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International Busines Accounting Professional (IBAP) Course

 

Discover your full potential with the IBAP course! Gain expert-level business accounting and taxation expertise, and propel your career to new heights. Equip yourself with the necessary abilities to succeed in the fast-paced world of banking and taxes. Invest in this professional accounting course now!



Online Fees

Starts at Rs. 25000

Hours of Learning

60 Hrs

Duration

3.5 Months

Download Syllabus
Apply Now
  • Finance
  • Online Live
  • 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 Generative AI Course

Course Snapshot

Hours of Learning
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Industry Projects
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GenAI Tools
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This professional business accountant course is a comprehensive online curriculum designed to serve as a foundation for anyone looking to begin a successful career in accounting and finance. The course focuses on corporate finance, financial statement analysis, and investment strategies, preparing individuals to manage complicated financial operations and giving expert advice services. This professional business accountant course is designed for people who want to excel in finance and tax to stand out in a competitive market. This course will give you the skills needed to succeed in accounting and taxation, helping you advance your career.

  • 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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Master Accounting with Practical Skills

A comprehensive program designed to help you master business accounting and taxation, equipping you with the skills to excel in the finance industry.

Download Brochure

Key Highlights of IBAP Course

What does this course have to offer?

Our curriculum covers in-demand industry relevant topics

  • Financial Accounting & Reporting
  • Corporate Taxation & GST
  • Tax Planning & Compliance
  • Payroll Management
  • Financial Statement Analysis
  • Risk Management & Fraud Prevention
  • Business Accounting Software Proficiency
  • International Tax Laws & Regulations

Learn the fundamentals of IBAP, such as tax planning, financial reporting, and compliance management, to improve your accounting and tax procedures.

  • Accounting Professionals
  • Tax Consultants & Advisors
  • Finance Managers
  • Entrepreneurs & Business Owners
  • Graduates in Commerce or Finance
  • Professionals Seeking Career Advancement in Accounting & Taxation
  • Individuals Interested in International Tax Laws

IBAP is ideal for anyone wishing to expand their accounting and tax knowledge. It addresses critical issues like financial reporting, tax planning, and payroll management.

  • Business Accountant
  • Tax Consultant
  • GST Specialist
  • Financial Analyst
  • Payroll Manager
  • Tax Advisor

The IBAP course will prepare you for various accounting, taxation, payroll management, and financial analysis positions.

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

Students must have completed any degree from a recognizable university to be eligible for the IBAP course.

Master Accounting Today!

Learn business accounting and taxation, get certified, and build the skills needed to grow your career in the finance industry.

Download Syllabus

Key Highlights of IBAP Certification

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

Learn more about the experts who will be supporting your learning
journey and helping you achieve your career goals
Ashna 2

CA Ashna Bharath Pillai

Chief Financial Officer

Veena 4

CA Veena Vijayan

Chief Academic Officer

Anish 2

CA Anish Thomas

Academic Head - Karnataka

Tanya 2

CA Taniya Mathew

Academic Head - Kerala

World-Class Curriculum

Master IBAP with a World-Class Curriculum

Learn IBAP with professional help, develop practical accounting abilities, and grow your career confidently. Practice and gain the knowledge to handle business accounting tasks efficiently.

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

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

IBAP Course Highlights

Skills you'll acquire

Accounting

Taxation

Compliance

Reporting

Budgeting

GULF VAT

TDS Filing

IBAP Course Highlights

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

IBAP 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 - IBAP

Learn from Industry Leaders And Experts

Become an Accounting Expert with IBAP in 3.5 Months

Advance your accounting profession and gain practical experience and industry-relevant competence. Get expert-led training to acquire vital financial skills and enter a high-demand job.

Download Syllabus

FAQ

Frequently Asked Questions

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

Which software will I get exposure to in this business accounting and taxation course?

In the course module, you will learn to use several softwares like Tally and SAP FICO.

Prior Accounting experience is unnecessary as we will provide adequate training to excel in these areas.

Yes, we can take this course online. This course is an excellent option for anyone who wants to learn at their own pace.

Graduates can pursue roles such as Accounts Executive, Tax Consultant, GST Practitioner, Financial Analyst, Payroll Specialist and many more.

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

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