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

PPC Specialist Program

Master the art of paid advertising with our PPC course. Learn how to create high-performing ad campaigns, manage budgets effectively, and analyze key metrics for better results. Finprov’s PPC Specialist Program is for anyone who wants to excel at pay-per-click advertising. It provides you with skills such as Social media advertising on platforms such as Facebook, Instagram, Twitter, and LinkedIn, along with the best strategies to increase your social media presence. Our experienced faculty members provide valuable insights and guidance throughout the program, ensuring you become a PPC expert. 

Offline Fees

Starts at Rs. 17700

Online Fees

Starts at Rs.11250

Duration

2 Months

Download Syllabus
Apply Now
  • Digital Marketing
  • Grammarly
  • Online & Offline
  • English
  • Hurry! 665 people have already applied in the last 1 month
  • For enquiries call: Get Started
website image 25

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 PPC Specialist Course

Course Snapshot

Hours of Learning
0 +
Industry Projects
0 +
Tools
0 +

Finprov offers the PPC Specialist Course, a two-month course covering the overall concepts of PPC advertising. Our Program also covers Inbound marketing, Influencer marketing, Google Ads, and social media advertisements, allowing you to understand how to implement PPC strategies thoroughly. Our PPC Specialist Program helps you get certified in Google Adwords and PPC advertising. We provide PPC training for both graduates and professionals. Our online and offline methods are designed to give flexible learning to learners. With the best faculties and live training, the PPC Course allows learners to become experts in the field. 

  • 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 15

Start Your Path to Expertise Today

A complete program to help you learn PPC, giving you the skills to create ads, manage budgets, and bring more visitors to websites for better results in digital marketing.

Download Brochure

Key Highlights of PPC Specialist Course

What Does This Course Have To Offer?

Our curriculum covers in-demand industry relevant topics

  • Keyword Research & Selection
  • Campaign Creation & Management
  • Ad Copywriting & Design
  • Bid Management & Budgeting
  • Targeting & Audience Segmentation
  • Conversion Tracking & Analytics
  • A/B Testing & Optimization
  • Google Ads & Bing Ads Expertise
  • Remarketing Strategies

Understand the fundamentals of PPC, including keyword bidding and ad targeting, to improve your digital advertising strategy and increase conversions.

  • Social Media Managers
  • Students & Career Changers
  • Digital Marketing Enthusiast
  • Business Owners & Entrepreneurs
  • Content Creators & Bloggers
  • Marketing Professionals

PPC is vital for everyone who wants to increase their internet visibility. It allows you to optimize everything, including marketing campaigns and conversion rates.

  • PPC Specialist
  • Digital Advertising Manager
  • Google Ads Specialist
  • SEM Specialist
  • PPC Campaign Manager
  • Social Media Advertising Expert
  • E-commerce PPC Manager

The PPC course will teach you how to run pay-per-click campaigns, create ad strategies, and analyze results.

  • 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 PPC Specialist course.

Master PPC Specialist Program today!

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

Download Syllabus

Earn Valuable Credentials And Recognition

Boost your career with the PPC Specialist course and learn essential skills for digital marketing. Get expert knowledge in online ads to improve job opportunities and stand out.

WhatsApp Image 2025 01 10 at 15.32.20 1

Key Highlights of PPC Specialist Course

Earn valuable credentials and recognition

Boost your career with the PPC Specialist course and learn essential skills for digital marketing. Get expert knowledge in online ads to improve job opportunities and stand out.

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

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 PPC Specialist with a World-Class Curriculum

Learn PPC from experts, gain practical skills, and run successful online ad campaigns. Get hands-on experience and grow your career in digital marketing.

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

Instructors

abin 1

Abin Varghese

Chief technology officer

Untitled design 3

Pinky Mohan

Senior DM Trainer

sreejith

Sreejith T

Digital Marketing Trainer

PPC Specialist Course Highlights

Skills You Will Acquire

Facebook Ads

Social Media Marketing

Pay-Per-Cick Advertising

Inbound Marketing

Marketing Analytics

ROI Tracking

Bidding Strategies

PPC 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

PPC 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 - PPC Specialist Course

Learn from Industry Leaders And Experts

Transform Your Career And Become A PPC Specialist Expert Today!

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

Download Syllabus

FAQ

Frequently Asked Questions

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

What does PPC stand for?
PPC stands for Pay-per-click.

Yes. This course will teach you about Google ads and their optimization in detail.

The scope of this course is to prepare professionals for global careers as PPC Specialists in many multinational companies.

The course typically takes 2 months to complete.

Graduates willing to learn about Digital Marketing and online advertising are often eligible to enroll in this course.

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

Get Your Course Syllabus

Download a detailed syllabus with course information, key topics, module breakdowns, assessment criteria,  and more.

Join us on social media for news, tips, and course updates!

X-twitter Linkedin Instagram Facebook

Unlock Your Future – Apply Now and Jumpstart Your Career!




Send Otp
No learning mode selected.

 ✅ Master In-Demand Skills

 ✅ Get Job-Ready Fast