AI Fundamentals

Artificial Intelligence (AI) Fundamentals for Businesses

Target Audience: This training is aimed at specialists and managers from various fields who want to develop a fundamental understanding of Artificial Intelligence (AI) in order to successfully integrate these technologies into their business processes. It is suitable for both beginners and those with some prior experience in AI.

Module 1: Introduction to Artificial Intelligence – Basics

What is Artificial Intelligence?
An overview of AI and its significance.
History and Development of AI
The evolution of AI technologies over the years.
Differences Between Weak and Strong AI
Understanding the distinction between narrow (weak) AI and general (strong) AI.
Applications and Potential of AI in Business
How AI is transforming industries and creating new opportunities.

Module 2: Relevant AI Platforms & Tools

Overview of Leading AI Platforms
Google AI, Microsoft Azure, IBM Watson, and other major platforms.
Tools for Getting Started with AI
From data processing to model development.
AI Frameworks and Libraries
An introduction to frameworks like TensorFlow, PyTorch, and others.

Module 3: Generative AI – Creativity and Innovation

Chatbots and Conversational AI
Applications and implementation of chatbots and AI-driven conversational systems.
Image Generation with AI
How AI can generate creative visual content.
Text Creation and More
Automatic content generation, including text and other forms of media.

Module 4: Process-Oriented AI – Automation and Efficiency

Business Process Automation
AI in workflows and process optimization.
AI in Customer Service
Chatbots and intelligent systems for enhancing customer satisfaction.
Predictive Analytics
How AI helps predict future developments and optimize business decisions.

Module 5: Case Studies of Successful AI Projects

Analysis and Discussion of Real AI Projects
What was achieved, and what mistakes should be avoided?
Learning from the Best
Successful companies and their AI strategies.
Practical Insights
Success factors and challenges.

Module 6: AI Applications in Business

AI in Product Development
How AI can assist from idea generation to product launch.
AI in Marketing
Personalization, targeting, and predictive analytics to boost efficiency.
AI in Design & Content Creation
Automated design tools and the future of creative work.
AI in Event Management
Optimizing event planning and execution with AI.

Module 7: Tips and Tricks for Successful AI Implementation

How to Use AI Effectively?
Best practices and pitfalls to avoid.
Important Do's & Don'ts for AI Implementation
Key advice for successful AI adoption.
Finding the Right Use Case for Your Business
How to identify where AI can make the biggest impact.

Module 8: Mastering Prompts – Dialoguing with AI

Effective Prompting
How to give the right inputs to achieve the best possible results.
Understanding Language Models
How to communicate effectively with models like GPT.
Best Practices for Interacting with AI Systems
How to optimize communication with AI tools.

Module 9: Legal Foundations and Ethical Considerations of AI

Legal Frameworks
Data protection, copyright, and liability in the context of AI.
Ethical Issues
Responsibility and bias in AI systems.
Legislation and Future Developments
What businesses need to know to stay compliant.

Module 10: Data Protection and Data Security in AI Systems

Data Protection Requirements for AI Applications
GDPR and other relevant regulations.
Security Risks in AI
How to protect AI systems from cyberattacks and misuse.
Best Practices for Handling Sensitive Data and AI
Managing and securing data in AI applications.

Training Formats:

In-Person Training: Intensive workshop on-site.
Online Course: Flexible, interactive learning with live webinars and recordings.
Inhouse Training: Tailored to the specific needs of your company.

Duration:

1 Day (Compact introduction)
3 Days (In-depth training with practical exercises and case studies)
5 Days (Comprehensive training with hands-on workshops and interactive sessions)

Methods:

Theoretical inputs from experts.
Practical exercises and live demos.
Group work and interactive discussions.
Case studies and best practices from various industries.

Your Benefit:

Understand the fundamentals of AI and its potential applications in your company.
Practical tips and tools to successfully implement AI.
Knowledge of ethical, legal, and data protection issues in the AI context.
Improved efficiency and innovation through the use of AI.

Costs:

The costs for the training vary depending on the format and scope. Contact us for a customized offer.