AI Free course · Certificate included
AI Fundamentals for Marketers & Creators
How generative AI works, what it can and cannot do, and hands-on workflows for research, briefs, content, SEO, social, ads and reporting
- Beginner
- 6 h 7 min
- 16 lessons in 5 modules
- 2 h 12 min of video lectures
- Updated Sep 2026
About this course
Generative AI is now part of everyday marketing, but most people still use it by trial and error. This beginner course gives creators, marketers and small-business owners a clear, current foundation, then puts it to work.
You'll learn how large language models behave (tokens, context, training, hallucinations), where AI helps and where it fails, and how to use today's assistant features in ChatGPT, Claude, Gemini, Microsoft 365 Copilot, Notion AI and Perplexity: projects, memory, deep research, file analysis, voice, connectors and agents. You'll protect client and customer data, handle disclosure and AI labels honestly, and then work through hands-on workflows for market research, creative briefs, repurposing and SEO drafts, social and ad copy, and analysis and reporting, finishing with a documented workflow and simple no-code automation. Every lesson has copy-paste prompts with before-and-after results and a detailed video lecture.
Tools you’ll use
- ChatGPT
- Claude
- Gemini
- Microsoft 365 Copilot
- Notion AI
- Perplexity
- Gemini Notebook (formerly NotebookLM)
- Zapier
Skills
- Generative AI literacy
- AI tool evaluation
- Fact-checking AI output
- Data privacy
- AI disclosure
- AI marketing workflows
- AI content repurposing
- Marketing analytics with AI
What you’ll be able to do
- Explain how large language models generate text and why they hallucinate, and verify claims with a five-step routine
- Decide which marketing tasks suit AI and build a lean, vendor-neutral toolkit
- Use projects, memory, deep research, file analysis, voice, connectors and agents for marketing work
- Protect client and customer data and apply advertising disclosure, AI labels and consent rules
- Research markets and customers, write creative briefs, and repurpose content into SEO drafts and social posts
- Create testable social and ad copy and turn campaign data into one-page reports that drive decisions
- Document a repeatable AI workflow with human checkpoints and automate its low-risk steps
Curriculum
Syllabus
- Modules
- 5
- Lessons
- 16
- Reading time
- 3.5 h
- Assessment questions
- 25
A plain-language model of what large language models are, how they produce text, what has changed in 2026, and why they sometimes get things confidently wrong.
- What generative AI is (and is not)Video lecture, 9′Video · 11 min
- Tokens, context windows, training and inferenceVideo lecture, 8′12 min
- Hallucinations: why AI gets things confidently wrongVideo lecture, 8′11 min
Where AI genuinely saves marketers time, where it fails, how to choose a lean toolkit, and how to use today's assistant features: projects, memory, deep research, files, voice, connectors and agents.
- What AI does well and where it falls shortVideo lecture, 8′11 min
- Choosing your AI toolkit without the hypeVideo lecture, 8′12 min
- Today's assistant features for marketers: projects, memory, deep research, files, voice and agentsVideo lecture, 9′14 min
What never to paste into an AI tool, safe routines for client and customer work, and how to handle advertising disclosure, AI labels and consent.
- What never to paste into an AI toolVideo lecture, 8′11 min
- Safe AI workflows for client and customer workVideo lecture, 8′12 min
- Disclosure, AI labels and consent: marketing with AI honestlyVideo lecture, 9′13 min
Research markets and customers, write creative briefs, repurpose content and draft SEO pages, create social and ad copy, and analyze results, with prompts, checklists and human checkpoints.
- Market and audience research with AIVideo lecture, 8′13 min
- Creative briefs with AI: from messy notes to a one-page briefVideo lecture, 9′12 min
- Content repurposing and SEO draftsVideo lecture, 8′13 min
- Social posts, hooks and ad copy that you can testVideo lecture, 8′12 min
- Marketing analysis and one-page reportsVideo lecture, 8′13 min
Map AI to awareness, consideration, conversion and retention, then document a repeatable workflow with human checkpoints and automate its low-risk steps.
- Mapping AI to awareness, consideration, conversion and retentionVideo lecture, 8′12 min
- Building your first repeatable AI workflowVideo lecture, 8′13 min
- Final assessment
Your certificate
Finish with a credential anyone can check
Earn the Certified AI-Ready Marketer badge: The holder understands how generative AI works and where it fails, verifies AI output, uses current assistant features such as projects, deep research, file analysis and agents, protects client and customer data, applies disclosure and AI-labeling rules, and runs documented AI workflows for research, briefs, content, social, ads and reporting with human review.
Completed all lessons and scored at least 80% on the final assessment.
- A public verification page
- A PDF certificate to download
- An Open Badge you can share
- One click to your LinkedIn profile
Final assessment
- 25questions drawn from a larger pool
- 40 mintime limit
- 80%pass mark
- 3attempts per 24 hours
Start learning today. It’s free.
Every lesson is free to read. A free account saves your progress, unlocks the final assessment and issues your certificate.