Get courses worth Rs. 12,000 for FREE! 🔥 Only for selected students.

Sign in

Get Started
  • Home
  • Marketing
  • Advanced Certificate in Digital Marketing and Communication
  • Home
  • Marketing
  • Advanced Certificate in Digital Marketing and Communication

Choose Your Perfect Course

Digital Marketing Foundation Program

Learn the basics of digital marketing with the Digital Marketing Foundation Program, a complete course designed to help you build strong marketing skills.

Offline Fees

Starts at Rs. 11800

Online Fees

Starts at Rs.8850

Duration

1 Months

Download Syllabus
Apply Now
  • Digital Marketing
  • Grammarly, Canva, moz, Google page speed insights
  • Online & Offline
  • Malayalam
  • Hurry! 665 people have already applied in the last 1 month
  • For enquiries call: Get Started
website image 22 1

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 Foundation Program

Course Snapshot

Hours of Learning
0 +
Extensions
0 +
Tools
0 +

Get empowered digitally and start earning smartly! Our digital marketing training institute is thoughtfully designed to help every student take advantage of the latest job opportunities. Beginning with the basics, it covers all the critical topics essential for success in the digital world. When you complete our course, learners will get a Meta Associate Certification, HubSpot, and Google Digital Unlocked, which can help you find great jobs in digital marketing.  We focus on real-life examples and assignments to give you practical experience that allows you to stand as a top talent in the job market. We offer our classes in both the online and offline method and also our personalized support makes learners clear their doubts at any time.

  • 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
website image 30

Comprehensive Curriculum

A well-designed syllabus by experts covering the latest digital marketing skills and tools to help you succeed.

Download Brochure

Key Highlights of Digital Marketing Foundation Program

What does this course have to offer?

Our curriculum covers in-demand industry relevant topics

  • SEO
  • Social Media Marketing
  • Google Ads
  • Content Marketing Strategies
  • Email Marketing
  • Web Analytics
  • Influencer marketing

This program equips you with essential digital marketing skills to boost online visibility, drive traffic, and grow businesses effectively.

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

This program is perfect for anyone looking to build a strong foundation in digital marketing. Whether you’re starting your career or growing a business, you’ll gain the skills to create effective online marketing strategies.

  • Digital Marketing Executive
  • SEO Executive
  • SMM Executive
  • Content Marketing Executive
  • PPC Analyst
  • Email Marketer

This program prepares you for exciting roles in the digital marketing industry. Whether you want to work for a company, start your own business, or offer freelance services, you’ll have the skills to grow and succeed.

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

Anyone with basic computer and internet knowledge can join. No prior experience in digital marketing is required.

Start learning Digital Marketing Foundation Program 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

Make your resume stand out with a Certification in Digital Marketing and boost your career in the digital marketplace.

WhatsApp Image 2025 01 10 at 15.32.20 1

Key Highlights of Digital Marketing Foundation Program

Earn valuable credentials and recognition

Make your resume stand out with a Certification in Digital Marketing and boost your career in the digital marketplace.

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

Courses

Meet Our Expert Team

Learn more about the experts who will be supporting your learning
journey and helping you achieve your career goals
photoee

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 Digital Marketing Foundation Program with a World-Class Curriculum

Learn Digital Marketing Foundation Program with expert guidance, 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

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

Pinky Mohan

Digital Marketing Trainer

Digital Marketing Foundation Program Course Highlights

Skills you'll acquire

Search Engine Marketing (SEM)

Social Media Marketing (SMM)

Content Marketing

Google Ads

Influencer marketing

Branding

Analytics

Digital Marketing Foundation Program 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 Foundation 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 Foundation 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.

Download Syllabus

FAQ

Frequently Asked Questions

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

What is included in the digital marketing foundation program?
Dedicated Student Support Team

Get help anytime through the learning helpline.

Access the ‘Call Back’ option for urgent queries regarding the Generative AI program.

Get quick doubt resolution from peers, teaching assistants from the Gen AI training course

Receive personalized feedback on assignments and case studies

Get specialized feedback on projects/assignments

Attend regular live classes by experts to address doubts regarding Generative AI courses

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

Popular Courses

Browse Topics

Upskill

Blog

Contact Us

X-twitter Linkedin Facebook

Explore

Links

Our Locations

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.

CIN – U80904KL2019PTC057613

2025 © Finprov Learning . All rights reserved

Download Syllabus

Unlock Your Future – Apply Now and Jumpstart Your Career!

Send Otp

 ✅ Master In-Demand Skills

 ✅ Get Job-Ready Fast