AI for Marketing Teams in Europe
A hundred and eighteen lessons covering brand voice, content production, copywriting, image and video, social, email, SEO and campaign analytics — with the full AI Essentials foundation underneath.
| Lessons | 118 video lessons (60 AI Essentials + 58 Marketing) |
|---|---|
| Duration | Approximately 24.8 hours |
| Level | Beginner — no prior experience needed |
| Access | 4 months from enrolment |
| Format | On-demand video, learn at your own pace |
| Price | €119 |
What the course covers
- Defining a brand voice and teaching it to an AI so output stays on-brand
- A repeatable content engine: research, outline, draft, edit, repurpose, publish
- Copywriting for ads, email, landing pages and headlines — then testing it
- On-brand image generation, short-form video, scripts and voiceover
- Social content systems, calendars and platform-specific writing
- SEO in the age of AI, including answer-engine optimisation and content clusters
- Marketing automation, CRM workflows and reporting that writes itself
Full curriculum — 118 lessons
The Essentials track builds the foundation. The Marketing track applies it across the whole funnel.
Part 1: AI Essentials (60 lessons)
| 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 |
Part 2: AI for Marketing (58 lessons)
| 61 | Defining your brand voice |
| 62 | Teaching AI your voice |
| 63 | Brand guardrails and dos and donts |
| 64 | Consistency across channels |
| 65 | A reusable brand prompt kit |
| 66 | The content engine mindset |
| 67 | Keyword and topic research |
| 68 | Outlining and drafting at scale |
| 69 | Editing for quality and SEO |
| 70 | Repurposing one piece many ways |
| 71 | A repeatable publishing workflow |
| 72 | Copywriting fundamentals with AI |
| 73 | Writing high-converting ads |
| 74 | Email copy that sells |
| 75 | Landing pages that convert |
| 76 | Headlines and hooks |
| 77 | Testing and optimizing copy |
| 78 | Image generation for marketers |
| 79 | On-brand image prompts |
| 80 | Social and ad creative |
| 81 | Product and lifestyle imagery |
| 82 | Editing, scaling, and rights |
| 83 | AI for short-form video |
| 84 | Scripts and storyboards |
| 85 | Voiceover and audio with AI |
| 86 | A simple video production flow |
| 87 | Building a social content system |
| 88 | Platform-specific content |
| 89 | Content calendars with AI |
| 90 | Engagement and community |
| 91 | Scheduling and batching |
| 92 | AI-powered email marketing |
| 93 | Segmentation and personalization |
| 94 | Automating CRM workflows |
| 95 | Nurture sequences that work |
| 96 | SEO in the age of AI |
| 97 | Keyword and intent research |
| 98 | On-page optimization with AI |
| 99 | Answer-engine optimization (AEO) |
| 100 | Content clusters and authority |
| 101 | Tracking rankings and visibility |
| 102 | Brainstorming campaign ideas |
| 103 | Audience and persona research |
| 104 | Campaign strategy and messaging |
| 105 | Planning a full campaign |
| 106 | Marketing automation basics |
| 107 | Mapping your marketing workflows |
| 108 | Building automated sequences |
| 109 | Connecting your martech stack |
| 110 | Monitoring and optimizing flows |
| 111 | Marketing analytics with AI |
| 112 | Turning data into insight |
| 113 | Automated reporting |
| 114 | Dashboards and storytelling |
| 115 | Choosing your marketing AI stack |
| 116 | Integrating tools into workflow |
| 117 | Brand safety and compliance |
| 118 | Governance and continuous improvement |
Who this course is for
- Marketing managers deciding where AI fits in the team's workflow
- Small in-house teams producing more content than headcount allows
- Freelancers and agencies who need consistent output at speed
- Business owners doing their own marketing without a specialist
Frequently asked questions
Do I need marketing experience?
Some helps, but the course explains each discipline before applying AI to it. The AI side assumes nothing at all.
How is this different from the AI Essentials course?
It contains all of AI Essentials, then adds 58 lessons applying it to marketing — brand voice, content, copy, visuals, social, SEO, automation and analytics.
How long do I have access?
Four months from the date of enrolment.
Does it cover answer-engine optimisation?
Yes. There is a dedicated lesson on AEO alongside keyword and intent research, on-page work and content clusters.
Do I need paid AI subscriptions?
No. The course explains what the free tiers do and where a paid plan genuinely earns its cost.
Enrol now and get instant access to all 118 lessons.
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English (United Kingdom)