Build a practical foundation in content marketing and learn how AI can support content planning, creation, and optimization. This beginner-friendly course is designed for marketing professionals, content creators, social media specialists, business owners, and anyone who wants to understand how useful content creates value for audiences and supports business goals. You will learn how to define a content strategy, research audience needs, identify topic opportunities, plan campaigns, build editorial calendars, create assets across formats, and evaluate content performance. The course also introduces responsible AI-assisted workflows for ideation, briefing, drafting, repurposing, editing, fact checking, and optimization. You will practice using frameworks, templates, checklists, and realistic scenarios to create a foundation document, content opportunity map, editorial calendar, mini content package, AI workflow, and measurement plan. No previous content marketing, analytics, or programming experience is required. By the end, you will understand the complete content marketing process and be able to use AI as a practical support tool while retaining human judgment over strategy, accuracy, originality, ethics, and publishing decisions.

Introduction to Content Marketing: From Basics to AI

Introduction to Content Marketing: From Basics to AI

Instructor: Anton Voroniuk
Top Instructor
Access provided by Vietnam National University - Hanoi
Gain insight into a topic and learn the fundamentals.
Beginner level
Recommended experience
4 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Define content strategy, research audiences, plan campaigns, create useful assets, apply AI responsibly, and optimize performance.
Build an audience-focused content marketing strategy and create effective content across formats using structured planning and AI tools.
Measure, test, and optimize content performance using meaningful KPIs, audience feedback, and evidence-based decisions.
Details to know

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Assessments
3 assignments
Taught in English
Recently updated!
September 2026
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There are 6 modules in this course
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