
What Artificial Intelligence really is
Classical AI vs. Generative AI: Key differences
Current trends and why AI matters today
How to “talk” to AI effectively
Roles, context, and examples in prompts
Quick wins with ChatGPT and OpenAI Playground
Text generation with ChatGPT
Image creation with Midjourney & Stable Diffusion
Voice and video with ElevenLabs & Synthesia
Demo: From idea to social media post in minutes
Data analysis with scikit-learn and Weka
Deep learning with TensorFlow/Keras
No-code/low-code tools (RapidMiner, Orange)
Hands-on demo: Simple clustering or prediction
Integrating AI into workflows with Zapier
LangChain and AutoGPT for advanced automation
Real examples of business process automation
Privacy & data protection (GDPR basics)
Copyright, licensing, and fair use
Bias, fairness, and responsible deployment
Where AI is heading next: multimodal AI, agents, AGI
Staying up to date: communities, resources, and tools
How to position yourself as an “AI expert”
Artificial Intelligence is transforming the way we work, create, and innovate. But most courses take weeks or even months to cover the essentials. This fast-track course is designed as a shortcut to becoming an AI expert in only two hours. It is ideal for professionals, entrepreneurs, creatives, and anyone who wants to understand both the power of generative AI and the fundamentals of classical AI without getting lost in technical details.
In this course, you will start with the basics of AI, exploring the differences between traditional machine learning approaches and modern generative models. You will learn how to interact effectively with AI through prompt engineering and see practical demonstrations of tools like ChatGPT, Midjourney, Stable Diffusion, ElevenLabs, and Synthesia to create text, images, voice, and video content in minutes.
We will also cover the essentials of classical AI using beginner-friendly tools such as scikit-learn, TensorFlow/Keras, Weka, and RapidMiner. These modules give you the foundation to understand how AI models are trained, how they analyze data, and how businesses apply them for predictions and decision making.
Beyond individual tools, you will discover how to integrate AI into real-world workflows using automation platforms like Zapier and LangChain, making it possible to save time and scale your work. Finally, we will address crucial topics such as ethics, privacy, copyright, and bias, ensuring that you can use AI responsibly and with confidence.
By the end of the course, you will have a clear overview of the AI landscape, hands-on knowledge of the most important tools, and the confidence to call yourself an AI expert by shortcut. This course is beginner-friendly, highly practical, and packed with insights that you can immediately apply in your business, studies, or creative projects.