Building AI skills

From many company projects and with experienced subject matter experts , we offer tailor-made training solutions for every AI phase. Real added value for organizations, teams, specialists and managers.

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AI training courses for the 6 phases

AWARENESS

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AI for your company

Content Collection

Building AI skills with e-learning

Our courses enable all employees to use AI effectively and responsibly.

To the Content Collection

Compliance College

Dealing with AI tools

... and other e-learning courses on compliance, data privacy, IT security & Co.

To the Compliance College

LXP

Close your AI compliance gap with social learning

A platform that evolves your organization as fast as AI technology changes.

To the LXP with AI

In-house Training

Building AI expertise in-house

Training tailored to your needs, without travel costs for your team.

To AI in-house training courses

AI skills for individual learners

Develop new skills in dealing with artificial intelligence that will bring you and your company immediate benefits - regardless of which AI phase you are currently in.

Together with leading experts experts and renowned training partners, you will find the right offer for your personal and professional development.

Phase 1 - AWARENESS

It is fundamentally important to have an overview of the basics of artificial intelligence and to recognize the benefits of AI in the world of work. We support you in identifying the need for AI applications.

Smart data science: your entry into professional data analysis

From basic knowledge to the first data project with the CRISP-DM process

(66)

at 6 locations

2 days

Training

German

Building AI skills

AI training courses for the 6 phases

AI for your company

AI skills for individual learners

Phase 1 - AWARENESS

It is fundamentally important to have an overview of the basics of artificial intelligence and to recognize the benefits of AI in the world of work. We support you in identifying the need for AI applications.

Smart data science: your entry into professional data analysis

Smart Data Science: your entry into professional data analysis (Online)

AI Express

Basic knowledge of data science and artificial intelligence for controllers

Data management and data-based decision-making

The ChatGPT revolution: operation, fields of application, business models

ChatGPT for decision makers

Team leadership and artificial intelligence

More creative and innovative with artificial intelligence

Machine learning and data mining: concepts, models, learning methods

Use Microsoft Copilot in MS Office 365

Microsoft Excel 365: Use Copilot Pro efficiently

Phase 2 - STRATEGY

Your AI strategy should always be aligned with competitive strategies and your digital strategy. We support you in identifying AI fields of application in specific areas or processes.

Artificial intelligence (AI) in the creative industries

Artificial intelligence as a strategic lever for companies

Successfully operationalizing artificial intelligence in the company

Artificial intelligence in business: potentials, use cases, value contributions

AI strategy for product management - from conception to implementation

AI in occupational health management (OHM)

AI in HR: strategies for successful implementation

Business automation: efficiency, innovation & success through autonomous technology

AI in public administration II

AI in personnel development

Artificial intelligence along the customer journey

AI in media relations

Phase 3 - GOVERNANCE

From the strategy to the successful introduction of AI, clear framework conditions are important. We support you with resource planning as well as with legal and data-based issues.

From metadata management to the data catalog

Handling artificial intelligence (AI) with legal certainty

Successfully overcoming compliance challenges with AI?

Ethics of artificial intelligence

AI legal practice: from theory to application

AI update: focus on data privacy and employment law

Successfully managing data quality

Microsoft 365 Copilot - The guide for the introduction in the company

The EU AI Regulation - EU Artificial Intelligence Act

Data governance, data management and the use of AI

Phase 4 - EXPLORATION

AI pilot projects in a limited area of application help to gain valuable experience. We support you in demonstrating the positive effects of AI and preparing your employees for the change.

Digital storytelling: strategies, key figures and artificial intelligence (AI)

Predictive analytics: data-based forecasts with AI and prediction models

AI tools in marketing marketing: overview, applications, opportunities

AI in recruiting for newcomers

AI in consulting: faster to better results

AI in the office: efficient and professional business communication

AI and employment law: opportunities and risks

Mastering the future - using AI successfully for marketing & sales

Use ChatGPT & Co. effectively and efficiently in project management

Using ChatGPT & Co. successfully in product management

Inspiration AI - creative writing with ChatGPT & Co.

ChatGPT & Co. in sales

Phase 5 - INTEGRATION

Clear responsibilities and role definitions are essential for the successful implementation of AI. We support you in the effective integration and adaptation of AI in your company.

GPT in the company: Develop your customized Large Language Model

Microsoft 365 Copilot - Technical implementation and administration

MLOps in practice: Deployment and integration of machine learning models

Deep learning and neural networks with Python, Pandas, Keras and TensorFlow

Develop your own connectors and plug-ins for Microsoft 365 Copilot

Developing Generative AI Applications on AWS

Machine Learning 2.0: Transformer for language processing and image generation

Machine learning with Python: The practice-oriented introduction

Master Class Machine Learning Engineer

Natural language processing and large language models (LLM) with Python

Phase 6 - SCALING

The scaling of AI in your company and the continuous development of robust AI systems requires architectural flexibility and knowledge building. We support you in meeting these requirements.

MLOps Engineering on AWS

Building Data Lakes on AWS

Amazon SageMaker Studio for Data Scientists

Practical Data Science with Amazon SageMaker

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