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seo, digital marketing, keyword research, content strategy, analytics, algorithms, optimization, web design, social media, aiRetry
Coursera

Google SEO Fundamentals

Master search engine algorithms, keyword research, and on-page optimization while learning how AI transforms modern SEO strategy. This foundational course from UC Davis covers competitive analysis, consumer psychology, technical SEO elements like sitemaps and redirects, and adapting strategies for algorithm updates in an automated search landscape. Learn More
Sharable Certificate

Yes

Lessons : 38

Module : 4

seo, digital marketing, keyword research, content strategy, analytics, algorithms, optimization, web design, social media, aiRetry
Course available on

Subject

Duration

10+ hours

Total Enrolled

183,602

Course Level

Intermediate

Overview

Search engines process billions of queries daily, but understanding how they actually work separates successful websites from invisible ones. Algorithms determine which pages appear first, how content gets indexed, and why some sites dominate while others languish on page ten despite quality content.

This course teaches the mechanics behind organic search results. You’ll understand algorithm fundamentals, explore what influences rankings, and learn to build SEO strategies that actually move the needle on website performance. Rebekah May from University of California, Davis brings a decade of organic growth marketing experience, having developed campaigns for both international startups and Fortune 500 brands.

Algorithm Understanding and Strategic Foundations

Search engines don’t randomly select results. Complex algorithms evaluate hundreds of signals determining relevance, authority, and user experience. The course breaks down how these systems work, what they prioritize, and how changes ripple through organic search results.

You’ll examine successful SEO strategy components: keyword selection grounded in actual search behavior, understanding consumer psychology driving queries, and analyzing how people search differently across awareness stages. This isn’t guesswork; it’s data-driven strategy aligned with how users actually discover content.

On-page SEO analysis techniques reveal optimization opportunities competitors miss. You’ll conduct competitive analysis on webpages, identify technical issues impacting performance, and implement improvements that search engines reward with better visibility.

Keyword Research Beyond Basic Tools

Generic keyword lists don’t build rankings. The course dives into keyword theory, intent mapping, and search stages showing how users progress from initial awareness through decision-making. You’ll learn semantic search principles and how AI-driven algorithms changed everything about targeting phrases versus topics.

Modern keyword research focuses on relevance and opportunity over raw search volume. You’ll use research tools for audience analysis, build user intent profiles, and develop strategies supporting long-term visibility rather than chasing trending keywords that never convert.

Technical SEO Elements That Matter

Rankings depend partly on technical foundations. The training covers creating sitemaps and robots.txt files, planning redirects that preserve link equity, and managing site errors preventing proper indexing. These technical elements seem mundane but directly impact whether search engines can crawl, understand, and rank your content.

Information architecture and user experience factor into modern SEO. Search engines increasingly reward sites providing genuine value, not just keyword-stuffed pages. You’ll learn aligning technical implementation with user expectations and ethical guidelines.

AI’s Impact on SEO Strategy

Artificial intelligence fundamentally changed how search works. From content generation tools to algorithm updates using machine learning, AI reshapes every aspect of organic search. The course examines these changes and teaches adapting strategies accordingly.

You’ll explore building resilient SEO approaches aligned with current trends while remaining flexible as automation continues transforming the search landscape. This includes understanding generative AI’s role and adjusting tactics for algorithm changes prioritizing quality and relevance.

Social Media and Brand Recognition

SEO doesn’t exist in isolation. The course teaches interpreting brand recognition through social media and understanding how social signals potentially influence search visibility. You’ll see how broader digital presence connects to organic search performance.

Practical Application and Career Readiness

Over 183,000 students have completed this training. Reviews average 4.8 stars, with 96% of learners recommending the course. Students praise its detailed, thorough approach with specific instructions applicable immediately.

The course includes assignments testing your understanding, discussion prompts encouraging peer learning, and hands-on projects building practical skills. You’ll complete competitive analyses, develop keyword strategies, and implement technical improvements on actual websites.

Completing this course provides a shareable certificate adding to your LinkedIn profile, demonstrating foundational SEO competency employers seek. Whether you’re transitioning into digital marketing, expanding existing skills, or building an online business, these fundamentals apply across industries and use cases.

What You'll Learn

  • Search engine algorithm fundamentals explaining how organic results get determined
  • Keyword research methodology moving beyond volume to intent and relevance
  • Consumer psychology in search understanding what drives queries and discovery
  • Search behavior analysis mapping user journeys from awareness to decision
  • On-page SEO techniques identifying and implementing optimization opportunities
  • Competitive webpage analysis evaluating competitor strategies and gaps
  • Keyword intent mapping aligning content with different search stages
  • Semantic search principles adapting to AI-driven algorithm changes
  • Technical SEO implementation creating sitemaps, robots.txt, and managing redirects
  • Site error management fixing issues preventing proper indexing
  • Information architecture structuring sites for users and search engines
  • User experience optimization aligning technical elements with expectations
  • AI impact on SEO adapting strategies for automated search landscape
  • Content strategy development building resilient long-term approaches
  • Social media brand recognition interpreting signals across platforms
  • Google Analytics integration measuring and analyzing performance

Taught by : Rebekah May

An organic growth marketer with over a decade of experience, Rebekah May has built successful SEO and content marketing campaigns across vastly different contexts—from international startups finding their footing to Fortune 500 corporations optimizing massive web properties. Her background spans digital marketing agencies, in-house teams, and consulting, providing perspective on what actually works versus what sounds good in theory. Beyond campaign execution, she dedicates significant time to teaching through online workshops and mentoring roles in digital marketing programs. Her students have progressed into positions at industry-leading companies, applying the foundational principles and strategic thinking she emphasizes throughout her instruction.

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More Info

Language :

English

Support Available?...

Yes!

Course Demand Is

Medium

Resources Available?...

Yes!

under 14 Days Money Back Policy

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Enroll

183,602

Duration

10+ hours

Level

Intermediate

Subject

Course available on

Summarize : Master search engine algorithms, keyword research, and on-page optimization while learning how AI transforms modern SEO strategy. This foundational course from UC Davis covers competitive analysis, consumer psychology, technical SEO elements like sitemaps and redirects, and adapting strategies for algorithm updates in an automated search landscape. Learn More

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