Teaching the rapidly evolving scenarios in AI
NEW PROJECTS 2024
Hi my name is Markus Roth.
Since the year 2000, I have utilized my creativity and innovative spirit to develop unique products and present them to the industry. In my career, I managed to realize over 430 projects for the Porsche Group. WORK
My scope of work ranged from idea generation to prototype construction and taking over the complete production of gift and merchandising items. This phase of my professional life lasted until 2020.
If you have a sensible, well-organized project as a task for us, we will be happy to continue helping you in this area.
A turning point in my life occurred in 2020 when I was bitten by a tick and developed chronic Lyme disease.
Despite these challenges, I found a new focus in early 2022: the world of artificial intelligence. Through intensive learning, training and private lessons with leading AI experts, I have acquired in-depth knowledge in this field. Projects are starting soon. I am embedded in an exceptionally competent group. We can educate and help you in the following themes:
Dealing with AI Bullying and AI Fraud: Prevention and Response
Recognizing AI Bullying and AI Fraud
Preventive Measures
Response Strategies
Psychological Impacts
Resources and Support
Ethics in AI: Understanding the ethical implications of AI developments.
AI in Business and Industry: Applications of AI in various sectors.
Creative AI: Exploring AI in art, music, and creative writing.
AI for Social Good: Leveraging AI for societal benefits and addressing global challenges.
Career Guidance in AI: Insights into building a career in the AI field.
AI Project Management: How to plan, execute, and manage AI projects.
Data Visualization: Techniques for visually representing data findings.
Introduction to AI and Machine Learning: Basics of AI, history, and current trends.
AI in Robotics: Integrating AI with robotics for automation and efficiency.
Internet of Things (IoT) and AI: Combining AI with IoT for smarter device interactions.
Natural Language Processing (NLP): Techniques for processing and analyzing human language.
Computer Vision: Methods to enable machines to understand and interpret visual information.
Cloud Computing for AI: Using cloud platforms like AWS, Azure for AI solutions.
Programming Fundamentals: Teaching languages like Python, essential for AI work.
Data Analysis and Processing: Handling and interpreting data, using tools like Pandas and NumPy.
Machine Learning Models: Creating and training models using frameworks like TensorFlow or PyTorch.
Deep Learning: Advanced techniques in neural networks and applications.
Building Chatbots and Virtual Assistants: Design and development of conversational AI.
Advanced AI Algorithms: Teaching cutting-edge AI algorithms and methodologies.
AI in Scientific Research: Applying AI in scientific discovery and research projects.