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.

Lessons118 video lessons (60 AI Essentials + 58 Marketing)
DurationApproximately 24.8 hours
LevelBeginner — no prior experience needed
Access4 months from enrolment
FormatOn-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)

1What an LLM actually is
2Tokens and context in plain English
3Why AI guesses: probability, not lookup
4Strengths: what AI is genuinely great at
5Limits and failure modes to expect
6Meet the major AI assistants
7ChatGPT in depth
8Claude in depth
9Gemini and Copilot in depth
10NotebookLM and specialist tools
11Which tool for which job; free vs paid
12Anatomy of a great prompt
13Giving context the model needs
14Examples and few-shot prompting
15Controlling role, format, and tone
16Step-by-step and structured thinking
17Iterating and refining results
18Building reusable prompt templates
19What hallucinations are and why they happen
20Spotting hallucinations in the wild
21Verification habits that scale
22Giving the model your files and data
23Context limits and how to work within them
24When not to trust it
25What you should never paste
26Consumer vs business data handling
27Bias, fairness, and disclosure
28Basic legal and copyright awareness
29Email that gets replies
30Rewriting and tone shifting
31Summarizing long messages and threads
32Difficult and sensitive messages
33Documents, reports, and structure
34Proofreading and polishing
35Asking better research questions
36Summarizing and extracting key points
37Learning any topic faster
38NotebookLM for source-grounded research
39Fact-checking and source habits
40Planning projects and breaking down tasks
41Prioritizing and making decisions
42Meetings, notes, and follow-ups
43Managing your time and to-do list
44How AI image generation works
45Writing prompts for images
46Editing and iterating on images
47Design help for non-designers
48Creative projects and brainstorming
49Talking to AI: voice mode
50Working with images and screenshots
51AI on your phone
52Multimodal workflows combined
53What automation means with AI
54Your first simple automation
55Connecting apps and AI
56Custom GPTs and assistants
57Auditing your daily tasks for AI
58Building your personal AI toolkit
59Habits that make AI stick
60Keeping your workflow current

Part 2: AI for Marketing (58 lessons)

61Defining your brand voice
62Teaching AI your voice
63Brand guardrails and dos and donts
64Consistency across channels
65A reusable brand prompt kit
66The content engine mindset
67Keyword and topic research
68Outlining and drafting at scale
69Editing for quality and SEO
70Repurposing one piece many ways
71A repeatable publishing workflow
72Copywriting fundamentals with AI
73Writing high-converting ads
74Email copy that sells
75Landing pages that convert
76Headlines and hooks
77Testing and optimizing copy
78Image generation for marketers
79On-brand image prompts
80Social and ad creative
81Product and lifestyle imagery
82Editing, scaling, and rights
83AI for short-form video
84Scripts and storyboards
85Voiceover and audio with AI
86A simple video production flow
87Building a social content system
88Platform-specific content
89Content calendars with AI
90Engagement and community
91Scheduling and batching
92AI-powered email marketing
93Segmentation and personalization
94Automating CRM workflows
95Nurture sequences that work
96SEO in the age of AI
97Keyword and intent research
98On-page optimization with AI
99Answer-engine optimization (AEO)
100Content clusters and authority
101Tracking rankings and visibility
102Brainstorming campaign ideas
103Audience and persona research
104Campaign strategy and messaging
105Planning a full campaign
106Marketing automation basics
107Mapping your marketing workflows
108Building automated sequences
109Connecting your martech stack
110Monitoring and optimizing flows
111Marketing analytics with AI
112Turning data into insight
113Automated reporting
114Dashboards and storytelling
115Choosing your marketing AI stack
116Integrating tools into workflow
117Brand safety and compliance
118Governance 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.