Introduction to Search Engine Marketing (SEM)

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Offered byGreat Learning

Introduction to Search Engine Marketing (SEM)
at
Great Learning
Overview

Gain a comprehensive overview of the search engine marketing principles and concepts

Duration	2 hours
Total fee	Free
Mode of learning	Online
Difficulty level	Beginner
Official Website	Explore Free Course
Credential	Certificate

Introduction to Search Engine Marketing (SEM)
at
Great Learning
Highlights

Earn a certificate of completion from Great Learning
Gain a competitive edge
Stand out to recruiters
Land your dream job

Introduction to Search Engine Marketing (SEM)
at
Great Learning
Course details

What are the course deliverables?

Digital Marketing
Search Engine Marketing
Google Ads
SEO

More about this course

The majority of organizations and individuals try to leverage opportunities and careers in Digital Marketing
It comprises various concepts like knowledge about google ads and the analytics that revolves around it. In this search engine marketing course, Search Engine Marketing has been taken into focus
Learn the fundamentals of SEM and Google ads that let you master the essential concepts of digital marketing
This SEM course will introduce SEM with its functions, processes, and implementation into the brand

Introduction to Search Engine Marketing (SEM)
at
Great Learning
Curriculum

What is SEM?

How does SEM work?

Search Engine Result Page Structure

SEM vs SEO

Why do we need SEM?

What are Google Ads?

Different Types of Google Ads

How does the Google Ads platform rank the Ads?

Google Ad Structure

How do we measure an Ad's performance?

Criteria for Measuring an Ad

What is CTR?

Other Marketing Terminologies

Introduction to Search Engine Marketing (SEM)
at
Great Learning
Faculty details

Mr. Anirudh Rao

Designation : Instructor Description : Anirudh has been working in the field of Data Science and has expertise over Python, Machine Learning and other concepts in the field of data analysis. He is also proficient in the concept of Deep Learning and its usage in a production environment. Expertise extends towards working on various projects in the domain of Artificial Intelligence and Neural Networks as well.