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AI in Finance Program

Learn how AI can be used in your everyday finance work with our AI in Finance Program. You’ll build a strong finance foundation while gaining hands-on experience with AI tools such as automated data analysis, AI-powered Excel, Power BI, Tableau, LLMs, and prompt engineering.

You’ll see how AI can support tasks across accounting, financial reporting, taxation, compliance, audit, risk management, fraud detection, forecasting, and financial planning. You’ll also learn how to use AI-generated formulas and code to handle routine tasks more efficiently.

With practical sessions and a hands-on capstone project, the program helps you apply what you learn to real finance tasks and make better, data-driven decisions.

Online fees

Starts at Rs. 25000

Start Date

Starts at Rs. 6,458

Duration

Hrs

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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

Introduction to AI in Finance Program

Course Snapshot

Hours of Learning
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Industry Projects
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GenAI Tools
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Take the next step in your finance career with our AI in Finance Program (AIF), bringing together finance knowledge and emerging technologies for today’s evolving business environment. The program explores how AI can be applied across key finance functions, including accounting, financial reporting, taxation, compliance, audit, risk management, forecasting, financial planning, advisory, and period-end activities. With practical learning and industry-relevant use cases, you’ll gain hands-on experience in applying AI to everyday finance processes and improving efficiency. The program concludes with a practical capstone project, including a project briefing, scope, demo, and panel evaluation so that you can put your learning into practice.

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Build Your Future with AI-Powered Finance Skills!

Stay ahead in the evolving finance industry with practical AI knowledge and skills. Strengthen your finance career with the power of artificial intelligence.

Key Highlights of the AI in Finance Program

What does this course have to offer?

Our curriculum covers in-demand industry relevant topics

The AI in Finance Program helps you explore new career opportunities as AI becomes part of everyday finance work, including accounting, financial analysis, automation, risk management, financial planning, and business advisory.

This AI in Finance Program suits individuals who want to strengthen their finance skills with AI, whether they are advancing their careers, exploring new opportunities, transitioning into AI-driven finance roles, or expanding their existing expertise.

This Program opens pathways to emerging career opportunities in AI-driven finance roles across accounting, financial analysis, automation, risk management, financial planning, and business advisory.

The minimum eligibility for this program is graduation from a recognised university, along with basic finance knowledge and an interest in artificial intelligence.

Power Your Finance Career with AI!

Learn how AI can be used in modern finance and build practical skills in financial analysis, automation, reporting, and decision-making.

Key Highlights of the AI in Finance Program

Strengthen Your Profile with AI Finance Certification

Earn an AI in Finance certification and boost your skills for a technology-driven financial workplace. Achieve practical knowledge that can enhance your professional profile and open pathways to emerging finance career opportunities.

Courses

Meet Our Expert Team

Learn more about the experts who will be supporting your learning
journey and helping you achieve your career goals
Image of CA Anand Kumar

CA Anand Kumar

Founder & Chairman

Image of CA Anish Thomas

CA Anish Thomas

Academic Head - Karnataka

Image of CA Taniya

CA Taniya Mathew

Academic Head - Kerala

World-Class Curriculum

Learn the Future of Finance with a World-Class Curriculum

Get ready for the changing finance industry with practical AI knowledge. Explore AI applications in accounting, reporting, compliance, risk management, forecasting, and other essential finance functions.

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:

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:

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:

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:

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:

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:

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:

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:

What you'll learn

Skills you'll gain

What you'll learn

Skills you'll gain

What you'll learn

Skills you'll gain

What you'll learn

Skills you'll gain

What you'll learn

Skills you'll gain

What you'll learn

Skills you'll gain

What you'll learn

Skills you'll gain

What you'll learn

Skills you'll gain

Instructors

abin 1

Abin Varghese

Chief technology officer

Amal - digital marketing trainer 3

Abdulla Amal

Digital Marketing Trainer

sreejith

Sreejith T

Digital Marketing Trainer

AI in Finance Program Highlights

Skills you'll acquire

Analytical Thinking

Problem-Solving

Critical Thinking

Decision-Making

Adaptability

Attention to Detail

Communication Skills

Strategic Thinking

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

Digital Marketing Course Eligibility & Admissions

How To Apply

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

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

Transform Your Finance Career with AI Skills!

Gain practical experience in AI-powered finance and develop industry-relevant skills for the evolving financial sector. Learn from experienced professionals and prepare yourself for emerging career opportunities at the intersection of finance and technology.

FAQ

Frequently Asked Questions

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

Is this course suitable for AI beginners?

Yes. If you are new to AI, you can still join this course. It starts with the basics, then shows you how to use AI in finance. You do not need any advanced AI or programming knowledge to get started.

No. You do not need prior programming experience. The course focuses on practical ways to use AI in finance, including working with formulas, code, automation, data analysis, and reporting.

Yes. The course shows you how to use AI in everyday finance work, including data analysis, reporting, documentation, forecasting, compliance, and financial planning. You can learn ways to use AI to make some of these tasks easier and more efficient.

Yes. You’ll learn how AI can be used in accounting and financial reporting, including working with financial statements, documentation, period-end tasks, and other day-to-day accounting work.

Yes. Accounting professionals can learn practical ways to use AI for tasks such as reporting, compliance, documentation, data analysis, and routine finance work. These skills can also help them adapt to AI’s growing use in the finance industry.

A regular finance course primarily focuses on finance concepts and processes, while an AI in Finance course combines finance knowledge with practical AI applications. This program mainly focuses on using AI to improve analysis, automation, reporting, forecasting, compliance, and decision-making.

Get Your Course Syllabus

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

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