Machine Learning for Finance
Machine Learning for Finance
Discover how AI & ML are revolutionizing the finance industry. This self-paced program offers 37+ hours of expert-led content designed to help you develop practical machine learning skills with R programming, taught by IIT Kanpur faculty.
Duration
40 Hours of Self-paced learning
Programme Fee
Enrol for 80,000 + GST
Faculty
Prof. Abhinava Tripathi
LMS Access
6 Months
Program Overview
- Learn from cybersecurity experts with real-world experience.
- Explore cutting-edge trends, tools, and methodologies in bug hunting and ethical hacking.
- Acquire practical experience through immersive case studies and hands-on projects.
- Forge connections with professionals and alumni for collaboration opportunities.
- Gain hands-on experience through capstone projects and simulated scenarios.
- Deepen understanding of cybersecurity operations and bug hunting techniques.
- Prepare to tackle genuine cybersecurity challenges in your preferred industry.
What You will Learn
R Programming
Hands-on training to build machine learning models.
Finance Applications
Practical case studies on wealth management, credit scoring, and algorithmic trading.
AI & ML Fundamentals
Supervised, unsupervised learning, reinforcement learning, and more.
Real-World Projects
Implement solutions to financial problems with programming.
Course Structure & Learning Modules
Module 1: Understanding the Value of a Firm
Lesson 1: Goals of a Firm
Lesson 2: Cash Flow Discounting
Lesson 3: Making Investment Decisions
Module 2: Valuation of Fixed Income Securities and Stocks
- Lesson 1: Valuation of Fixed Income Securities
- Lesson 2: Valuation of Common Stocks
Module 3: Risk
- Lesson 1: Introduction to Risk and Return
- Lesson 2: Portfolio Theory and Asset Pricing Models
Module 4: Cost of Capital
Lesson 1: Cost of Capital
Module 5: Theory of Efficient Capital Markets
Lesson 1: Theory of Efficient Capital Markets
Module 6: Introduction to Probability Theory
- Lesson 1 : Introduction and Background to Probability Theory
- Lesson 2 : Conditional Probabilities and Bayes Theorem
Module 7: Introduction to Probability Distribution and Random Variables
- Lesson 1 : Random Variables and Probability Distributions
- Lesson 2 : Binomial Distribution
- Lesson 3 : Continuous Random Variables and Normal Distribution
Module 8: Descriptive Statistics
- Lesson 1: Measures of Central Tendency
- Lesson 2: Measures of Variability and Shape
Module 9: Sampling, Inferential Statistics, and Hypothesis testing
- Lesson 1: Sampling
- Lesson 2: Central Limit Theorem and Confidence Intervals
- Lesson 3: Hypothesis Testing
Key Features
IIT Kanpur Faculty
Learn from IIT Kanpur faculty and industry experts.
AI-based financial models
Hands-on experience with AI-based financial models.
Master Classes
One live session per month for doubt clarification.
Networking
Engage with leading academics, researchers, and professionals.
Why Learn with E&ICT Academy, IIT Kanpur
- Equip yourself with AI & ML skills to solve real-world financial problems
- Acquire practical experience through Immersive Case Studies and hands-on projects.
- Develop connections with professionals and alumni for collaboration opportunities.
- Capstone Projects and Simulated Scenarios.
Faculty Details
Prof. Abhinava Tripathi
Prof. Abhinava Tripathi is a Faculty of Finance and Accounting at the Department of Management Sciences, Indian Institute of Technology, Kanpur. Previously, he was working at DOMS, IIT Roorkee. He has completed his Ph.D. degree from the Indian Institute of Management, Lucknow. He has done his B-Tech. from the Indian Institute of Technology, Roorkee, and his MBA from the Indian Institute of Management, Kozhikode. He has more than 5 years of industry experience in investment banking, corporate banking, credit rating, and project finance advisory firms. His current research focuses on market microstructure and liquidity in global financial markets.
Who Should Enroll?
Program Certificate
- Undergraduates in management, engineering, or finance seeking to develop AI skills.
- Business Analysts and Executives aiming for a career shift or enhancement in finance.
- Finance Professionals (analysts, bankers, credit analysts) wanting to leverage AI in their roles.
- Entrepreneurs and Data Scientists exploring AI applications in financial services.
Program Fee
TOTAL PROGRAM FEE
₹ 1,00,000
₹80,000
*excluding GST
- Course Type : Self-paced
- Course Content : 40 Hours
- Skill Level : Basic to Intermediary
- Assessments : MCQ Based Test
Frequently Asked Questions
What is the duration of the course?
The course is 14 weeks long, covering a total of 37 hours and 51 minutes of content. You will have access to self-paced videos, and there will also be one live doubt-clearing session per month.
What kind of certificate will I receive after completing the course?
Upon successfully completing the course and passing the assessments, you will receive a certificate from E&ICT Academy, IIT Kanpur, which can help enhance your profile and career prospects.
Is this course suitable for beginners?
Yes! This course is designed for learners with a basic understanding of statistics and programming. It is ideal for students and professionals at a basic to intermediary skill level looking to apply AI and ML in the finance industry.
What programming languages or tools will I need to know?
The course emphasizes the use of R programming for building AI and machine learning models. Familiarity with R is helpful, but the course will also cover essential programming skills to get you started.
Are there any live sessions or is the course entirely self-paced?
While the majority of the course is self-paced, there will be one live Master Class per month where you can interact with instructors, ask questions, and clarify doubts.
Will this course help me transition into a career in finance and AI?
Definitely! The course covers applications of AI & ML in finance, including algorithmic trading, credit scoring, and risk management, preparing you for a variety of roles such as Data Scientist, Financial Analyst, and Machine Learning Engineer.
What industries is this course applicable to?
The course is relevant to professionals in financial services, banking, fintech, wealth management, and investment sectors. It also applies to data science, business analytics, and equity research industries.
Will this certification help in securing job placements?
Yes! This course provides practical skills in AI & ML applied to finance, which are in high demand across sectors. Companies like Mu Sigma, Fractal Analytics, Nomura, ICICI, HDFC, and HSBC are some of the employers seeking such expertise.
Are there any prerequisites for this course?
A basic understanding of statistics and programming is recommended. The course is well-suited for students with undergraduate degrees in management, engineering, commerce, and finance, as well as professionals looking to upgrade their skills.
How will the course help me in real-world applications?
The course focuses on hands-on projects and practical implementations. You’ll work on real-life finance problems like building AI models for investment insights, financial risk management, and credit scoring, using R programming.
Can I interact with the instructors during the course?
Yes, you will have opportunities to interact with the instructors during the monthly live Master Classes, where you can ask questions and gain deeper insights into the topics covered.
Is there any placement support offered after the course?
While there is no formal placement support, the skills and certification provided by this course will make you a strong candidate for a range of roles in finance and AI-driven industries.
