Advanced Program in AI for Financial Markets by National Stock Exchange of India Ltd via TalentSprint: Fee, Duration, How to Apply

Quick Facts

particular	details
Medium of instructions English	Mode of learning Self study, Virtual Classroom	Mode of Delivery Video and Text Based

Course overview

Strengthen your foundations in Math and Programming for your DeepTech learning journey with the Advanced Program in AI for Financial Markets certification. This certificate programme is taught for full 6 months as live sessions. This course is ideal for professionals having experience in Investment Banking, Commodity Markets, Hedge Funds, Stock Markets, and more. This programme is brought to every participant by TalentSprint, which is an NSE group company on its own platform.

The Advanced Program in AI for Financial Markets training is designed by leveraging the expertise of the NSE which is India’s largest stock exchange, and also the world’s largest Derivative Exchange (2020) and. The program will help the financial market professionals so that they can unlock the power that comes with AI technologies. which brings transformational high-end and deep-tech learning programs to emerging and experienced professionals.

Course and certificate fees

Fees information

₹ 170,000 ₹200,000

The Advanced Program in AI for Financial Markets certification fee is different for domestic candidates and different for international residents. The international ones are charged $2,800, and the domestic ones are charged Rs. 2,00,000. Whereas the participant’s fee may get reduced to 1,70,000 for the national residents, and $2,300 for the international ones with early bird scholarships. Also, a 0% EMI is available, and the fee that is charged is non-refundable.

Advanced Program in AI for Financial Markets Fee Structure

Description	Fee
Programme Fee, Domestic Participants	Rs. 2,00,000
Programme Fee, International Participants	$ 2,800

certificate availability

Yes

certificate providing authority

National Stock Exchange of India Ltd

Who it is for

Any professionals with 1-10 years of experience in diverse fields of finance, marketing with job roles managers, co-founders, product management analysts, software engineers, and more.

Eligibility criteria

Educational Qualification

Applicants must for sure have a graduation degree from any university.

Certification Qualifying Details

The completion of this course will lead to obtaining an Advanced Program in AI for Financial Markets certification by NSE TalentSprint.

What you will learn

Knowledge of artificial intelligence

With the Advanced Program in AI for Financial Markets certification syllabus, the candidates will learn:

The candidates will be using how one will be using AI to give advice to the investors along with inputs that will drive results.
The analytical decision-making capabilities of the individuals will reach their peak after development.
The professionals will be building, and growing their portfolio of consulting.
The syllabus will dive deep into the stock trading of driving the AI.

The syllabus

Introduction to Data Science in Finance

Capital Markets: Participants, Asset Classes
Financial Math: Compounding, AAR (Accounting Rate of Return), Present Value, Bond Math
Stock returns (In connection to Random Distributions): Mean, Standard Deviation, Probability, Gaussian distributions, Z-scores, etc
Lab: Download Prices, Price adjustments, Connection to Gaussian

Fundamentals of Valuation

Financial Statement Analysis
Risk, Return, and Portfolio Theory
Equity Valuation
Bond Markets, Valuation, and Risk Management

Introduction to Machine Learning

Mutual Funds & Performance Attribution: Linear Regression, Understanding Beta, CAPM (Capital Asset Pricing Model)
Introduction Classification: Logistic Regression (Bankruptcy prediction, Loan defaults)
Feature Engineering, Outliers & Regularization
Index Tracking Mutual Fund – Regularization

Unsupervised Learning and Optimization

Unsupervised Learning - Portfolio Selection: PCA, Clustering
Optimization: Markowitz Allocation

Advanced Machine Learning Methods

Other ML algorithms: KNN (K-Nearest Neighbors), Recommendation Engine, Decision Trees, Association Rules, Ensemble Algorithms
Text & Sentiment Analytics: Twitter sentiment, News Sentiments
Visualization
Neural Networks

Understanding Market Behavior: Market Microstructure, Behavioral Finance & Derivatives

Options, Futures, and Other Derivatives
Derivatives Strategies and Valuation
Efficient Markets and Behavioral Finance
Market Microstructure
Technical Analysis

Algorithmic Trading

Algorithmic Trading: Indicators, Backtesting, Position sizing, Stops, ML in Algorithmic Trading
Options Strategies

Time Series and Forecasting Methods

Forecasting: Macroeconomic Variables, Arima, FB (Facebook) Prophet, VAR (Vector Autoregression), LSTM (Long Short-Term Memory) & CNN (Convolutional Neural Network)

Blockchain and Big Data Engineering

Introduction to Blockchain
Big Data Engineering

Capstone Projects

Stock Selection Algorithm using Fundamental Data
Adjusting Leverage in a Portfolio using AI-based methods
Smart Portfolio Allocation Strategy
Stock Price Prediction using ML methods
Build Volatility Forecasting Algorithm using Time Series methods
Automated Stock Trading Using ML Algorithms
NSE Stock Market Prediction Using Deep-Learning Models
Time Series Forecasting of a company’s Stock Prices Using LSTM

Case studies and Hands-on Labs

Creation of Index Tracking Funds
Anti-money Laundering
Robo-advisors
Risk Monitoring in Hedge Funds
Forecasting of Economic Series

Admission details

Here is the Advanced Program in AI for Financial Markets classes admission process:

Step 1: Visit the official site: https://nse.talentsprint.com/aifm/.

Step 2: Next, a programme application online has to be conducted.

Step 3: Then the students need to keep waiting for their application to be confirmed, and their selection.

Step 4: Next the confirmed students will have to block their seat by fee payment.

Step 5: Finally after blocking the seat is done, the enrolment is confirmed.

Filling the form

The application must be made by submitting details like email, name, organisation, experience, residence country, through an online form on the website of Talent Sprint.

How it helps

Some Advanced Program in AI for Financial Markets benefits are:

Candidates can build a profile that is professional with a deep understanding of technology.
The participants shall be getting priority access towards career opportunities in this industry field.
Become a member of an exclusive community of DeepTech experts
If possible, the candidates will also be able to boost their startups along with the ideas of professional mentorships