AI Fundamentals Course · compact in 3 hours
Understand and Effectively Apply Artificial Intelligence
From GPT and language models to Vision and generative media, RAG, AI agents, and local models.
This course clearly defines key terms, showcases real-world applications, and teaches you which AI tool suits which task – up-to-date, practical, and free of product advertising.
What You Will Confidently Understand After Three Hours
What is artificial intelligence – and what isn't? What does GPT stand for? How do language models, Vision models, and image generators differ? What do tokens, prompts, context windows, RAG, and AI agents mean? You will learn these terms not as a vocabulary list, but through relatable tasks involving text, research, images, speech, music, video, and automation.
- Realistically assess AI results and identify common errors
- Select the appropriate model and tool for a given task
- Consider data protection, copyright, costs, and quality early on
- Sensibly differentiate between cloud AI, local models, and enterprise solutions
AI Fundamentals Course Outline
1. Fundamentals: Model, Training, and Generative AI · 25 Minutes
AI, machine learning, training, and inference. Why models calculate probabilities and do not "know" like humans.
2. GPT, LLM, Tokens, and Prompts · 35 Minutes
How language models process text, research, and code, why context is important, and how hallucinations occur.
3. Vision and Multimodal Models · 35 Minutes
Image understanding, OCR, recognition, and description – and the difference between a Vision model and an image generator.
Break · 10 Minutes
4. Generating Images, Speech, Music, and Video · 35 Minutes
Generative media, diffusion models, quality control, rights, and typical limitations.
5. API, RAG, Agents, and Local AI · 25 Minutes
How AI accesses its own data, executes tools, and is integrated into workflows with data privacy in mind.
6. Practical Application · 15 Minutes
A clear decision-making path: task, data, risk, model, quality assurance, and measurable results.
Which AI System Solves Which Task?
Language Model: Text, summarization, research support, and code. Vision Model: Reading, comparing, and structuring images. Generative Image, Audio, or Video Model: Creating new media. RAG: Answers based on verifiable, proprietary sources. AI Agent: Executing multi-step tasks with tools. Local Model: Processing sensitive data on your own hardware.
In this course, these systems are not pitted against each other. The decisive factor is which combination reliably, economically, and responsibly solves the task.
Deepen Your Knowledge
The fundamentals remain concise. If you wish to understand a topic in more detail, you will find dedicated knowledge pages:
- Understand GPT, LLM, Tokens, and Prompts
- Understand Vision Models and Generative Media
- Understand RAG, APIs, AI Agents, and Local Models
For specific applications, there is also the AI Music Production Course and the moderated AI Workshop for Children.
Who Is This Course For?
For adults, teams, associations, educational institutions, and companies that want to gain a solid understanding of AI without having to work through numerous individual courses first. No programming knowledge is required. Examples and focus areas will be adapted to the group's prior knowledge and objectives.
Format: Three hours live, on-site or online. Optionally with subsequent consultation for specific workflows.