the audit context
Regulatory and technical test criteria (approx. 4 days)
AI-specific compliance requirements
Data protection (GDPR and industry-specific requirements)
Security of AI systems (cybersecurity, access control)
Quality requirements for training and test data
Model validation and verification
Explainability and transparency of AI decisions
Performance metrics (accuracy, precision, recall, robustness)
Ethical principles and fairness
Additional industry-specific standards (e.g. ISO 13485, ISO 26262, BaFin guidelines)
Audit planning and methodology (approx. 4 days)
Definition of audit objects and objectives
Creation of an audit plan (resources, schedule, roles, communication)
Creation of questionnaires and checklists
Risk and relevance assessment of audit points
Selection of suitable audit methods (questioning, document review, technical tests)
Determination of supporting documents and types of evidence
Audit implementation (approx. 3 days)
Document review (Stage 1) - Requirements for AI documentation
Interview techniques and conducting discussions during the audit
On-site audit (Stage 2) - Use of audit tools
Carrying out technical tests (black box, white box, stress tests)
Use of technical tools (audit software, log analysis, code review)
Collection, validation and structuring of audit documents
Evaluation and report (approx. 2 days)
Creation of an audit report using prompting
Risk-appropriate presentation of weak points
Suggested measures and follow-up strategies
Project work, certification preparation and certification exam "AI auditor with TÜV Rheinland certified qualification" (approx. 3 days)
Basic knowledge of web design and CMS
Basics of web design HTML5 and CSS3 with Adobe Dreamweaver and Notepad++ (approx. 12 days)
Introduction to the topic
Introduction to development environments (Notepad++ and Dreamweaver)
Components of a website
Search engine friendly basic structure of HTML5
Code guideline and naming conventions
Structure of HTML tags and attributes
Hyperlinks (relative, absolute file path, internal, external links)
Lists, images, tables, forms
Formatting with CSS3 (Cascading Style Sheets)
Fixed and responsive (flexible) websites
Artificial intelligence (AI) in the work process
Presentation of specific AI technologies
and possible applications in the professional environment
Planning and structuring websites (approx. 2 days)
Concept process, resource planning, monetization
Concept, page and structure design of a website/web project
Preparing image material (sizes, cropping, web-optimized storage)
Legal issues (imprint, data protection, disclaimer)
CMS basics with WordPress (approx. 3 days)
Dashboard (user interface) of WordPress
User management and profile (password-protected areas and rights management)
Media management
Comments management
Creating and editing pages and posts
Visual and text editor
Publishing
Design area: menus, widgets, CSS editor, theme example
Providing downloads
Theoretical information on updates
Project work (approx. 3 days)
To reflect on and consolidate the content learned
Presentation of the project results
Content marketing expertise
Basics of journalistic work (approx. 4 days)
Editorial work, editing
Journalistic research techniques, online research
Journalistic standards
Structures and working methods of editorial offices and online editorial offices
Text workshop/writing exercises
Types of text (news, reports, features, portraits, commentaries, reviews)
Artificial intelligence (AI) in the work process
Presentation of specific AI technologies
and possible applications in the professional environment
Basics of content marketing (approx. 7 days)
Developing and documenting strategies
Planning projects
Defining goals and determining metrics
Determine target groups according to psychosocial and demographic aspects
Apply customer journeys and related models for strategic planning
The right mix of different content
Omnichannel experience through different touchpoints
Storytelling in content marketing: simple and complex story structures for different channels
Increase reach (approx. 3 days)
Effective distribution of content
Different types of corporate blogs
Brief introduction to WordPress:
Planning and running a blog
SEO optimized content
Email marketing
Measuring the effectiveness of measures
Legal (approx. 2 days)
Recognizing legal pitfalls
Internet law
Liability for own and third-party content
Copyright law
Project work, certification preparation and certification examination (approx. 4 days)
SEM Marketing expertise
Search engine optimization basics (approx. 3 days)
Web-based search engines
Google Universal Search
Vertical search engines
Search results pages and hits
Rich snippets
Google Knowledge Graph
PageRank
Domain Authority
Google search results/search settings
RankBrain
Search queries with local reference/Local SEO
Social SEO
Voice search
SEO processes (approx. 2 days)
Steps of the SEO process
Define SEO goals
Target group/persona
Keyword candidates
SEO KPIs
Conversions
Content quality
Google ranking signals
Search intent
Within Document Frequency (WDF)
Inverse Document Frequency (IDF)
Artificial intelligence (AI) in the work process
Presentation of specific AI technologies
and possible applications in the professional environment
Website optimization (approx. 3 days)
Optimization for mobile devices (AMP)
Meta tags/meta description/meta title
Duplicate content
Semantic web/search
Structured data and its meaning/possible uses
Checking the loading times of a website
Check domains for IP address
Security functions of the https protocol
Robots.txt
Anchor texts
Google Penalty
Search queries with local reference/Local SEO
Accessibility developments
SEO success control (approx. 3 days)
Perform success monitoring without commercial tools
Tools for ranking monitoring
Google index/Google quality guidelines
Backlinks and link building measures
Visibility index
OnPage analysis
Google Ads (approx. 2 days)
Google Ads
Analyzing the intent of search queries
Creating keyword lists
Campaign types/goals/structure of Google search ads
Google Keyword Planner
Set up and manage campaigns
Google Ads Auction
Web analytics (approx. 3 days)
Web Analytics
Goals and functions
Data protection
Reach measurement
Possibilities and limits of the data that can be collected
Setting up Google Analytics 4/demo account
Real-time reports
Target group analysis
Origin of website visitors
Event and goal tracking
Event tracking
Google Search Console
Visitor behavior
Google Tag Manager
cookies
Project work, certification preparation and certification examination (approx. 4 days)
Changes are possible. The course content is updated regularly.
After the course, you will be able to take responsibility for the safe, ethical and effective use of artificial intelligence. You will be able to identify the business potential of AI, successfully implement change management processes and select suitable tools to strategically plan, operationally manage and sustainably anchor AI projects within the company and drive forward the digital transformation. You will also have the skills to plan AI audits in line with standards, coordinate them across departments and successfully integrate them into existing management and audit processes.
After the course, you will know the most important terms and measures in content marketing. You will be able to assess content professionally and legally and present it with the widest possible reach, as well as plan blog posts efficiently and design them attractively.
In the field of online marketing, you will specialize in the communication of content and find employment in marketing agencies, social media and advertising agencies. Across all industries, content marketing managers are sought after in all companies that value a professional internet presence.
Additional knowledge in the strategic use of AI projects and your TÜV Rheinland-certified qualification will open up further career opportunities in the current job market.
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).