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Choose Your Perfect Course

E way Bill Course

Learn more about GST through our E-way bill course. It is natural to have so many questions in your head, like what e way Bill is, who needs to construct one, and what the necessary documents are required. This course is an exact answer to this question. This course will walk you through the process of creating an e-way bill. Build a solid foundation with E Way Bills through expert-led training.

No Cost EMI

Start Date

Starts at Rs. 6,458

Duration

0.7

Hrs

Download Syllabus
Apply Now
  • Finance
  • Online - Self Paced
  • 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 E way Bill Course

Course Snapshot

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

The E-Way Bill Course will teach you everything there is to know about India’s digital transport documentation system for GST. You will learn to use the E-Way Bill system properly and adhere to the requirements. Whether you work with finances, manage a business, provide tax advice, or transport goods, this course helps you understand the fundamentals of E-Way Bills and their everyday requirements. Learning about legal requirements, procedures, and practical aspects of E-Way Bill compliance is good.

  • 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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Why Choose the E-Way Bills Course?

Gain practical accounting abilities that you may use straight now in your career. Learn from industry specialists who will help you achieve success.

    

Download Brochure

Key Highlights of E way Bills Course

What does this course have to offer?

Our curriculum covers in-demand industry relevant topics

  • E-Way Bill Generation
  • E-Way Bill Cancellation
  • ChatGPT
  • E-Way Bill Tracking
  • GST Compliance for E-Way Bills
  • E-Way Bill Reporting
  • Understanding E-Way Bill Rules
  • Handling E-Way Bill Validity
  • E-Way Bill for Inter-State Transactions
  • E-Way Bill Documentation and Filing
  • E-Way Bill for Intra-State Transactions

Learn the fundamentals of E-Way Bills, including creation, cancellation, and tracking, to simplify GST compliance and enhance logistics management. 

  • Business owners and entrepreneurs
  • GST consultants and tax professionals
  • Logistics and supply chain managers
  • Accountants and finance professionals
  • Compliance officers
  • Students and professionals aiming for careers in taxation and GST

The E-Way Bill program is intended for those involved in GST compliance, invoicing, and supply chain management. It enables professionals to efficiently manage the development, tracking, and cancellation of e-way bills, ensuring smooth business operations.

  • GST Consultant
  • Compliance Officer
  • Logistics Coordinator
  • Supply Chain Manager
  • Taxation Expert
  • Accounting and Tax Associate
  • E-Way Bill Administrator

Once you finish the E-Way Bill training, you can look for work in GST compliance, supply chain management, or tax consulting. These skills make it possible to get jobs in many different fields and ensure that things run smoothly and rules are followed.

  • 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 E-way bill course.

Kickstart Your E way Bill Journey Today

You can begin by taking the E-way Bill course to familiarize yourself with accounting software and gain the skills needed for financial management success.

Download Syllabus

Earn Valuable Credentials And Recognition

Make your resume stand out with an Advanced Certification in Tally Prime and boost your accounting career.

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Key Highlights of Generative AI Course

Earn valuable credentials and recognition

Make your portfolio stand apart with an Advanced Certification in Generative AI

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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 E way Bills with a World-Class Curriculum

Gain practical knowledge in GST compliance, learn E-Way Bill management from industry experts, and confidently grow in your profession. Acquire helpful knowledge to handle e-way invoices effectively.

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

Instructors

Group 1722

IBM Skills Network Team

IBM
58 Courses • 1,041,505 learners

Group 1722

IBM Skills Network Team

IBM
58 Courses • 1,041,505 learners

E Way Bill Course Highlights

Skills You Will acquire

E-Way Bill Generation

GST Compliance Management

E-Way Bill Tracking

Tax Documentation Handling

E-Way Bill Cancellation

Supply Chain Management

Logistics Documentation Skills

E way Bill 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

E way Bill 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 - Digital Marketing and Communications

Learn from Seasoned Industry Practitioners

Master E-Way Bills and simplify GST compliance!

Gain market knowledge and practical experience to start a successful accounting career. Enter a field in great demand after training under the direction of professionals.

Download Syllabus

FAQ

Frequently Asked Questions

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

Can this course help in career growth?

Yes! This course can land you in more superior job roles according to your experience.

 Depending on the industry, job role, and candidate’s experience, these graduates typically earn between ₹2.5 and 7 LPA

Prior GST Knowledge is unnecessary as we will provide adequate training to excel in these areas.

This course is open to anyone wanting to become an E Way Bill Professional.

Many institutions offer flexible payment options for this course, such as installments and online payment methods.

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