Structured modules
A clear learning sequence with focused lessons and milestones.
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Introduction to Artificial Intelligence
A practical introduction to artificial intelligence: core concepts, everyday work, creative tools, data analysis, security and tool selection.
BeginnerSelf-pacedFree videoFree
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Practical assignments
Assignments and knowledge checks designed for practical application.
Measurable progress
The system shows where you are and what the next step is.
DETAILED CURRICULUM
These are the topics covered in the course.
01
AI fundamentals – What is AI really?
- AI concepts explained simply
- Machine Learning, Deep Learning, neural networks, Transformer models and LLMs
- What AI is good at – and what it is not
- How “smart” is AI? Practical examples
- Where AI development stands today
- The 2026 AI trends that affect everyone
- General comparison: OpenAI ChatGPT, Google Gemini, Microsoft Copilot, Anthropic Claude and DeepSeek
02
AI in everyday work – practical examples
- Writing support for emails, documents and templates
- Excel formulas and data analysis with AI
- Automatic presentation generation
- Meeting notes and summaries
- Organization and time management with AI
- Email replies and inbox organization
- Translations, explanations and summaries
03
Creative AI – images, video and marketing
- Image generation basics
- Image editing basics
- Video generation basics
- Brand voice and style consistency
- Creating social media content with AI
- Using LLM knowledge for relevant research
- How to use AI for search
- How to improve the chance that AI systems recommend a product or company
- Practical uses of Perplexity AI
04
Data analysis and decision support with AI
- What analyses can AI perform?
- Simple financial and statistical estimates
- Report creation and KPI analysis
- Predictive models in practice
05
Security, privacy and ethical AI use
- What should and should not be entered into an AI system?
- Data security risks
- GDPR and privacy basics for AI use
- How to use AI responsibly
- Deepfakes and information risks
06
How to get started – practical advice and tool list
- Which AI tool is best suited to which task?
- The fundamental differences between free and paid versions
NEXT LEARNING STEP
These courses best match the current learning direction.
01Artificial intelligence & marketing
Artificial Intelligence in Marketing
A practical AI marketing course covering research, strategy, prompting, content, image and video creation, automation and legal basics.
02Artificial intelligence & business
Artificial Intelligence in Practice
A comprehensive business-focused AI course covering marketing, content production, Microsoft 365 Copilot, free AI tools, automation and privacy.