YouTube Marketing 2026: YouTube SEO & Algorithms

Alex Genadinik approaches YouTube marketing through topic research and the presentation of videos in search and recommendation contexts. Titles, thumbnails, Shorts and analytics connect several parts of a channel workflow. It suits learners who want a broader marketing survey and practical examples, while checking current platform guidance rather than treating algorithm explanations as permanent rules.

What you will learn

• Explore topic research and video presentation.
• Review titles, thumbnails and recommendation concepts.
• Use analytics to identify a content-improvement question.

Who this suits

Learners seeking an introductory-to-applied marketing sequence. The page has no formal level label; mixed levels is an editorial classification, and platform-ranking examples are not promises.

Before you enroll

Several options are focused one-hour courses with short videos, readings and a practical activity. Compare their scope with a longer marketing or production program. Check current YouTube features, music rights, account requirements and monetization rules before practice. Analytics and optimization techniques support experimentation; they do not guarantee rankings, views or income.

Coursera offers paid enrollment or subscription access. Check the enrollment screen for assessment and certificate terms, trials and any financial-aid options. Provider access terms can change; review them before paying.

Put it into practice

Prepare two title and thumbnail concepts for a fictional tutorial. Explain the audience question each addresses, identify a misleading claim to avoid and state which evidence could help compare the concepts.

Source and review

This overview is based on the provider's published information, checked on 12 October 2026. It is an editorial assessment, not a claim that we completed the resource. Time filters are approximate study ranges; projects and exercises can take longer.

No formal course level is published. Mixed levels is an editorial classification; algorithm and ranking statements are contextual teaching examples, not verified performance guarantees.

View the curriculum and current access options at Coursera.

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