AI Course 1 · Language Models

AI Courses: Understanding, Using, and Effectively Deploying Artificial Intelligence

Artificial intelligence is no longer a futuristic concept. It writes texts, explains connections, assists with programming, analyzes documents, and supports research and automation. Today, the crucial question is: how you deploy AI effectively, securely, and transparently – not whether you do.

This first course delves into Large Language Models (LLMs): ChatGPT, Gemini, Claude, Grok, and similar systems for text, research, and code.

AI Course – LLMs for Text, Research, and Code

Four AI Courses for a Practical Start

Now1. LLMs for Text, Research, and Code

ChatGPT, Gemini, Grok, Claude, and other language models: prompts, limitations, costs, data privacy, API vs. chat – for everyday use, business, and development.

Coming Soon2. AI for Images, Speech, Music, and Video

Generative media: suitable tools, legal aspects, marketing, photography, and web projects.

Coming Soon3. AI in Business

Automation, API, RAG, local LLMs, corporate solutions, phone assistants, cost control.

Practical4. AI Music Production

Suno, DIRSCHL Music Studio, and Publishing.

Target Audience: Families, freelancers, businesses, associations, creatives, and developers – no empty buzzwords, just real-world application.

LLMs – More Than Just a Better Chat

Large Language Models (LLMs) understand and generate language – often including program code. While they function like chatbots, they are also a text tool, research aid, learning partner, programming assistant, and organizer all in one.

Common Uses

  • Improve texts and emails, prepare blog posts, product descriptions
  • Technical questions, WordPress, HTML, CSS, JavaScript, databases
  • Translation, brainstorming, keywords, debugging, and explanations

Why LLMs Are More Than Just a Better Google Search

A search engine provides links. An LLM provides answers, explanations, and solutions – you can ask follow-up questions, request simplifications, or refine step-by-step. It creates a dialogue, not just a list of results.

Important: AI is not infallible. Always verify information concerning legal matters, medicine, taxes, security, or business decisions. A good workflow = ask, verify, refine, apply.

Why Do Incorrect Answers Occur?

LLMs calculate probable word sequences – they don't automatically "know" if a statement is true. If information is missing or if the training data and query are unclear, a convincing-sounding but incorrect answer can be generated.

In the course, you will learn how to maintain control through better prompts, clear tasks, source verification, follow-up questions, roles, constraints, and plausibility checks.

How Detailed Should a Prompt Be?

A prompt doesn't have to be long – but it must be clear. For simple tasks, a single sentence is often enough. For important results, context, objective, target audience, style, and format are helpful.

Weak: "Write a text about AI."
Better: "Write an understandable introductory text about AI for small businesses. Professional, practical, without jargon. Explain benefits, limitations, data privacy, and typical use cases."

When Is a Chatbot Sufficient – When Do You Need an API?

Situation Chatbot API
Typical Use Individual texts, ideas, translations, explanations, code assistance Automatic integration into website, plugin, app, CRM, support
Examples Manually in ChatGPT, Gemini, Claude, Grok FAQ assistant, product texts, translations, document analysis, phone bots
Quick Rule For manual use, chat is sufficient. For automation, an API is usually needed.

How much does AI cost?

A chat subscription is predictable. APIs often charge by tokens (text units) – the longer the input and response, and the more powerful the model, the higher the costs can be.

Model Typical Billing Note
Chat Subscription Monthly per user Often sufficient for private use & small teams
API By usage (tokens) Input + response + model strength determine the price
Additional Image, audio, video, storage, automation Plan costs for businesses

Where is my data stored?

This depends on the provider, plan, and technical implementation. Free chat, business plan, enterprise, API, and a local model are different scenarios.

For customer data, contracts, internal documents, or trade secrets: carefully choose the provider, data privacy settings, and, if applicable, a local or corporate solution.

Local LLMs, Corporate LLMs, and RAG

Local LLMs

Run on your own PC or server – data does not necessarily have to go to the cloud. They require computing power; small models are suitable for summaries and internal tests, while large cloud models are often more powerful for complex tasks.

Corporate LLMs

AI for businesses: rights, logging, teams, integration – especially when many employees and internal documents are involved.

RAG

Retrieval-Augmented Generation: AI uses your own PDFs, manuals, websites – ideal for support, training, and knowledge management without training everything into the model.

AI Assistants and Phone Assistants

Systems can listen, speak, and be integrated – consisting of speech recognition, LLM, data source, speech output, and clear rules for handover and data privacy.

Overview of Popular Systems

System Strengths / Typical Use
ChatGPT All-round: Text, code, ideas, analysis, creative workflows
Claude (e.g., Sonnet) Long texts, structured analysis, programming, clean language
Gemini Google ecosystem, multimodal capabilities, large contexts
Grok Dialogue, current topics, creative applications (xAI)
Perplexity Research with source attribution
ElevenLabs AI voices, voiceover, audio
GitHub Copilot Code directly in the IDE
Ollama / LM Studio Local models on your own computer

The course is not about a single „best“ tool, but about choosing the right tool for the task.

Who is this course for?

  • Private & Family: Writing, learning, researching, planning, creative work
  • Businesses: Acceleration, data privacy, initial automation, meaningful processes
  • Development: Code, APIs, WordPress, WebApps, Prototyping

Course Goal

At the end, you won't have a vague understanding like "AI can write texts." You will understand: What can AI do? What can it not do? Which tool for what purpose? How do you write better prompts? When to use an API or a local solution? How do you protect data?

We share practical knowledge from text work, web development, WordPress, automation, AI music, image generation, SEO, and our own projects – parts of our websites and plugins were also created with AI support.

Book AI Course or Company Training

Questions about dates, content, or a program exclusively for your team? Contact us – we will tailor the course to your specific use cases.

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