AI Essentials Course for Europe
Sixty video lessons that take you from what a language model actually is to running AI inside your daily work. Built for working professionals across Europe, not for engineers. No prior experience needed.
| Lessons | 60 video lessons |
|---|---|
| Duration | Approximately 12.5 hours |
| Level | Beginner — no prior experience needed |
| Access | 4 months from enrolment |
| Format | On-demand video, learn at your own pace |
| Price | €59 |
What the course covers
- How large language models actually work — tokens, context, and why AI guesses rather than looks up
- The major assistants compared: ChatGPT, Claude, Gemini, Copilot and NotebookLM
- Prompt engineering from first principles, then reusable templates you keep
- Spotting hallucinations, and verification habits that scale
- What is safe to paste, and what is not — consumer versus business accounts
- Applying AI to email, documents, research, planning, images and voice
- Your first automations, custom assistants, and a workflow that sticks
Full curriculum — all 60 lessons
Every lesson is short and self-contained. Work through them in order or dip into the sections you need.
| 1 | What an LLM actually is |
| 2 | Tokens and context in plain English |
| 3 | Why AI guesses: probability, not lookup |
| 4 | Strengths: what AI is genuinely great at |
| 5 | Limits and failure modes to expect |
| 6 | Meet the major AI assistants |
| 7 | ChatGPT in depth |
| 8 | Claude in depth |
| 9 | Gemini and Copilot in depth |
| 10 | NotebookLM and specialist tools |
| 11 | Which tool for which job; free vs paid |
| 12 | Anatomy of a great prompt |
| 13 | Giving context the model needs |
| 14 | Examples and few-shot prompting |
| 15 | Controlling role, format, and tone |
| 16 | Step-by-step and structured thinking |
| 17 | Iterating and refining results |
| 18 | Building reusable prompt templates |
| 19 | What hallucinations are and why they happen |
| 20 | Spotting hallucinations in the wild |
| 21 | Verification habits that scale |
| 22 | Giving the model your files and data |
| 23 | Context limits and how to work within them |
| 24 | When not to trust it |
| 25 | What you should never paste |
| 26 | Consumer vs business data handling |
| 27 | Bias, fairness, and disclosure |
| 28 | Basic legal and copyright awareness |
| 29 | Email that gets replies |
| 30 | Rewriting and tone shifting |
| 31 | Summarizing long messages and threads |
| 32 | Difficult and sensitive messages |
| 33 | Documents, reports, and structure |
| 34 | Proofreading and polishing |
| 35 | Asking better research questions |
| 36 | Summarizing and extracting key points |
| 37 | Learning any topic faster |
| 38 | NotebookLM for source-grounded research |
| 39 | Fact-checking and source habits |
| 40 | Planning projects and breaking down tasks |
| 41 | Prioritizing and making decisions |
| 42 | Meetings, notes, and follow-ups |
| 43 | Managing your time and to-do list |
| 44 | How AI image generation works |
| 45 | Writing prompts for images |
| 46 | Editing and iterating on images |
| 47 | Design help for non-designers |
| 48 | Creative projects and brainstorming |
| 49 | Talking to AI: voice mode |
| 50 | Working with images and screenshots |
| 51 | AI on your phone |
| 52 | Multimodal workflows combined |
| 53 | What automation means with AI |
| 54 | Your first simple automation |
| 55 | Connecting apps and AI |
| 56 | Custom GPTs and assistants |
| 57 | Auditing your daily tasks for AI |
| 58 | Building your personal AI toolkit |
| 59 | Habits that make AI stick |
| 60 | Keeping your workflow current |
Who this course is for
- Professionals who use AI occasionally and want to use it properly
- Managers who need to judge what AI can and cannot do for their team
- Anyone who has tried ChatGPT, got mediocre results, and stopped
- People who need to understand data and compliance risk before rolling AI out
Frequently asked questions
Do I need any technical background?
No. The course starts from what an AI model is and builds up. There is no code, no maths, and no assumed knowledge.
How long do I have access?
Four months from the date of enrolment. Watch the lessons as many times as you like within that period.
Is this the same as the free AI course?
No. The free course is 14 lessons and about 2.4 hours. This one is 60 lessons and around 12.5 hours, and goes considerably deeper on prompting, verification, data handling and automation.
Which AI tools does it cover?
ChatGPT, Claude, Gemini, Copilot and NotebookLM, plus the reasoning that lets you judge new tools as they appear.
Do I need paid AI subscriptions to follow along?
No. The course explains what the free tiers do and where paid plans genuinely add something, so you can decide for yourself.
Enrol now and get instant access to all 60 lessons.
Español (España)
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Italiano (IT)
Deutsch (Deutschland)
Français (France)
Nederlands (nl-NL)
English (United Kingdom)