Business AI Advanced

The Business AI Advanced certificate course builds on the foundations of the Business AI Basics course and deepens knowledge of artificial intelligence (AI) in companies and organisations. This compact in-service training programme is aimed at managers and specialists who have already gained initial experience with AI, want to take their knowledge to an advanced level and want to drive forward and implement strategic AI applications in their companies.

The focus is on practice-oriented applications of AI that are supported by theoretical concepts. Participants in the course will be able to categorise AI as a game changer in a business context, identify use cases in their own company and design and support their implementation.

By deepening their knowledge and exchanging ideas with experts from different experts from various fields, participants not only strengthen their professional skills, but also their professional network. The course also helps them to position themselves in the course of the digital transformation and to develop professionally.

The Business AI Advanced course is divided into nine coordinated modules that focus on different areas of the application of artificial intelligence in companies. Each module covers both theoretical principles and practice-orientated content that is directly applicable in a professional environment.

After completing the Business AI Advanced course, participants will be able to

identify, design and support holistic applications in the various business areas;
design a framework for the implementation of AI strategies;
develop AI-supported business strategies;
utilise, operate and expand specific AI systems;
implement specific AI applications in business processes;
assess the technological feasibility of AI projects;
reflect on previous developments and integrate future developments;
move from being driven by AI to becoming a driver and shaper of AI.

The part-time course is designed for

executives with foundational knowledge in AI applications who wish to deepen their expertise.
mid-level management decision-makers seeking to further develop AI strategies within their areas of responsibility.
entrepreneurs aiming to integrate and scale AI within their business models.
consultants looking to enhance their expertise in AI applications to better support and guide clients.
professionals from various industries seeking specialization in advanced AI applications.
practitioners with experience in AI projects who want to build on their existing knowledge.

Downloads

Flyer ( pdf | 1.99M )

Dr. Olena RiggerProgram Manager

+43 512 2070 - 2104olena.rigger@mci.edu

Your way to sucess

Find out all the details you need to make your decision here:

What awaits you?

The compact course is organized for part-time study and follows a didactic concept specifically tailored to the needs of working decision-makers. The lectures are conducted in a blended learning format, combining face-to-face modules with synchronous online modules. The latest insights from science and research are discussed and reflected upon through practical examples.

The program concludes with a written transfer assignment evaluated by an Academic Board. The written transfer assignment is presented and defended before a panel.

More information on costs & teaching principles can be found here.
Detailed schedule on request.

Topics

The following topics are covered:

AI as a game changer:
Management by AI versus management of AI; strategy and leadership in the age of AI.
Project and process management:
Successful management of AI projects; the scaling of AI solutions and AI-supported project management.
Operations Management:
Process analysis and development with AI applications; automation and efficiency enhancement.
Controlling & Finance:
AI applications for controlling such as data management & reporting, driver-based forecasting & budgeting; automation and AI in accounting.
Marketing & Sales:
Role of AI in modern marketing, content generation & generative AI; lead scoring; marketing automation & campaign management.
Human resource management:
AI in HR management from recruiting to talent management to personnel development; future of work; AI in HR law; legally compliant implementation of AI systems.
Knowledge management:
AI knowledge models and AI tools for storing and utilising knowledge.
Data, compliance:
AI regulation & business; liability law; data protection, labour law and platforms; IT security law.
Feasibility Checkpoint & Feedback:
Discussion and evaluation of AI projects against the background of technological requirements and feasibility.

New certification

The Business AI Advanced programm offers in-depth preparation for the ‘Certified AI Manager’ certification examination at Austrian Standards. The programme covers an essential and substantial part of the certification content. Participants gain in-depth insights into regulatory requirements, compliance strategies and the practical application of AI in organisations. This makes this programme an excellent choice for specialists and managers who want to optimally prepare for their AI Manager certification and expand their AI expertise at the highest level.

Recertification

The Business AI Advanced programme is ideal for already certified AI managers who wish to renew their certification. It covers the essential content of the certification scheme and ensures that you keep your knowledge of technical, legal and economic developments up to date. Through practical modules and current case studies, you will deepen your expertise in an efficient, practice-oriented manner and with direct reference to the current challenges in the field of artificial intelligence.

Who awaits you?

The lecturers are proven experts in the field of leadership with excellent academic qualifications and international experience. The latest findings from science and research are discussed and reflected upon using practical examples.

Scientific Management

FH-Prof. Dr. Michael Kohlegger
MCI Senior Lecturer Departments Management, Communication & IT and Digital Business & Software Engineering; Lektor for Data Science at FH Kufstein Tyrol; Lektor for Data Analytics at WU Vienna.

RA Dr. Lukas Staffler, PhD, LL.M. (London)
MCI Senior Lecturer; Academic Director: LL.M. Digital Business & Tech Law, LL.M. Compliance & Corporate Governance, Certificate-Course Business AI Basic & Business AI Advanced, Innsbruck / Tyrol
Senior Researcher at Universität Zurich / Switzerland
Attorney-at-law, ISO-certified compliance officer & auditor

Faculty (excerpt)

Mag. Fabian Bösch, B.A.
Lawyer, Law firm Greiter-Pegger-Kofler & Partner, Innsbruck / Tyrol

FH-Prof. Dr. Kristina Harthaller
MCI Lecturer Department Business & Management, Innsbruck / Tyrol

Dr. Lisa Perkhofer, MA
MCI Lecturer Department Business & Management, Innsbruck / Tyrol

FH-Prof. Dr. Christian Ploder
MCI Lecturer Department Management, Communication & IT, Innsbruck / Tyrol

FH-Prof. Dr. Stephan Schlögl
MCI Lecturer Department Management, Communication & IT, Innsbruck / Tyrol

Prof. Dr. Matthias Schulten
Professor of Marketing of University Südwestfalen / Germany

Mag. Mario Tuta
CEO bei Stoic Analytics, Kufstein / Tyrol

Recognition of Credits

The MCI certificate programs have been designed to meet the highest international quality standards. They are continuously assessed by internal and external bodies.

All business-related MCI study programs have been accredited by the renowned Association to Advance Collegiate Schools of Business (AACSB).

Career & Perspectives

The certificate course "Business AI Advanced" provides in-depth knowledge of advanced, topic-specific AI applications within a business context. Graduates of this program are equipped to apply and further develop AI strategies in various areas, including management, consulting, marketing, human resources, and compliance. The program’s practical design offers a foundation for efficiently leading and integrating both existing and new AI projects within organizational structures.

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