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  • Advanced Certificate in Digital Marketing and Communication
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  • Advanced Certificate in Digital Marketing and Communication

Choose Your Perfect Course

Digital Marketing Specialist Program

Gain advanced digital marketing skills with the Digital Marketing Specialist Program. Learn SEO, social media, PPC, content marketing, and more through practical training.

Offline Fees

Starts at Rs. 60000

Online Fees

Starts at Rs. 29500

Duration

4 Months

Download Syllabus
Apply Now
  • Digital Marketing
  • Google analytics
  • Online & Offline
  • Malayalam, 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 Digital Marketing Specialist Program

Course Snapshot

Hours of Learning
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Industry Projects
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GenAI Tools
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Finprov’s Digital Marketing course is designed thoughtfully to empower every student to utilize the latest job opportunities. Digital marketing is a growing field that offers many job opportunities in different industries. The future of digital marketing depends on effectively using digital tools, making it essential for businesses and job seekers. With support from experienced professionals, you will gain all the tools necessary to succeed in the online digital world.  Upon completing the digital marketing course, learners will get certifications that can surely work as a game-changer for those aiming to succeed with the latest technologies.

  • 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
Group 44

Comprehensive Curriculum

A comprehensive program designed by experts, covering the latest digital marketing strategies and tools for your success.

Download Brochure

Key Highlights of Digital Marketing Specialist Program

What Does This Course Have To Offer?

Our curriculum covers in-demand industry relevant topics

  • Introduction to Digital Marketing
  • Search Engine Optimization
  • Inbound Marketing
  • Influencer Marketing
  • Social Media Marketing
  • Search Engine Marketing

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

  • Students and Fresh Graduates
  • Marketing Professionals
  • Business Owners and Entrepreneurs
  • Freelancers and Consultants
  • Startups and Small Business Owners

This program is designed for anyone looking to become a digital marketing expert. Whether you’re starting your career, growing a business, or offering freelance services, you’ll gain advanced skills to create and manage successful digital marketing campaigns.

  • Digital Marketing Manager
  • SEO Specialist
  • Social Media Strategist
  • PPC Campaign Manager
  • Content Marketing Manager
  • Email Marketing Specialist
  • E-Commerce Marketing Manager

This program prepares you for high-demand roles in the digital marketing industry. Whether you want to work with top brands, startups, or as a freelancer, you’ll have the expertise to drive online growth and business success.

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

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



Start your Digital Marketing journey today!

Learn essential marketing strategies, explore real-world applications, and gain hands-on experience with top digital tools to grow your skills.

Download Syllabus

Earn Valuable Credentials And Recognition

Boost your career with an Advanced Digital Marketing Certification and stand out in the competitive job market.



WhatsApp Image 2025 01 10 at 15.32.20 1

Key Highlights of Digital Marketing Specialist Program

Earn valuable credentials and recognition

Boost your career with an Advanced Digital Marketing Certification and stand out in the competitive job market.



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

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.

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

Instructors

abin 2

Abin Varghese

Chief technology officer

pinky

Pinky Mohan

Senior DM Trainer

sreejith 1

Sreejith T

Digital Marketing Trainer

Digital Marketing Specialist Program Highlights

Skills You Will Acquire

Email marketing

Search engine optimization

Affiliate marketing

Search engine marketing

Analytics

Social media marketing

Content marketing

Digital Marketing Course 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

Group 1171274777
Group 1171274778
Group 1171274779
Group 1171274780

Digital Marketing Specialist Program 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 - Digital Marketing Specialist Program.

Learn from Industry Leaders And 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.

Download Syllabus

FAQ

Frequently Asked Questions

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

Are the classes available online?

Yes, both online and offline classes are available.

After completing the course, participants can work as an SEO expert, content writer, digital marketing professional etc.

This program includes SEO, digital marketing tools, SMM, Google ads etc.

Both beginners or professionals can join this program.

This program gives all the skills and knowledge that are needed in the digital marketing sector that leads to better career opportunities.

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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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