Courses Coursera

Google SEO Fundamentals

Gain a foundational understanding of search engine algorithms, on-page, off-page, and technical SEO, and keyword research. Learn to build resilient, AI-aware SEO strategies that improve visibility, site performance, and alignment with user search behavior.

Intermediate Level 9h 0m 4.80 (3,701) 🌐 ES

What you'll learn

  • Understand how search engine algorithms impact organic results and website performance
  • Learn on-page, off-page, and technical SEO fundamentals and best practices
  • Use AI tools ethically for SEO content creation and optimization
  • Develop data-informed keyword strategies aligned with user intent and search behavior

Skills you'll gain

  • Complete a competitive analysis on a webpage
  • Interpret brand recognition through social media
  • Create sitemaps and robots.txt files, plan redirects, and manage site errors
  • Analyze on-page SEO elements using web crawlers and optimization techniques
  • Assess quality of backlinks and off-page signals affecting rankings
  • Troubleshoot common technical SEO issues related to crawlability and indexing
  • Research and select keywords based on user intent and search behavior
  • Develop a data-informed keyword strategy for long-term visibility

Prerequisites

  • At least 2 years of business or marketing experience
  • Familiarity with social media

Who this course is for

  • Learners with at least 2 years of business or marketing experience
  • Professionals familiar with social media who want to deepen SEO skills
  • Marketers seeking to understand on-page, off-page, and technical SEO
  • Anyone looking to build a foundational SEO strategy for websites
Pricing varies
Go to Course

You'll be redirected to Coursera

Provider

Coursera

Related Courses

Python Bootcamp

Python Bootcamp covers fundamentals of Python programming, including control structures, advanced data types, functions, modules, packages, multithreading, exception handling, file handling, GUI design, and database connectivity, preparing learners for future work in data science and machine learning.

SYBGEN Inc.

Systems Engineering

This course introduces Systems Engineering principles across the lifecycle of complex systems, covering system design, architecture, requirements analysis, modeling, verification, lifecycle models (Waterfall, V-Model, Spiral, Agile), SysML, risk management, trade-off analysis, and a Smart Home Security System project.

Udacity

IT Systems Design and Analysis

Prepare to design, analyze, and evaluate IT systems using data flow diagrams, ERDs, UML, and feasibility analysis. Learn to assess existing systems, identify inefficiencies, compare solution alternatives, and deliver a digital transformation strategy through a hands-on final project.

Coursera ⭐ 4.70

Programming with JavaScript

Learn the basics of web development with JavaScript, including variables, data types, functions, objects, arrays, DOM manipulation, modern JS features, and writing unit tests with Jest over 5 modules.

Coursera ⭐ 4.70

Hands On FullStack Development Course with Infrastructure Management Product implementation

A 180-day, project-first full-stack infrastructure course where you build and operate production-grade services with CI/CD, testing, observability, and operational playbooks, aimed at taking you from toy projects to real-world deployment experience.

System Design Roadmap ⭐ 4.80

Learn Typescript

Hands-on introduction to TypeScript fundamentals and their application in real projects. Learn core typing concepts, advanced TypeScript features, and how to use TypeScript with React and Express while building safer, more maintainable JavaScript applications.

Coursera ⭐ 4.50