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SEO Specialist Program

Enhance your skills with our SEO Specialist Program. Learn to optimize websites, analyze search engine performance, and implement effective SEO strategies to increase online visibility and grow your career in digital marketing. Finprov’s SEO Course gives you adequate knowledge in the digital marketing sector. Our online and offline class methods enable students to study at their convenience. Become an SEO expert by joining our team!

Offline Fees

Starts at Rs. 17700

Online Fees

Starts at Rs. 11250

Duration

2 Months

Download Syllabus
Apply Now
  • Digital Marketing
  • SAP
  • Online & Offline
  • English
  • Hurry! 665 people have already applied in the last 1 month
  • For enquiries call: Get Started
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Choose Your Perfect Course

Advanced Generative AI Certification Course

Master the skills that shape the future of technology with the Advanced Certificate Program in Generative AI, a 5-month generative AI course by upGrad.

No Cost EMI

Starts at Rs. 6,458

Start Date

Starts at Rs. 6,458

Duration

4 Months

Download Syllabus
Apply Now
  • Hurry! 665 people have already applied in the last 1 month
  • For enquiries call: Get Started

Introduction to SEO Specialist Course

Course Snapshot

Hours of Learning
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Industry Projects
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SEO Tools
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Finprov’s SEO Course is a two-month course that covers all the necessary aspects of search engine optimization, including digital marketing. It provides knowledge about on-page and off-page SEO, technical SEO, local SEO, and SEO for e-commerce. You’ll gain hands-on experience. Additionally, you’ll learn to perform keyword research, build quality backlinks, and apply advanced SEO techniques to improve website visibility. Our SEO training in Kochi covers all SEO topics. The valuable certification given at the end of the course helps learners get better career opportunities in the job market. Join us for hands-on projects and mentorship that can help you achieve a rewarding career as an SEO Specialist and help you excel in digital marketing.

  • Up-to-date Generative AI modules
  • Learn 10+ Generative AI tools, including a ChatGPT course
  • Upskill through real projects
  • Gen AI masterclasses by industry experts
  • upGrad Alumni Status
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Welcome to This In-Depth Learning Experience

A comprehensive program designed to help you master SEO, allowing you to acquire the skills to optimize websites, improve search rankings, and stay ahead in the digital marketing industry.

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Key Highlights of SEO Specialist Course

What Does This Course Have To Offer?

Our curriculum covers in-demand industry relevant topics

  • Keyword Research & Analysis
  • On-Page SEO Optimization
  • ChatGPT
  • Local SEO Strategies
  • Off-Page SEO & Link Building
  • E-commerce SEO Optimization
  • Google Analytics & SEO Reporting
  • Competitor Analysis
  • SEO Content Writing

Learn the essentials of SEO, such as keyword research and on-page optimization, to improve your digital marketing strategy and search engine rankings.

  • Marketing Professionals
  • Business Owners & Entrepreneurs
  • Content Creators & Bloggers
  • Freelancers & Consultants
  • Students & Career Changers
  • Web Developers & Designers

SEO is vital for everyone who wants to boost their internet presence. It allows you to optimize everything, from website content to search rankings.

  • SEO Specialist
  • SEO Analyst
  • SEO Manager
  • Content Marketing Strategist
  • Technical SEO Consultant
  • E-commerce SEO Manager
  • SEO Copywriter

The SEO course will prepare you for a variety of tasks in digital marketing, including search engine optimization, content strategy, and website analytics.

  • Generative AI Models
  • Transformers
  • ChatGPT
  • Prompt Engineering
  • Product Development
  • Product Development
  • Deploy Web Apps with Flask

Students must have completed Plus Two or a higher level certificate to be eligible for the SEO Specialist course.

Master SEO Specialist Program today!

Gain expertise in SEO, get certified, and develop the skills needed to grow your career in the digital marketing industry.

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Earn Valuable Credentials And Recognition

Enhance your career with the SEO Specialist course and develop essential skills for success in the digital marketing industry. Gain expertise in SEO strategies to boost your job prospects and stand out in the field.

WhatsApp Image 2025 01 10 at 15.32.20 1

Key Highlights of SEO Specialist Course

Earn valuable credentials and recognition

Enhance your career with the SEO Specialist course and develop essential skills for success in the digital marketing industry. Gain expertise in SEO strategies to boost your job prospects and stand out in the field.

WhatsApp Image 2025-01-10 at 15.32.20
WhatsApp Image 2025-01-10 at 15.32.20

Courses

Meet Our Experts

Acquire knowledge from our industry experts, who will support you on your journey to achieve your career goal.

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CA Ashna Bharath Pillai

Business & Tax Regulatory​

photoee

CA Ashna Bharath Pillai

Business & Tax Regulatory​

photoee

CA Ashna Bharath Pillai

Business & Tax Regulatory​

photoee

CA Ashna Bharath Pillai

Business & Tax Regulatory​

World-Class Curriculum

Master SEO Specialist with a World-Class Curriculum

Learn SEO with expert guidance, build practical skills, and confidently advance your career. Gain hands-on experience and master data-driven digital marketing strategies.

Download Syllabus

Duration : 7 Weeks

Machine Learning I:

This introductory course explores the foundational machine learning concepts, starting with Linear Regression and its practical applications. It then covers Logistic Regression and Naive Bayes, highlighting their use in classification tasks. Finally, the course covers model selection techniques to ensure the best performance of machine learning models in various scenarios.

Topics Covered:

  • Linear Regression
  • Linear Regression Assignment
  • Logistic Regression
  • Naive Bayes
  • Model Selection
  • Linear Regression
  • Linear Regression Assignment
  • Logistic Regression
  • Naive Bayes
  • Model Selection

Duration : 7 Weeks

Machine Learning I:

This introductory course explores the foundational machine learning concepts, starting with Linear Regression and its practical applications. It then covers Logistic Regression and Naive Bayes, highlighting their use in classification tasks. Finally, the course covers model selection techniques to ensure the best performance of machine learning models in various scenarios.

Topics Covered:

  • Linear Regression
  • Linear Regression Assignment
  • Logistic Regression
  • Naive Bayes
  • Model Selection
  • Linear Regression
  • Linear Regression Assignment
  • Logistic Regression
  • Naive Bayes
  • Model Selection

Duration : 7 Weeks

Machine Learning I:

This introductory course explores the foundational machine learning concepts, starting with Linear Regression and its practical applications. It then covers Logistic Regression and Naive Bayes, highlighting their use in classification tasks. Finally, the course covers model selection techniques to ensure the best performance of machine learning models in various scenarios.

Topics Covered:

  • Linear Regression
  • Linear Regression Assignment
  • Logistic Regression
  • Naive Bayes
  • Model Selection
  • Linear Regression
  • Linear Regression Assignment
  • Logistic Regression
  • Naive Bayes
  • Model Selection

Duration : 7 Weeks

Machine Learning I:

This introductory course explores the foundational machine learning concepts, starting with Linear Regression and its practical applications. It then covers Logistic Regression and Naive Bayes, highlighting their use in classification tasks. Finally, the course covers model selection techniques to ensure the best performance of machine learning models in various scenarios.

Topics Covered:

  • Linear Regression
  • Linear Regression Assignment
  • Logistic Regression
  • Naive Bayes
  • Model Selection
  • Linear Regression
  • Linear Regression Assignment
  • Logistic Regression
  • Naive Bayes
  • Model Selection

Duration : 7 Weeks

Machine Learning I:

This introductory course explores the foundational machine learning concepts, starting with Linear Regression and its practical applications. It then covers Logistic Regression and Naive Bayes, highlighting their use in classification tasks. Finally, the course covers model selection techniques to ensure the best performance of machine learning models in various scenarios.

Topics Covered:

  • Linear Regression
  • Linear Regression Assignment
  • Logistic Regression
  • Naive Bayes
  • Model Selection
  • Linear Regression
  • Linear Regression Assignment
  • Logistic Regression
  • Naive Bayes
  • Model Selection

Duration : 7 Weeks

Machine Learning I:

This introductory course explores the foundational machine learning concepts, starting with Linear Regression and its practical applications. It then covers Logistic Regression and Naive Bayes, highlighting their use in classification tasks. Finally, the course covers model selection techniques to ensure the best performance of machine learning models in various scenarios.

Topics Covered:

  • Linear Regression
  • Linear Regression Assignment
  • Logistic Regression
  • Naive Bayes
  • Model Selection
  • Linear Regression
  • Linear Regression Assignment
  • Logistic Regression
  • Naive Bayes
  • Model Selection

Duration : 7 Weeks

Machine Learning I:

This introductory course explores the foundational machine learning concepts, starting with Linear Regression and its practical applications. It then covers Logistic Regression and Naive Bayes, highlighting their use in classification tasks. Finally, the course covers model selection techniques to ensure the best performance of machine learning models in various scenarios.

Topics Covered:

  • Linear Regression
  • Linear Regression Assignment
  • Logistic Regression
  • Naive Bayes
  • Model Selection
  • Linear Regression
  • Linear Regression Assignment
  • Logistic Regression
  • Naive Bayes
  • Model Selection

Duration : 7 Weeks

Machine Learning I:

This introductory course explores the foundational machine learning concepts, starting with Linear Regression and its practical applications. It then covers Logistic Regression and Naive Bayes, highlighting their use in classification tasks. Finally, the course covers model selection techniques to ensure the best performance of machine learning models in various scenarios.

Topics Covered:

  • Linear Regression
  • Linear Regression Assignment
  • Logistic Regression
  • Naive Bayes
  • Model Selection
  • Linear Regression
  • Linear Regression Assignment
  • Logistic Regression
  • Naive Bayes
  • Model Selection

What you'll learn

  • Explain what Data Analytics is and the key steps in the Data Analytics process
  • Differentiate between different data roles such as Data Engineer, Data Analyst, Data Scientist, Business Analyst, and Business Intelligence Analyst
  • Describe the different types of data structures, file formats, and sources of data
  • Describe the data analysis process involving collecting, wrangling, mining, and visualizing data

Skills you'll gain

  • Model Selection
  • Data Analysis
  • Python Programming
  • Data Visualization
  • Predictive Modelling

What you'll learn

  • Explain what Data Analytics is and the key steps in the Data Analytics process
  • Differentiate between different data roles such as Data Engineer, Data Analyst, Data Scientist, Business Analyst, and Business Intelligence Analyst
  • Describe the different types of data structures, file formats, and sources of data
  • Describe the data analysis process involving collecting, wrangling, mining, and visualizing data

Skills you'll gain

  • Model Selection
  • Data Analysis
  • Python Programming
  • Data Visualization
  • Predictive Modelling

What you'll learn

  • Explain what Data Analytics is and the key steps in the Data Analytics process
  • Differentiate between different data roles such as Data Engineer, Data Analyst, Data Scientist, Business Analyst, and Business Intelligence Analyst
  • Describe the different types of data structures, file formats, and sources of data
  • Describe the data analysis process involving collecting, wrangling, mining, and visualizing data

Skills you'll gain

  • Model Selection
  • Data Analysis
  • Python Programming
  • Data Visualization
  • Predictive Modelling

What you'll learn

  • Explain what Data Analytics is and the key steps in the Data Analytics process
  • Differentiate between different data roles such as Data Engineer, Data Analyst, Data Scientist, Business Analyst, and Business Intelligence Analyst
  • Describe the different types of data structures, file formats, and sources of data
  • Describe the data analysis process involving collecting, wrangling, mining, and visualizing data

Skills you'll gain

  • Model Selection
  • Data Analysis
  • Python Programming
  • Data Visualization
  • Predictive Modelling

What you'll learn

  • Explain what Data Analytics is and the key steps in the Data Analytics process
  • Differentiate between different data roles such as Data Engineer, Data Analyst, Data Scientist, Business Analyst, and Business Intelligence Analyst
  • Describe the different types of data structures, file formats, and sources of data
  • Describe the data analysis process involving collecting, wrangling, mining, and visualizing data

Skills you'll gain

  • Model Selection
  • Data Analysis
  • Python Programming
  • Data Visualization
  • Predictive Modelling

What you'll learn

  • Explain what Data Analytics is and the key steps in the Data Analytics process
  • Differentiate between different data roles such as Data Engineer, Data Analyst, Data Scientist, Business Analyst, and Business Intelligence Analyst
  • Describe the different types of data structures, file formats, and sources of data
  • Describe the data analysis process involving collecting, wrangling, mining, and visualizing data

Skills you'll gain

  • Model Selection
  • Data Analysis
  • Python Programming
  • Data Visualization
  • Predictive Modelling

What you'll learn

  • Explain what Data Analytics is and the key steps in the Data Analytics process
  • Differentiate between different data roles such as Data Engineer, Data Analyst, Data Scientist, Business Analyst, and Business Intelligence Analyst
  • Describe the different types of data structures, file formats, and sources of data
  • Describe the data analysis process involving collecting, wrangling, mining, and visualizing data

Skills you'll gain

  • Model Selection
  • Data Analysis
  • Python Programming
  • Data Visualization
  • Predictive Modelling

What you'll learn

  • Explain what Data Analytics is and the key steps in the Data Analytics process
  • Differentiate between different data roles such as Data Engineer, Data Analyst, Data Scientist, Business Analyst, and Business Intelligence Analyst
  • Describe the different types of data structures, file formats, and sources of data
  • Describe the data analysis process involving collecting, wrangling, mining, and visualizing data

Skills you'll gain

  • Model Selection
  • Data Analysis
  • Python Programming
  • Data Visualization
  • Predictive Modelling

What you'll learn

  • Explain what Data Analytics is and the key steps in the Data Analytics process
  • Differentiate between different data roles such as Data Engineer, Data Analyst, Data Scientist, Business Analyst, and Business Intelligence Analyst
  • Describe the different types of data structures, file formats, and sources of data
  • Describe the data analysis process involving collecting, wrangling, mining, and visualizing data

Skills you'll gain

  • Model Selection
  • Data Analysis
  • Python Programming
  • Data Visualization
  • Predictive Modelling

What you'll learn

  • Explain what Data Analytics is and the key steps in the Data Analytics process
  • Differentiate between different data roles such as Data Engineer, Data Analyst, Data Scientist, Business Analyst, and Business Intelligence Analyst
  • Describe the different types of data structures, file formats, and sources of data
  • Describe the data analysis process involving collecting, wrangling, mining, and visualizing data

Skills you'll gain

  • Model Selection
  • Data Analysis
  • Python Programming
  • Data Visualization
  • Predictive Modelling

Instructors

abin 1

Abin Varghese

Chief technology officer

Untitled design 3

Pinky Mohan

Senior DM Trainer

sreejith

Sreejith T

Digital Marketing Trainer

SEO Specialist Course Highlights

Skills you'll acquire

On-Page SEO

Off-Page SEO

Technical SEO

Keyword Research

Content Writing

SEO Audit

Competitor analysis

SEO Specialist Course Career Outcomes

What our learners have achieved?

A quick summary of the placement support received by this program’s alumni

1000+

Placed Students

90%

Placement Rate

100+

Hiring Partners

100%

Placement Assistance

Top Recruiters

Group 1171274777
Group 1171274778
Group 1171274779
Group 1171274780

SEO Specialist Course Eligibility & Admissions

How To Apply

The application journey is simple and straightforward, and can be completed in three easy steps.

Apply Now

Fill the Application Form

Fill out the application form on the upGrad portal

Get Shortlisted

You will receive a shortlisting email based on your profile

Block Your Seat

Secure your seat by paying the course fee

Industry Experts - SEO Specialist Course

Learn from Industry Leaders And Experts

Transform Your Career And Become An Seo Specialist Expert Today!

Gain hands-on experience and industry knowledge to build a successful career in SEO. Learn from experts and step into a high-demand digital marketing field.

Download Syllabus

FAQ

Frequently Asked Questions

The application journey is simple and straightforward, and can be completed in three easy steps.

What is the scope of the SEO course?
The scope of this course is to prepare professionals for global careers as SEO Specialists in many multinational companies.

Yes. The course will teach you about on-page SEO in detail.

No, but learning basic SEO concepts would make the course much more effortless.

Anyone wanting to build a digital marketing career can enroll in this program.

The SEO Specialist Program teaches you how to increase your website’s Google ranks by employing keywords, content optimization, and other techniques.

     

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Finprov inspires the next generation of world-class accounting, finance, and digital marketing professionals with a combination of expert trainers and innovative learning methods. Explore us more on social media for updates, skill development sessions, expert interactions, and much more.

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