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PG Diploma in Digital Marketing & E-Commerce Certification Program

Acquire advanced digital marketing skills with the Digital Marketing and E-Commerce certification Program. Learn SEO, social media, PPC, content marketing, and more through practical training.

Offline Fees

Starts at Rs. 76699

Online Fees

Starts at Rs. 64900

Duration

6 Months

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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.

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Starts at Rs. 6,458

Start Date

Starts at Rs. 6,458

Duration

4 Months

Introduction to PG Diploma in Digital Marketing & E-Commerce Certification Program

Course Snapshot

Hours of Learning
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Industry Projects
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Finprov’s PG Diploma in Digital Marketing & E-Commerce Certification Program helps candidates learn the skills to grow businesses using digital marketing. It covers key topics like an introduction to digital marketing, how to use Google tools for better marketing, running ads on different platforms, SEO, understanding popular tools and metrics in digital marketing and more.  This is a 6 month course which is available in both online and offline methods whereas learners will select their preferred mode of learning as per their wish. By joining this digital marketing training institute, learners will develop essential skills like email marketing, search engine marketing, social media marketing, SEO, and video marketing. 



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Comprehensive Curriculum

An expertly prepared program that covers the latest digital marketing techniques and tools to confirm your success.

Key Highlights of PG Diploma in Digital Marketing & E-Commerce Certification Program

What does this course have to offer?

Our curriculum covers in-demand industry relevant topics

Participants will acquire skills on SEO, social media marketing, Google Ads, content marketing, email marketing, e-commerce strategies, web analytics, and campaign management.

This program is perfect for anyone looking to master digital marketing and e-commerce strategies. Whether you want to build a career, grow a business, or offer freelance services, this course equips you with the skills to succeed in the digital world.

This program opens doors to high-demand roles in digital marketing and e-commerce. Whether you aim to work with top brands, grow your own business, or offer freelance services, you’ll have the expertise to drive online success.

Anyone with basic computer knowledge can join. No prior accounting experience is required.

Become an expert in Digital Marketing today!

Learn important marketing strategies, practice with real-world examples, and get hands-on experience with top digital tools to grow your skills.



Earn Valuable Credentials And Recognition

Take your career to the next level with a Digital Marketing Certification and stand out in a competitive job market.

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Key Highlights of PG Diploma in Digital Marketing & E-Commerce Certification Program

Earn valuable credentials and recognition

Take your career to the next level with a Digital Marketing Certification and stand out in a competitive job market.

Courses

Meet Our Expert Team

Learn from industry experts who will guide and support you throughout your journey, helping you achieve your career goals

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CA Ashna Bharath Pillai

Business & Tax Regulatory​

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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​

World-Class Curriculum

Master Digital Marketing with a World-Class Curriculum

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

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:

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:

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:

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:

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:

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:

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:

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:

What you'll learn

Skills you'll gain

What you'll learn

Skills you'll gain

What you'll learn

Skills you'll gain

What you'll learn

Skills you'll gain

What you'll learn

Skills you'll gain

What you'll learn

Skills you'll gain

What you'll learn

Skills you'll gain

What you'll learn

Skills you'll gain

Instructors

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Abin Varghese

Chief technology officer

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Pinky Mohan

Senior DM Trainer

sreejith

Sreejith T

Digital Marketing Trainer

PG Diploma in Digital Marketing & E-Commerce Certification Program Highlights

Skills you'll acquire

Search Engine Marketing (SEM)

Social Media Marketing (SEO)

WordPress

Digital Marketing Tools

Google Ads

Social Media Marketing ( SMM)

Content Marketing

PG Diploma in Digital Marketing & E-Commerce Career Outcomes

What our learners have achieved?

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

32%

Avg. Salary Hike

86%

Learners Achieving their Outcomes

3500+

Successful Transitions

250+

Hiring Partners

Top Recruiters

PG Diploma in Digital Marketing & E-Commerce Program Eligibility & Admissions

How To Apply

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

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 -PG Diploma in Digital Marketing & E-Commerce Program

Learn from Industry Experts

Transform your career and become a Digital Marketing Expert today!

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



FAQ

Frequently Asked Questions

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

What is this program about?

The PG Diploma in Digital Marketing & E-Commerce Certification Program that covers digital marketing and e-commerce skills like SEO, social media marketing, Google Ads, and managing online stores.

Anyone interested in the digital marketing sector can join this course.

The course covers SEO, social media marketing, online ads, e-commerce website management, email marketing, analytics, and AI tools.



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

Yes, Practical training will be given.



Download Syllabus

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